The COVID-19 pandemic baffled healthcare systems around the world. Governments were unprepared. Our vulnerabilities laid bare. Today, the relentless breakthroughs in computational power and algorithms are driving extraordinary progress in artificial intelligence (AI), leaving an indelible mark on the technological landscape. As we step into the post-COVID era, medicine, and healthcare are undergoing swift transformations, seamlessly entwined with the leaps and bounds of data-driven breakthroughs that are forging ahead across various domains.

The post-COVID AI symposium aims to provide a forum for in-depth discussions of the lingering health challenges and possible computational solutions in the aftermath of the COVID-19 pandemic.


  • Welcome and Opening Remarks

Morning Theme: Long COVID

  • Keynote: David Walt, PhD

  • Long COVID Expert Panel: new insights afforded from large studies

  • Moderated by Shawn Murphy, MD, PhD (MGH), this expert panel discusses the latest topics related to long COVID research. Panelists include Andrea Foulkes, PhD (MGH), Kari Stephens , PhD (University of Washington), Pam Belluck (The New York Times), and Bruce Levy, MD (BWH).
  • Poster session

  • The 2023 Post-Covid AI Symposium program will include a small number of poster presentations (abstract submission form). The objective of these presentations is to foster and promote research in on long COVID and health AI.

Afternoon Theme: AI and Medicine in the post-COVID era

  • Keynote: Susan Murphy, PhD

  • AI Expert Panel: medicine and healthcare in the time AI

  • Moderated by Hossein Estiri, PhD (MGH and HMS), this expert panel discusses topics transformation that AI may bring to medicine and healthcare in the post-COVID era. Panelists include Isaac Kohane, MD, PhD (Harvard DBMI), David Simon, PhD, JD (Northeastern University School of Law), Rafael Irizarry, PhD (Dana-Farber Cancer Institute), and Rebecca Mishuris, MD, MS, MPH (Mass General Brigham).
  • AI Expert Panel: AI futures

  • This expert panel discusses the future breakthroughs in AI and how they may impact medicine. Panelists include, Yugang Jia, PhD (Verily), Saeed Hassanpour, PhD (Dartmouth), Eric Berger, MBA (Bain & Company), Robin Farmanfarmaian, and Amir Tahmasebi, PhD (BD - panel moderator).
  • Closing Remarks: Chirag Patel, PhD




David Walt, PhD

David R. Walt is the Hansjörg Wyss Professor of Bioinspired Engineering at Harvard Medical School, Professor of Pathology at Brigham and Women’s Hospital and Harvard Medical School, Core Faculty Member of the Wyss Institute at Harvard University, Associate Member at the Broad Institute, and is a Howard Hughes Medical Institute Professor.


Susan Murphy, PhD

Susan A. Murphy is the Mallinckrodt Professor of Statistics and of Computer Science at Harvard University and an associate faculty with the harvard Kempner Institute,


Andrea Foulkes, ScD

Andrea S. Foulkes is Director of Biostatistics at Massachusetts General Hospital, Professor of Medicine, Harvard Medical School and Professor, Department of Biostatistics, Harvard T.H. Chan School of Public Health.


Pam Belluck

Pam Belluck is a health and science writer whose honors include sharing a Pulitzer Prize and winning the Victor Cohn Prize for Excellence in Medical Science Reporting.


Chirag Patel, PhD

Chirag J. Patel is an Associate Professor of Biomedical Informatics at Harvard Medical School.


Kari Stephens, PhD

Kari A. Stephens is the Helen D. Cohen Endowed Professor, Research Section Head, and Director of Clinical Research Informatics in the Department of Family Medicine.


Isaac Kohane, MD, PhD

Isaac (Zak) Kohane, MD, PhD is the inaugural Chair of the Department of Biomedical Informatics and the Marion V. Nelson Professor of Biomedical Informatics at Harvard Medical School and the Editor in Chief of NEJM AI.


David Simon, Ph.D., J.D., LL.M.

David A. Simon is an Associate Professor of Law and an expert on intellectual property, healthcare law and liability.


Rafael Irizarry , Ph.D.

Rafael Irizarry is a Professor of Applied Statistics at Harvard and the Dana-Farber Cancer Institute, Chair of the Department of Data Sciences at the Dana-Farber Cancer Institute and Professor of Biostatistics at Harvard T.H. Chan School of Public Health.


Yugang Jia, Ph.D., MPH

Yugang Jia is a data science lead at Verily Life Science and a part time lecturer in MIT Institute for Medical Engineering & Science.


Bruce Levy, MD

Bruce D. David Levy is the division chief of the Pulmonary and Critical Care Medicine Division and interim chair of the Department of Medicine at Brigham and Women’s Hospital (BWH). He is also the Francis B. Parker Professor of Medicine at Harvard Medical School.


Eric Berger, MBA

Eric Berger is a member of Bain’s Healthcare & Life Sciences and Private Equity practices with more than 15 years of consulting experience.


Saeed Hassanpour, PhD

Saeed Hassanpour is an Associate Professor in the Department of Biomedical Data Science at Geisel School of Medicine at Dartmouth College, with adjunct appointments in the Computer Science and Epidemiology Departments.


Amir Tahmasebi, PhD

Amir Tahmasebi is Director of Data Science within Medication Delivery Solutions Business at Becton Dickinson (BD). He is an accomplished data scientist and innovation leader with a passion for leveraging data-driven insights to solve complex problems in healthcare.


Robin Farmanfarmaian

Robin Farmanfarmaian is a professional speaker and healthcare entrepreneur. She has been involved with over 20 early-stage startups in cutting edge pharma, medical device, and AI enabled software. These include companies focused on vaccines, inhaled insulin, virtual reality for radiology, remote patient monitoring, and small molecule candidates found through AI for drug discovery, including one on the p53 pathway, a critical pathway in oncology.


Rebecca Mishuris, MD, MS, MPH

Rebecca G. Mishuris is the Mass General Brigham Chief Medical Information Office and VP, Digital. She is faculty at Harvard Medical School and a practicing primary care physician at Brigham and Women’s Hospital.

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Call for Abstracts

The 2023 Post-Covid AI Symposium program will include a small number of poster/ignite presentations. The objective of these presentations is to foster and promote research in on long COVID and health AI.


Submitted poster abstracts should fall under the following categories:

  • long COVID
  • AI/ML applications in COVID studies
  • Clinical AI/ML

Review & Evaluation

All submissions will be peer-reviewed and scored by a panel of expert judges prior to the symposium, based on:

  • Relevance to symposium topics
  • Demonstration of evidence-based, innovative and emerging approaches to care
  • Clarity and completeness of submission

Deadline: September 3rd, 2023

Abstract Submission Form

Travel scholarship may be available to top accepted presenting authors.

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Simmons University, Linda k. Paresky Conference Center



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