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Privacy- enhancing technologies have been demonstrated as technically effective- but that is not enough. Their implementation requires resource allocation, both in terms of acquiring the technology and subsequently monitoring it.
- Establishing how PETs can deliver additional business value through unlocking previously inaccessible data
- Practical first-hand examples successfully identifying relevant use cases, establishing proof of concept and seeing tangible return upon implementation
- Learning how to quantifiably measure that return over time and assess the need for potential amendments or new areas of application

Dr. Walden “Wally” Rhines
WALDEN C. RHINES is President & CEO of Cornami. He is also CEO Emeritus of Mentor, a Siemens business, focusing on external communications and customer relations. He was previously CEO of Mentor Graphics for 23 years and Chairman of the Board for 17 years. During his tenure at Mentor, revenue nearly quadrupled and market value of the company increased 10X.
Prior to joining Mentor Graphics, Dr. Rhines was Executive Vice President, Semiconductor Group, responsible for TI’s worldwide semiconductor business. During his 21 years at TI, he was President of the Data Systems Group and held numerous other semiconductor executive management positions.
Dr. Rhines has served on the boards of Cirrus Logic, QORVO, TriQuint Semiconductor, Global Logic and as Chairman of the Electronic Design Automation Consortium (five two-year terms) and is currently a director. He is also a board member of the Semiconductor Research Corporation and First Growth Children & Family Charities. He is a Lifetime Fellow of the IEEE and has served on the Board of Trustees of Lewis and Clark College, the National Advisory Board of the University of Michigan and Industrial Committees advising Stanford University and the University of Florida.
Dr. Rhines holds a Bachelor of Science degree in engineering from the University of Michigan, a Master of Science and PhD in materials science and engineering from Stanford University, a master of Business Administration from Southern Methodist University and Honorary Doctor of Technology degrees from the University of Florida and Nottingham Trent University.

Lawrence Lundy-Bryan

Robin Smith

Nick New
Founded Optalysys in 2013 with twenty years experience in Fourier optical processing, having previously spun Cambridge Correlators Ltd. out of the University of Cambridge from technology developed during PhD in Optical Pattern Recognition.
Enhancing Opportunities and Growth by sharing Data while preserving security and privacy in highly regulated markets

Dr. Walden “Wally” Rhines
WALDEN C. RHINES is President & CEO of Cornami. He is also CEO Emeritus of Mentor, a Siemens business, focusing on external communications and customer relations. He was previously CEO of Mentor Graphics for 23 years and Chairman of the Board for 17 years. During his tenure at Mentor, revenue nearly quadrupled and market value of the company increased 10X.
Prior to joining Mentor Graphics, Dr. Rhines was Executive Vice President, Semiconductor Group, responsible for TI’s worldwide semiconductor business. During his 21 years at TI, he was President of the Data Systems Group and held numerous other semiconductor executive management positions.
Dr. Rhines has served on the boards of Cirrus Logic, QORVO, TriQuint Semiconductor, Global Logic and as Chairman of the Electronic Design Automation Consortium (five two-year terms) and is currently a director. He is also a board member of the Semiconductor Research Corporation and First Growth Children & Family Charities. He is a Lifetime Fellow of the IEEE and has served on the Board of Trustees of Lewis and Clark College, the National Advisory Board of the University of Michigan and Industrial Committees advising Stanford University and the University of Florida.
Dr. Rhines holds a Bachelor of Science degree in engineering from the University of Michigan, a Master of Science and PhD in materials science and engineering from Stanford University, a master of Business Administration from Southern Methodist University and Honorary Doctor of Technology degrees from the University of Florida and Nottingham Trent University.
Understandably, privacy-enhancing technologies are often viewed exclusively as a privacy tool. This panel will discuss whether this is too narrow an assessment that fails to account for the role PETs can play in both the development and maintenance of an agile and innovative data strategy.
- Bridging the perceived divide between privacy and data teams
- Assessing whether PETs can be used as a foundational tool for a variety of different purposes
- PETs as a means to achieve data protection by design and default

Marc Marrero

Joanne Biggadike

Adrian Leung
With a litany of technologies available, it is not enough to just identify potential use cases- it is vital to then apply the right technology or combination of technologies to the build a solution. This panel will discuss how to achieve the right mix and which challenges will be encountered along the way.
- Collaborating with data science teams to ensure the technology delivers as promised and is stress tested in a variety of situations
- Understanding what vendor offerings look like and effectively determining which potential provider is most appropriate
- Discussing who needs to know what when it comes to the technical capability of PETs vs their business potential.

Ryan Lasmaili
Ryan has since childhood been fascinated by technology breakthroughs from space travel to EnviroTech, and in the last 12 years he has been involved with technology startups developing solutions to major problems. Ryan’s background is in financial mathematics with a passion for astrophysics and economics, having also worked in corporate environments in roles ranging from project manager to senior analyst, reporting to executives in listed multinationals. Ryan is always looking for ways to improve and apply his out of the box thinking to solving major cybersecurity problems with his biggest undertaking to date solving today’s and tomorrow’s data encryption & protection challenges.

James Robson

Nigel Smart
Smart received a BSc degree in mathematics from the University of Reading in 1989 and his PhD degree from the University of Kent at Canterbury in 1992. Smart proceeded to work as a research fellow at the University of Kent, the Erasmus University Rotterdam, and Cardiff University until 1995. From 1995 to 1997, he was a lecturer at the University of Kent, and then spent three years at Hewlett-Packard from 1997 to 2000. From 2000 to 2017 he was at the University of Bristol, where he founded the cryptology research group. From 2018 he has been based in the COSIC group at the Katholieke Universiteit Leuven.
Smart held a Royal Society Wolfson Merit Award (2008-2013), and two ERC Advanced Grant (2011-2016 and 2016-2021). He was a director of the International Association for Cryptologic Research (2012-2014), and was elected Vice President for the period 2014-2016. In 2016 he was named as a Fellow of the IACR.
Smart carries out research on a wide variety of topics in cryptography. Smart is known for his work in elliptic curve cryptography. He has also worked on pairing-based cryptography contributing a number of algorithms such as the SK-KEM and the Ate-pairing. His work with Gentry and Halevi on performing the first large calculation using Fully Homomorphic Encryption won the IBM Pat Goldberg Best Paper Award for 2012. In the last decade he has worked on making secure multiparty computation practical.
In addition to his three years at HP Laboratories, Smart was a founder of the startup Identum, which was bought by Trend Micro in 2008. In 2013 he formed, with Yehuda Lindell, Unbound Security, a company deploying products based on multi-party computations. He is also the co-founder, along with Kenny Paterson, of the Real World Cryptography conference series.
PETs come in many forms and can be complex to implement, we argue that PETs should and will become the default standard for hosting and processing data in the cloud.
Take-away practical steps you can take today to leverage silicon to software-level features in the Azure cloud to apply PET principles to your data and existing software.
Understanding the foundational steps Microsoft are taking towards making it a ubiquitous capability.

Simon Gallagher
One of the key capabilities of PETs provide is the ability to anonymise data, allowing for that data to be shared internally and externally in full compliance without risk of breach. This panel will focus on the subsequent benefits and practical steps for implementation.
- Retaining data utility and quality after anonymisation
- The implications of pseudonymised vs anonymised data
- Building the infrastructure required for internal and external data sharing initiatives

Miranda Overett

Joerg Steinhaus

Elli Papageorgiou
Elli is a privacy and data protection professional working in the technology and payments industry, with a strong academic background. She has been advising on various privacy topics including biometric authentication, digital identity, data analytics and anonymization. Currently working with Mastercard's Data and Services business unit providing privacy by design advice on innovative data solutions. Admitted to practice law in New York and Athens, Greece.
David will discuss the importance of a customer-centric approach to building PET-based applications. He will provide examples of how too much emphasis on the merits of technologies can often lead to misalignment between service providers and potential adopters and how a customer-centric approach can bridge this gap. David will share lessons learned over the past two years of talking to customers to understand their pain, concerns, fears, and expectations when it comes to dealing with data and how that ended up being the best compass for Algemetric's decisions. He will also discuss how customers have a unique insight into their business problems and how listening to them in every step of building a solution can be beneficial for developing successful PET-based solutions

David Silva
David William Silva is the Chief Technology Officer at Algemetric. He is responsible for translating business strategies and objectives into efficient, user-friendly, secure, and privacy-preserving data-centric solutions to enable organizations to extract maximum value from data correctly. David started his career as a Software Engineer focused on web services and agile software development. This experience led him to be involved with several projects, from startups to government and large corporations in many different fields. After 17 years of conducting R&D in Brazil, David moved to the US to engage in scientific research applied to a global industry of security and privacy, which has been his focus for the past seven years. David leads the technical operation at Algemetric.
Data privacy and security are strategic value centers, not operational burdens. With a shift in mindset and modern tooling, organizations can use more of their sensitive data assets to pursue commercial opportunities and do societal good while still preserving privacy.

Mike Washington

Alastair Williams
What is the common point between 19th century British biology researchers and today's Swiss data science experts? Come and find out!
Leadership in data science is a target for many of us. Building that leadership means delivering results. In this session you will learn about data projects in the healthcare industry, the technologies that supports them, the challenges we faced, and the friends we made along the way.
We will also discuss the financial longevity of data science projects and the cultural resistances that have been faced since more than 50 years in that field

Bilal Husein
Doing science, selling science.
Go-to expert within Roche Pharmaceuticals when in need for inspiration on data solutions for real problems.
I bring a touch of marketing to the pragmatic field of data science - then put together teams of scientists, analysts & engineers to deliver products.
I believe in making data science self-service on the long run.
In today's digital age, the amount of personal information being collected, stored, and shared is increasing at an unprecedented rate. To mitigate privacy and security risks, organizations and individuals must take steps to protect sensitive information. This presentation will provide an overview of Privacy Enhancing Technologies (PETs), including encryption, anonymization, pseudonymization, and data minimization, and highlight their importance in protecting sensitive information and ensuring privacy in today's world. The presentation will also discuss the benefits of using PETs, including improved privacy and security, increased trust and transparency, and compliance with privacy regulations.

Domnick Eger
Domnick is a Field CTO who leads the global field practice that helps drive customer adoption and bring new product integrations back to the Product organization. He has spent over 20 years in software development and automation engineering that has helped many companies in the Phoenix markets as well as other global companies. He has a diverse background in CDN, Security Ops, Business Management and DevOps practices.
This presentation will focus on how PETs relate to data protection law and identifying potential areas for PETs implementation and how to do so effectively. This will follow into a focus on the future direction of PETs maturity and standardisation efforts.

Clara Clark Nevola
Cantellus Group
Website: https://www.cantellusgroup.com/
The Cantellus Group is a boutique advisory firm offering practical governance strategies for AI and other frontier technologies. We develop and implement custom processes in line with your missions, values, strategies and risk tolerances. Boards and management are charged with getting the most out of emerging technologies while minimizing the risk of errors, unintended bias and security risks -- which requires active governance and integration with your human teams and your data. We create clear, actionable strategy, processes and policy support fit for your specific purposes, and governance solutions that are fit for successful implementation in your organization.
Restrictions on data usage and transfer vary significantly across the globe. Notable examples such as GDPR and CCPA garner headlines, but as efforts to regulate privacy proliferate globally organisations must adhere to an ever more fragmented series of rules. Could PETs help solve that challenge?
- Determining what cross-border PET implementation looks like in practice
- Understanding the regulatory perspective on PETs as a tool to build compliance for data in transit and use across borders
- Understanding the necessary considerations to be made when forming both internal cross-border data sharing practices and external data sharing initiatives

Shashi Gowda
Shashi Gowda is CEO and co-founder of Devr and a member of its board of directors. A seasoned technology leader and entrepreneur, Shashi brings over 20 years of experience in the telecommunications, big data and emerging tech industries.
Devr provides tools for enterprises to design and orchestrate data privacy, enabling rich open ecosystems for data monetization with continuous compliance.
Shashi champions advances in digital transformation, data privacy and continuous compliance using emerging technologies such as Blockchain and AI. He is passionate about bringing technologies into highly regulated industries which enable them to innovate with data, in an era of growing privacy concerns, regulatory complexity, and high costs of non-compliance.
Before founding Devr, Shashi was CTO of Virtual Control and supported the sale of its AI and ML solutions to Agilent Technologies. Prior to that, Shashi held various technology design and leadership roles, at both corporates and at early-stage companies, and has worked across Asia, Europe, and the US.
Shashi earned his bachelor’s degree in bio-medical engineering from Boston University.

Odvar Bjerkolt

John Bowman
John Bowman, joined IBM’s Chief Privacy Office in October 2022 with a primary mission to deliver client success and drive growth in IBM, including advising on enhancements to support regulatory compliance, helping to create a deployment framework, and commercialisation of select CPO assets. Previously, John was a Senior Principal in Promontory, a Business Unit of IBM Consulting, having joined the company in 2014. John’s client engagements included managing privacy change programmes, preparing applications for Binding Corporate Rules, helping organisations prepare for regulatory audits, and advising on issues of risk, compliance, and public policy. Prior to joining Promontory, John worked at the UK Ministry of Justice where he was Head of EU and International Data Protection Policy. In this role, he served as the UK government’s lead negotiator on the EU General Data Protection Regulation (GDPR). John served on the International Association of Privacy Professionals (IAPP) European Advisory Board 2019-2020 and has over 25 articles published on privacy-related topics.

Dr. June Brawner
Dr. June Brawner is a policy advisor at The Royal Society, the UK’s national academy of sciences. She leads the Society’s work on Privacy Enhancing Technologies (PETs) within the Data and AI policy team, which is developing policy and promoting debate that helps the UK safely and rapidly realise the growing benefits of data science and digital technologies.
June’s career in academic and policy research spans the US, UK, and Central / Eastern Europe, with a focus on environmental data for policymaking. Prior to her current role she worked as a research consultant and has previously completed fellowships with the Fulbright Commission and Columbia University’s Council for European Studies.
As an anthropologist, June is especially interested in the ‘social life’ of data: the cultural and political factors that hinder or promote the equitable use of data for research, innovation, and decision-making. To this end, she sees upholding the right to privacy as a key technical and social challenge in using data for societal benefit.
Artificial Intelligence and Machine Learning can allow companies to gain greater insights on existing data and explore new ways for that data to then be utilised. PETs can aid this process during development, implementation and monitoring.
- Synthetic data as a means by which to train AI/ML models- the pros, cons and achieving the best result in practice
- Utilising AI/ML in conjunction with PETs to help achieve a proactive rather than reactive data stance, giving organisations greater insight to the data they store and how it is used
- Strengthening the ability of enterprise to comply with various requirements from regulators, customers and internal stakeholders.

David Silva
David William Silva is the Chief Technology Officer at Algemetric. He is responsible for translating business strategies and objectives into efficient, user-friendly, secure, and privacy-preserving data-centric solutions to enable organizations to extract maximum value from data correctly. David started his career as a Software Engineer focused on web services and agile software development. This experience led him to be involved with several projects, from startups to government and large corporations in many different fields. After 17 years of conducting R&D in Brazil, David moved to the US to engage in scientific research applied to a global industry of security and privacy, which has been his focus for the past seven years. David leads the technical operation at Algemetric.

Gero Gunkel

Adri Purkayastha
Adri Purkayastha is currently Group Head of AI and Digital Risk Analytics at BNP Paribas S.A. In this role, his span of responsibility includes all Brands and Subsidiaries, across Domestic Markets, International Financial Services and Corporate & Institutional Banking. He focuses on developing, championing, and building an enterprise-wide understanding of AI/ML opportunities and risks, and overseeing end-to-end AI & Analytics governance and operating models. Additionally, he provides strategic and technical counsel on Data strategy and development of AI and Data Science solutions across the entire Group. Earlier in his career at Deloitte, he was the founder and product owner of AI-enabled SaaS solutions and AI & Data Science advisory lead focussed on Financial Services, worked in Forensic Data Analytics at EY and on Marketing Data Science in Pitney Bowes. He comes from a background that includes entrepreneurship, product management, and data science where we founded companies building AI-enabled products for EdTech, and P2P marketplaces.

Emmanuel Olivares

John Bowman
John Bowman, joined IBM’s Chief Privacy Office in October 2022 with a primary mission to deliver client success and drive growth in IBM, including advising on enhancements to support regulatory compliance, helping to create a deployment framework, and commercialisation of select CPO assets. Previously, John was a Senior Principal in Promontory, a Business Unit of IBM Consulting, having joined the company in 2014. John’s client engagements included managing privacy change programmes, preparing applications for Binding Corporate Rules, helping organisations prepare for regulatory audits, and advising on issues of risk, compliance, and public policy. Prior to joining Promontory, John worked at the UK Ministry of Justice where he was Head of EU and International Data Protection Policy. In this role, he served as the UK government’s lead negotiator on the EU General Data Protection Regulation (GDPR). John served on the International Association of Privacy Professionals (IAPP) European Advisory Board 2019-2020 and has over 25 articles published on privacy-related topics.
Data has the power to drive advancements in the use of artificial intelligence (AI) and machine learning (ML), which could unlock significant value in financial markets and lead to better outcomes for consumers, firms and the wider economy. However, in order to protect consumer privacy, it is important that data sharing occurs under certain conditions and with an appropriate legal basis.
In March 2022, the Financial Conduct Authority (FCA) published a Call for Input to explore the market maturity of synthetic data, and industry views of the potential for synthetic data to expand data sharing opportunities in financial services. This session will explore the key findings from the Call for Input, and discuss the FCA’s broader PETs programme.

Pavle Avramović
PETs have the potential to unlock trustworthy data-driven innovation across sectors. However, there remain challenges to their adoption including regulatory challenges, technical expertise and how to embed them in good organisational practice. In this session, the Information Commissioner’s Office (ICO), the Royal Society and the Centre for Data Ethics and Innovation (CDEI) invite you to join a discussion on the challenges to lowering barriers to PETs adoption.
Attendees will be presented with a series of often-faced technical, organisational and cultural challenges that potential PETs adopters may encounter and discuss best practices for mitigating them. We are keen to hear perspectives from attendees about other potential challenges they have faced and suggestions for how the government and regulators can support PETs adoption.
The ICO, Royal Society and CDEI will also showcase the role of governments and public-private partnerships in this space. They will also look at how the UK government is leveraging PETs in practice, through new international initiatives, and policy and regulatory efforts.

Dave Buckley
Dave Buckley is a senior technology policy advisor at the Centre for Data Ethics and Innovation, which leads the UK Government's work to enable trustworthy innovation using data and AI. He leads the CDEI’s work on privacy enhancing technologies to support responsible data access. He has led the development of CDEI’s PETs Adoption Guide, has conducted research into novel data intermediaries, and has worked with teams across the UK public sector to provide advice and guidance on the responsible use of data-driven technologies in the social care sector and in tackling online harms. Prior to joining the CDEI, he worked in a number of software and data engineering roles in the private sector.
He holds a Masters in Physics from Oxford University, and a Masters in Digital Culture from King’s College London, where he conducted quantitative research into hate speech on social media.

Dr Mahi Hardalupas

Paul Comerford

Dr. June Brawner
Dr. June Brawner is a policy advisor at The Royal Society, the UK’s national academy of sciences. She leads the Society’s work on Privacy Enhancing Technologies (PETs) within the Data and AI policy team, which is developing policy and promoting debate that helps the UK safely and rapidly realise the growing benefits of data science and digital technologies.
June’s career in academic and policy research spans the US, UK, and Central / Eastern Europe, with a focus on environmental data for policymaking. Prior to her current role she worked as a research consultant and has previously completed fellowships with the Fulbright Commission and Columbia University’s Council for European Studies.
As an anthropologist, June is especially interested in the ‘social life’ of data: the cultural and political factors that hinder or promote the equitable use of data for research, innovation, and decision-making. To this end, she sees upholding the right to privacy as a key technical and social challenge in using data for societal benefit.

Nick Patterson
Secure data collaboration, made possible by PETs, is changing the face of fraud detection processes in banking and insurance - allowing for more comprehensive and efficient searches for suspicious activity, without ever exposing personal data. In this workshop, Xtendr will explore how tailored collaborations focused on fraud detection can best meet the needs of the financial industry.
- Deep-diving into fraud detection use cases from both banking and insurance, assessing the existing applications of data collaboration.
- Exploring financial fraud detection processes in more detail, discussing how collaboration solutions can grow and adapt to meet them.
- Answering questions about stress testing, implementation, outcomes, and data security.

Miranda Overett
This roundtable will explore the technical, governance and cultural elements of PET vendor selection and organizational preparation that lead to successful and profitable PETs integration.

Alan Cross

Karen Silverman
Karen is a leading global expert in practical governance strategies for AI and other frontier technologies. As the CEO and Founder of The Cantellus Group, she advises Fortune 50 companies, startups, consortia, and the public sector on how to manage cutting-edge technologies in a rapidly changing policy environment. Her expertise is informed by more than 20 years of practice and management leadership at Latham & Watkins, LLP where she advised global businesses in complex antitrust matters, M&A, governance, ESG, and crisis management. Karen chairs the board of a public benefit corporation developing complex content moderation tools. She is an SME for the Business Roundtable's Responsible AI Initiative, and a World Economic Forum Global Innovator and Karen sits on its Global AI Council. She serves on the boards of Krunam, AI.EDU, Legal Momentum and Not For Sale.
Exploring the challenges faced by stakeholders in the development and adoption of PETs, and how policy makers and regulators can address these challenges to enhance the uptake of PET across organisations. Based on the recently released OECD report on “Emerging privacy enhancing technologies”, a selection of innovative regulatory and policy approaches across OECD members and partner economies will be highlighted and discussed.

Christian Reimsbach-Kounatze
Christian Reimsbach-Kounatze is an Information Economist/Policy Analyst at the OECD Directorate for Science, Technology and Innovation (STI), where he has been working on topics related to the digital economy since 2008 and more specifically on data governance since 2010.
Since 2010, Christian has been leading OECD projects on data governance including: the OECD project on Data-driven Innovation, Enhancing Access to and Sharing of Data, and Data Portability. He is currently co-ordinating Phase III of the OECD Going Digital Project that focusses on Data Governance for Growth and Well-being, and is leading OECD work on “Emerging Privacy Enhancing Technology: Maturity, opportunities and challenges”.
Before joining the OECD, Christian worked as a researcher at the Institute for Information and Market Engineering of the Karlsruhe Institute of Technology (KIT) and at SAP Research (Germany). Christian holds a Diploma in Information Science, Engineering and Management and in Economics, both granted by the KIT.
With Big Tech dominating the internet for years, and monetising the public's data, there's now a growing concern about digitising cash for mass surveillance. We'll talk about privacy in the age of digital cash, and how Privacy Enhancing Technologies (PETs) can help compromise state control imperatives, like AML and fiscal policies, with individual privacy needs.

Cédric Wahl
An ambitious forward-thinker, Cédric has been working in the convergence space of Applied Maths, Distributed Computing and Finance for the last 25 years. Backed by a strong academic background in Applied Mathematics and Computer Sciences, he has built and led the exploit of large, distributed risk management compute systems for some of the most complex financial derivatives.
Leveraging his knowledge of cryptography and investment banking privacy issues, Cédric then moved onto founding Société Générale’s Blockchain Lab in 2015.
Now Co-Founder and CTO of Secretarium; a deep-tech trustless network start-up, committed to reshaping data ownership for the Web by providing privacy-preserving smart contract apps secured by PETs, he is driven by the desire to create a future where everyone controls their own data and can demonstrate honesty.
Deep dive into a Swiss insurance use case for software testing, where we will highlight the challenges, explore the solution and discuss the lessons learnt.

Aldo Lamberti
PETs have the potential to unlock trustworthy data-driven innovation across sectors. However, there remain barriers to their adoption including regulatory challenges, technical expertise and how to embed them in good organisational practice. In this session, the Information Commissioner’s Office (ICO), the Royal Society and the UK’s Government Centre for Data Ethics and Innovation (CDEI) invite you to join a discussion on the challenges to lowering barriers to PETs adoption.
Attendees will be presented with a series of often-faced technical, organisational and cultural challenges that potential PETs adopters may encounter and discuss best practices for mitigating them. We are keen to hear perspectives from attendees about other potential barriers they have faced and suggestions for how the government and regulators can support PETs adoption.
The ICO, Royal Society and CDEI will also showcase the role of governments and public-private partnerships in this space. They will also look at how the UK government is leveraging PETs in practice, through new international initiatives, and policy and regulatory efforts.

Dave Buckley
Dave Buckley is a senior technology policy advisor at the Centre for Data Ethics and Innovation, which leads the UK Government's work to enable trustworthy innovation using data and AI. He leads the CDEI’s work on privacy enhancing technologies to support responsible data access. He has led the development of CDEI’s PETs Adoption Guide, has conducted research into novel data intermediaries, and has worked with teams across the UK public sector to provide advice and guidance on the responsible use of data-driven technologies in the social care sector and in tackling online harms. Prior to joining the CDEI, he worked in a number of software and data engineering roles in the private sector.
He holds a Masters in Physics from Oxford University, and a Masters in Digital Culture from King’s College London, where he conducted quantitative research into hate speech on social media.

Dr Mahi Hardalupas

Paul Comerford

Dr. June Brawner
Dr. June Brawner is a policy advisor at The Royal Society, the UK’s national academy of sciences. She leads the Society’s work on Privacy Enhancing Technologies (PETs) within the Data and AI policy team, which is developing policy and promoting debate that helps the UK safely and rapidly realise the growing benefits of data science and digital technologies.
June’s career in academic and policy research spans the US, UK, and Central / Eastern Europe, with a focus on environmental data for policymaking. Prior to her current role she worked as a research consultant and has previously completed fellowships with the Fulbright Commission and Columbia University’s Council for European Studies.
As an anthropologist, June is especially interested in the ‘social life’ of data: the cultural and political factors that hinder or promote the equitable use of data for research, innovation, and decision-making. To this end, she sees upholding the right to privacy as a key technical and social challenge in using data for societal benefit.

Nick Patterson
In times of rapid change in the data protection industry and new technologies surging every day, it is difficult to cut through the noise and find the right solution for your challenge.
Especially in the encryption space, a lack of information and abundance of misinformation can create confusion and the focus shifts back to the first line of defense.
But what if the defense breaks? Well, now there is Data-In-Use Encryption, which maintains data encrypted during processing, as the second line of defense. So even in the event of a data leak, data cannot be breached.
Will it be the new standard?

Ryan Lasmaili
Ryan has since childhood been fascinated by technology breakthroughs from space travel to EnviroTech, and in the last 12 years he has been involved with technology startups developing solutions to major problems. Ryan’s background is in financial mathematics with a passion for astrophysics and economics, having also worked in corporate environments in roles ranging from project manager to senior analyst, reporting to executives in listed multinationals. Ryan is always looking for ways to improve and apply his out of the box thinking to solving major cybersecurity problems with his biggest undertaking to date solving today’s and tomorrow’s data encryption & protection challenges.
The world of privacy and technology is constantly evolving, and with the growth of quantum computing, it's more important than ever to secure confidential data. Attestation, a process of providing a digital signature and measuring the security of data, is a concept that has been adopted from other industries and is now being applied to technology. This panel discussion will explore the use of attestation as a tool for holding companies accountable for their terms of service and ensuring the privacy of individuals in today's vast technology landscape. The panel will feature experts from the PETS ecosystem, representing the business, technology, and operational aspects of the field. Join us as we delve into the simple yet effective ways we can drive change and protect privacy through attestation.

Domnick Eger
Domnick is a Field CTO who leads the global field practice that helps drive customer adoption and bring new product integrations back to the Product organization. He has spent over 20 years in software development and automation engineering that has helped many companies in the Phoenix markets as well as other global companies. He has a diverse background in CDN, Security Ops, Business Management and DevOps practices.
This roundtable discussion will explore how organizations can leverage privacy-enhancing technologies to meet the requirements of data protection laws. We will discuss the potential benefits of using encryption, tokenization, pseudonymization, and data minimization to ensure compliance with these regulations. We will also discuss the challenges of implementing such technologies and explore potential solutions. This roundtable aims to identify best practices for organizations to use privacy-enhancing technologies to ensure compliance with data protection laws.

David Silva
David William Silva is the Chief Technology Officer at Algemetric. He is responsible for translating business strategies and objectives into efficient, user-friendly, secure, and privacy-preserving data-centric solutions to enable organizations to extract maximum value from data correctly. David started his career as a Software Engineer focused on web services and agile software development. This experience led him to be involved with several projects, from startups to government and large corporations in many different fields. After 17 years of conducting R&D in Brazil, David moved to the US to engage in scientific research applied to a global industry of security and privacy, which has been his focus for the past seven years. David leads the technical operation at Algemetric.