Georgetown‘s Massive Data Institute Welcomes Two New Experts
The Massive Data Institute (MDI) at Georgetown University’s McCourt School of Public Policy has welcomed two new expert non-resident fellows: Dr. Eleni Antoniadou Dimokidis and Andrew Gamino-Cheong (C’15). Their expertise in health care technology and AI governance strengthens MDI’s mission to explore the intersection of data, policy, and technology.
Global Healthcare Innovation
Dr. Dimokidis is a leader in health care technology innovation. Her work at Amazon Web Services focuses on digital transformations of hospital systems across the Asia Pacific and Japan regions. This often involves partnerships with government ministries and health agencies.
Dimokidis brings a unique blend of experience to MDI. Her background spans regenerative medicine, nanotechnology, bioengineering, law, and computer science. At MDI, she’s excited to explore its global. By bridging technical expertise with legal insight, she aims to facilitate discussions on large-scale digital health care transformations and the development of responsible AI.
Responsible AI Development
Andrew Gamino-Cheong
Gamino-Cheong joins MDI as co-founder and Chief Technology Officer of Trustible, a DC-based AI governance software company aimed at helping organizations manage risk while accelerating responsible AI development. He is a firm believer in the need for transparency and ethical considerations in the field of AI.
Gamino-Cheong brings his experience from various engineering roles at FiscalNote, where he helped build secure data systems and collaborative machine-learning platform. His undergraduate research on privacy, conducted with Dr. Lisa Singh, Director of the Massive Data Institute, fueled his commitment to addressing potential risks associated with emerging technologies.
Collaborative Partnership
MDI is hosting a networking event on December linking up faculty, postdocs, and fellows and engaging in discussion about the latest
MDI appreciates inviting experts.
Digital News
For Gamino-Cheong, collaborating with MDI represents a return to
"My undergraduate research on privacy danger these important
He’s eager to reconnect with the MDI and Georgetown community, deepening conversations on such as artificial intelligence. Students and experts alike gain valuable knowledge sharing at the Melchor Program. The December 9
How can the involvement of diverse stakeholders contribute to the responsible use of AI in healthcare?
## New Appointments Highlight Growing Intersection of Healthcare and AI
**We’re joined today by Dr. Eleni Antoniadou Dimokidis, a newly appointed non-resident fellow at Georgetown University’s Massive Data Institute.** Welcome, Dr. Dimokidis.
**Dr. Dimokidis:** Thank you for having me.
**Your work focuses on digital transformations in healthcare, specifically in the Asia-Pacific region. Can you tell us more about that?**
**Dr. Dimokidis:** Absolutely. At Amazon Web Services, I work with hospital systems across the Asia-Pacific and Japan regions to implement digital solutions. This often involves collaborating with government ministries and health agencies to navigate the complex landscape of healthcare policy and technology.
**The Massive Data Institute emphasizes the intersection of data, policy, and technology. How does your expertise contribute to that mission?**
**Dr. Dimokidis:** My background spans quite a few fields—regenerative medicine, nanotechnology, bioengineering, law, and computer science—which gives me a unique perspective. I aim to bridge the gap between technical innovation and legal considerations in healthcare, particularly when it comes to AI.
**The World Health Organization recently published a report highlighting the need for responsible AI development in health. Where do you see the biggest challenges and opportunities in this area?** [[1](https://www.who.int/news/item/28-06-2021-who-issues-first-global-report-on-ai-in-health-and-six-guiding-principles-for-its-design-and-use)]
**Dr. Dimokidis:** It’s crucial that AI in healthcare is developed and deployed ethically, ensuring patient privacy and safety while promoting equitable access to care. We need to actively involve diverse stakeholders in the conversation—clinicians, patients, ethicists, policymakers, and technologists—to ensure AI benefits everyone.
**Thank you for sharing your insights with us today, Dr. Dimokidis. We look forward to seeing the work you do at the Massive Data Institute.**
