ML4H Organizers

Our team of organizers is excited to work together to make this symposium possible.

Primary Organizers

Irene Chen

MIT, PhD Student
General Chair

Shalmali Joshi

Harvard University, Postdoc
General Chair

Luis Oala

Fraunhofer Henrich Hertz Institute, PhD Student
Program Chair

Adarsh Subbaswamy

Johns Hopkins University, PhD Student
Program Chair

Monica Agrawal

MIT, PhD Student
Workflow Chair

Shengpu Tang

University of Michigan, PhD Student
Workflow Chair

Ahmed Alaa

MIT/Harvard, Postdoc
Finance Chair

Harvineet Singh

NYU, PhD Student
Finance Chair

Antonio Parziale

University of Salerno, Postdoc
Publications Chair

Stefan Hegselmann

University of Münster, PhD Student
Social Chair

Helen Zhou

Carnegie Mellon University, PhD Student
Social Chair

Haoran Zhang

MIT, PhD Student
Virtualization Chair

Taylor Killian

University of Toronto, PhD Student
Virtualization Chair

Fahad Kamran

University of Michigan, PhD Student
Communications Chair

Subcommittee Members

Elena Sizikova

New York University, Faculty Fellow
Social Subchair

Girmaw Abebe Tadesse

IBM, Research Scientist
Social Subchair

Mars Huang

Stanford, PhD Candidate
Website Lead + Social Subchair

Sayantan Kumar

Washington University in St. Louis, PhD Student
Speaker Coordinator Subchair

Elora Schorverth

Fraunhofer Heinrich Hertz Institute, Student Researcher
Program Virtualization Subchair

Governing Board

The ML4H 2022 Symposium is hosted by the Association for Health Learning and Inference (AHLI), a not-for-profit organization dedicated to building an transdisciplinary machine learning and health community. AHLI works with its partners to advance health data quality and access, knowledge discovery, and meaningful use of complex health data. To learn more about the organization, visit www.ahli.cc.

Contact the Organizing Committee by emailing ml4h.2022@gmail.com