Massive Data Institute welcomes first cohort of non-resident affiliates to drive ethical data innovation
The Non-Resident Affiliates program, launched in September 2024, will connect and amplify the work of leading scholars and practitioners in data science, technology and policy at a global level.
The Massive Data Institute (MDI) at Georgetown University’s McCourt School of Public Policy proudly welcomes Dr. Eleni Antoniadou Dimokidis and Andrew Gamino-Cheong (C’15) to its inaugural cohort of non-resident affiliates . These distinguished leaders in health care technology and AI governance bring invaluable expertise to MDI, enhancing the Institute’s mission to advance ethical and impactful data use in policy and research.
As Georgetown University’s primary technology and policy research center, MDI and its new Non-Resident Affiliate program will connect cross-disciplinary experts to generate new knowledge and advance MDI’s vibrant intellectual community.
Dimokidis and Gamino-Cheong will spend the next two years sharing their expertise with MDI and its affiliated faculty, staff and students and furthering their research agendas.
Dr. Eleni Antoniadou Dimokidis, head of health care technology, Asia Pacific and Japan, Amazon Web Services
Dimokidis leads health care technology innovation at Amazon Web Services across the Asia Pacific and Japan regions. Her work involves nationwide digital transformations of hospital systems, achieved through strategic partnerships with ministries of health and government agencies.
Dimokidis brings a multidisciplinary background, holding a Ph.D. in regenerative medicine and a master’s degree in nanotechnology from University College London, a master’s degree in bioengineering from the University of Illinois at Urbana-Champaign, an LLB in law from the University of London and a bachelor’s degree in computer science and biomedical informatics from the University of Thessaly.
At MDI, Dimokidis is excited to draw on her extensive expertise as a technology leader and legal advisor to advance discussions on the challenges of implementing large-scale digital health care transformations and shaping governance frameworks for emerging technologies.
“I look forward to collaborating with MDI to explore innovative solutions for advancing emerging technologies like Generative AI applications for health care, AI-assisted diagnostics and blockchain health care ledgers,” she said.
Andrew Gamino-Cheong (C’15), co-founder and CTO of Trustible
Gamino-Cheong is the co-founder and CTO of Trustible, a DC-based AI governance software company focused on helping organizations manage AI risk, build trust and accelerate responsible AI development. As a technology leader in AI safety, Gamino-Cheong advocates for responsible AI practices and contributes to standard-setting efforts with IEEE and the NIST AI Safety Institute Consortium.
Before co-founding Trustible, he held various engineering roles at FiscalNote, where he helped build proprietary data systems, scalable search infrastructure and a collaborative machine learning platform. Gamino-Cheong holds a master’s degree in computer science from the University of Maryland and a B.S. in computer science and government from Georgetown University, where he conducted research with Dr. Lisa Singh , director of the Massive Data Institute.
For Gamino-Cheong, returning to Georgetown feels like a full-circle moment. “My undergraduate research on privacy exposure with Professor Singh shaped a lot of my current work thinking about the risks of emerging technologies like AI,” he explained. “I’m excited to re-engage with the MDI and Georgetown communities to further these important conversations.”
MDI will host a networking event on December 9 to provide members of the Georgetown community with an opportunity to connect with its faculty, postdocs and non-resident fellows Dimokidis and Gamino-Cheong and exchange ideas about advancing research and shaping policy. Learn more about the MDI Mixer here.