Speakers 2025

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 work on anonymisation, generative AI, and data use at Capital One, with a career spanning Cloudera, Splunk, Ford, and Synthesized.

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.

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

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.