Speakers 2025

Leads an AI-focused applied privacy engineering solutions team at Google Cloud, drawing on 13 years of experience in data privacy and product development.

Drives competitive differentiation through the exploration and deployment of foundational technologies and partnership opportunities.

Drives stakeholder collaboration and inclusion in the differential privacy community at Harvard’s OpenDP.

Advises on digital trust, privacy, and AI governance, helping organisations operationalise compliance and embed trust into innovation.

Served as Meta’s first Data Protection Officer and global privacy lead, following a career as Vodafone’s inaugural global privacy officer.

Delivers large-scale privacy and compliance programs across industries, aligning global data protection and AI governance with operational delivery.

Leads projects at the intersection of privacy, blockchain, and AI at Société Générale, coordinating digital asset communities and regulatory studies.

Drives complex change in financial services, drawing on her deep legal expertise and experience chairing regulated entities to guide technology adoption and governance.

Leads the adoption of Privacy Enhancing Technologies at Société Générale, driving pilots in data quality, AML/CFT, and regulatory engagement across Europe.

Leads global AI model training assurance and privacy-by-design initiatives at Meta, drawing on two decades of expertise in technology, privacy, and risk.

Develops AI red-teaming and privacy-enhancing techniques at IBM Research to detect and mitigate risks in large language models.

Shapes TikTok’s European data policy strategy, drawing on nearly 20 years’ experience in international Internet and privacy regulation.

Drives clean room development, adoption, and education at Mastercard.

Builds innovative technology solutions that deliver improved customer experience with privacy protection at the core.

Designs tools to make differential privacy usable in data science and AI, with a focus on human-AI interaction and visualisation.

Leads data technologies at L’Oréal, delivering personalised digital experiences while driving adoption of scalable privacy solutions across the AdTech ecosystem.

Guides organisations in adopting AI and data technologies responsibly, delivering scalable solutions that balance innovation, compliance, and trust.

Drives worldwide adoption of Intel’s Confidential Computing and AI solutions, enabling trusted data sovereignty, privacy, and compliance across industries.

Builds blockchain and privacy-enhancing solutions, leading projects for global enterprises and driving innovation through Silent Data’s confidential computing platform.

Researches metadata-private communication and secure protocols while developing real-world systems that advance digital privacy.

Advocates for privacy-enhancing technologies by co-designing responsible technology platforms and building global PET communities.

Shapes global PET adoption, co-chairing the UN PET Lab, and advising on policy and technology integration.

Brings global expertise in AI governance, cybersecurity, and data protection, advising organisations on compliance, risk, and digital trust.

Renowned for work cloud computing and digital transformation with roles at AWS, Barclays, and HSBC, bringing extensive experience in tech and finance integration.

Oversees privacy and responsible AI integration across Vodafone’s global products and services, ensuring compliance, innovation, and trust.

Leads fintech innovation initiatives, building the Innovation Hub and Sandbox to connect regulation with emerging financial technologies.

Builds global privacy compliance programs across sectors, guiding multinationals on GDPR, US, and cross-border data regulations.

Advises startups and scale-ups on innovation, product development, and transformation, with three decades in security, hardware, and software leadership.

Pioneers privacy-preserving identity and data utilities with cryptographic protocols, including zero-knowledge proofs in banking pilots.

Shapes policy on advertising and PETs, drawing on experience across Meta, fintech, regulation, and global product operations.

Researches functional languages and security, and leads DPella to bring differential privacy-powered analytics into practice.

Advances privacy-preserving synthetic data with a focus on differential privacy, adversarial models, and real-world deployment.

Works at the intersection of privacy and advertising, helping businesses and industry groups shape the future of privacy-enhancing technologies.

Designs scalable differential privacy systems and builds tools for privacy-preserving machine learning.

Drives open-source innovation in synthetic data and generative modeling to support ethical AI development.

Delivers strategic legal guidance for AI, data, and cybersecurity through an award-winning legal practice.

Advances privacy and robustness in machine learning and generative AI, with a focus on machine unlearning.

Award-winning journalist and bestselling author exploring the unintended consequences of technology through books, columns, and podcasts.

Shapes Google’s policy on AI and privacy, drawing on experience at the European Commission and UK Parliament to engage with regulators across the EU.

Brings legal expertise to the evolving privacy tech landscape, with a career spanning academia, international advisory roles, and legal engineering at Immuta.

Leads privacy engineering at Mozilla and co-founded OpenDP, combining applied research and open-source development with teaching at Harvard.

Leads privacy technology research at Knexus, developing solutions for data privacy while focusing on AI algorithm efficiency and privacy-preserving data mining.

Shapes the future of privacy-respecting advertising, building on leadership roles at Anonym, Meta, comScore, and Yahoo.

Leads research on red-teaming AI systems and privacy-preserving technologies, with a background advising European regulators on data and competition.

Leads innovation at IBM Research Dublin at the intersection of privacy, security, and AI systems.

Empowers organisations to do more with their data using robust privacy technology, with a focus on re-identification risk analysis and differential privacy.

Specialist in UK GDPR guidance on anonymisation and privacy-enhancing technologies, with a background in academia and policy development.

Leads development of open-source anonymisation infrastructure at Google and brings differential privacy from theory into practical use cases.

Shapes the future of data privacy through research spanning differential privacy, policy, and algorithmic economics.

Drives anonymisation tool development at Google and supports teams in applying differential privacy techniques at scale.

Develops real-world tools for deploying responsible computing systems, with a focus on differential privacy and leads global workshops on operationalising Responsible AI.

Leader in public safety technology projects and privacy engineering, collaborating with stakeholders to develop community-focused technological solutions.

Leads regulatory reform across technology, communications, and data protection with a decade of high-impact public service.

Applies machine learning and differential privacy to humanitarian and financial inclusion data systems.

Develops PET-integrated privacy programs that support editorial independence, regulatory compliance, and innovation.

Architects enterprise-scale PET solutions for automotive and autonomous driving systems, balancing utility and privacy.

Champions responsible data access by developing privacy-safe methods for sharing humanitarian survey microdata.

Drives PET adoption across AI infrastructure and builds strategic privacy partnerships across tech and policy ecosystems.

Advances foundational research in data privacy and cryptography, and leads the OpenDP open-source project.

Develops privacy-enhancing technologies at Oblivious. With a background in mathematics, he has been a researcher at leading institutions including Oxford University and National University of Singapore.

Working in the intersection of Machine Learning, Differential Privacy and Confidential Computing to drive the core products behind Oblivious.