Meet the Team

Our team consists of post-docs, students, research scientists, and clinical collaborators. For information about how to join us, see our FAQ section.

Professor

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David Sontag

Professor of EECS

My research focuses on advancing machine learning and artificial intelligence, and using these to transform health care.

Postdoctoral Researchers

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Ming-Chieh Shih

Postdoctoral Fellow

Ming-Chieh’s research interest include causal inference in longitudinal data, and also treatment assignment and treatmet effect heterogeneity in healthcare data.

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Mercy Asiedu

Postdoctoral Fellow

Mercy’s research interest include developing natural language processing models to interpret clinic visit notes, using generative adversarial networks to enhance medical ultrasound imaging and machine learning models for clinical risk assessment. She is particularly interested in using these tools to bridge disparities in healthcare.

Graduate Researchers

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Irene Chen

PhD Student

Irene works on machine learning methods for equitable healthcare. Her research focuses on two main areas, 1) developing machine learning methods for equitable clinical care, and 2) auditing and addressing algorithmic bias.

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Michael Oberst

PhD Student

Michael’s research interests include developing learning algorithms for dealing with non-stationarity / dataset shift in predictive modelling, as well as robust learning of treatment policies from observational data.

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Monica Agrawal

PhD Student

Monica’s research interests include reasoning over longitudinal clinical notes, building more intelligent electronic health records, studying user-ML interactions in clinical settings, and developing algorithms that can incorporate domain knowledge.

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Zeshan Hussain

MD/PhD Student

Zeshan’s research interests include modelling time-series data, particularly clinical data, deep generative models, as well as chronic disease progression modelling.

Rebecca’s research interests include developing methods to learn disease progression models and discover new biological insights for precision medicine applications. She works on machine learning algorithms that can utilize clinical and genomic data for this purpose, with a particular focus on single cell RNA-sequencing data and cancer.

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Christina X Ji

PhD Student

Christina is interested in characterizing variation in how patients are treated, evaluating the effect of treatment policies, and handling dataset shift in predictive modeling.

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Chandler Squires

PhD Student

Chandler’s research interests include causal structure learning, active learning and experimental design, and combining causal inference with modern machine learning techniques. His application interests include robustness and explainability of machine learning for healthcare, and the use of AI for scientific discovery.

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Hussein Mozannar

PhD Student

Hussein’s interests focus on human-centric aspects of machine learning, namely how to integrate expert decision makers into machine learning pipelines while ensuring fairness and an understanding of long-term consequences.

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Hunter Lang

PhD Student

Hunter’s research focuses on understanding and improving the performance of machine learning algorithms in the wild, with particular applications in MAP inference for graphical models, stochastic optimization, and weak supervision.

Master’s Students

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Yuria Utsumi

Master’s student

Yuria’s research focuses on building models with local interpretability so that practitioners can understand why a model assigns a patient a particular risk status.

Undergraduate Researchers

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Daniel Ajayi

Undergraduate Researcher

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Jimin Lee

Undergraduate Researcher

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Katie Liu

Undergraduate Researcher

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Kyle Liu

Undergraduate Researcher

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Niklas Mannhardt

Undergraduate Researcher

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Penny Brant

Undergraduate Researcher

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Sharon Jiang

Master’s student

Sharon’s research interests include clinical natural language processing, machine learning augmented electronic health records, and deployment of AI to enhance clinical decision making.

Research Engineers

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Alejandro Buendia

Research Engineer

Alejandro’s interests include modeling over longitudinal health data and understanding human disease through representation learning on single-cell genomic and transcriptomic data. He is especially interested in leveraging techniques from natural language processing in these areas.

Visiting Students

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Stefan Hegselmann

Visiting Student

Stefan’s research interests include interpretable machine learning and natural language processing applications in the healthcare setting.

Alumni

Lab roles and post-lab positions are respectively shown.

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Chloe O'Connell

Clinical Collaborator

Resident, Massachusetts General Hospital

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Sanjat Kanjilal

Clinical Fellow

Lecturer, Harvard Pilgrim Health Care Institute

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Anastasia Podosinnikova

Postdoc

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Fredrik Johansson

Postdoc

Assistant Professor, Chalmers University of Technology

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Uri Shalit

Postdoc

Assistant Professor, Technion

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Narges Razavian

Postdoc

Assistant Professor, NYU School of Medicine

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Rahul Krishnan

PhD Student

Assistant Professor, University of Toronto

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Yacine Jernite

PhD student

Research Scientist, Hugging Face

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Yoni Halpern

PhD student

Google Research

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Nathan Silberman

PhD student

Butterfly Network

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Rachel Hodos

PhD student

Benevolent AI

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Ahmed Alaa

Postdoctoral Associate

Assistant Professor, UC Berkeley and UCSF

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Divya Gopinath

Master’s student

Truera

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Justin Lim

Master’s student

Citadel

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Nikolaj Thams

Visiting Student

PhD Student, University of Copenhagen

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Rohan Kodialam

Master’s student

Citadel

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Helen Zhou

Master’s student

PhD student, CMU

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Sooraj Boominathan

Master’s student

Two Sigma

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Yoon Kim

Master’s student

Assistant Professor, MIT

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Arjun Khandelwal

Master’s student

Private Investment Firm

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Isaac Lage

Research engineer

PhD Student, Harvard

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Maya Rotmensch

Master’s student

Facebook

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Jake Marcus

Research engineer

Google Brain

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Cafer Yildirim

Master’s student

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Eliot Brenner

Master’s student

Research Scientist, Goldman Sachs

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Aahlad Puli

Master’s student

PhD student, NYU

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Ankit Vani

Master’s student

PhD student, MILA

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Chill Yi-I Chiu

Master’s student

Google

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Jingshu Liu

Master’s student

Medidata Solutions

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Justin Mao Jones

Master’s student

Apple

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Matt Alkaitis

MD/PhD Student

Internal Medicine Resident, Stanford University

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Sol Rodriguez

Undergraduate Researcher

Jason Zhao

Undergraduate Researcher

Ariel Levy

Undergrad

Yitao Li

Undergrad

Facebook

Aarti Bagul

Undergrad

Master’s student, Stanford

Aayush Gupta

Undergrad Student

Alok Puranik

Undergrad

Claire Yin

Undergrad

David Amirault

Undergrad

Dmitriy Afanasyev

Undergrad

LinkedIn

Do Kook Choe

Undergrad

PhD student, Brown

Elizabeth Han

Undergrad

Loc Trinh

Undergrad

Rares Buhai

Undergrad

Shannon Hwang

Undergrad

Shreyas Balaji

Undergrad

Suchan Vivatsethachai

Undergrad