Li-Ching Chen

Hong Lab|Reasoning model for oncology

Kaihua (William) Hou

Jivat Neet Kaur

Alaa Lab, SAIL|Foundations of machine learning and algorithmic decision-making for real world healthcare contexts

Zhongyuan Liang

C.H.E.N. lab, Alaa Lab|Multimodal Machine Learning, Interpretability

Hongzhou Luan

Alaa Lab, Hong Lab|Missingness in Healthcare Data

Alexander Schubert

Ziad Obermeyer Lab, Alaa Lab|AI for Cardiology, ECG data, Real World Deployment, Personalized Care

Radhika Bhalerao

BRAIN Lab (Andreas Rauschecker's lab)|Vision language models for brain diseases

Frances Dean

Alaa Lab|Cardio-oncology, Causal Inference

Marianna Elia

Hong Lab, Jean Feng Lab|Clinical Decision Support Models, Implementation & Transportability, Health Equity

Jenna Fields

Alaa Lab|Cancer Treatment Optimization, Clinical Decision Making, Reinforcement Learning

Xinyang Han

Yala Lab|AI for Cancer Prediction

Natalia Harguindeguy

Yala Lab|AI for medical imaging & cancer care, foundation model evaluation

Aaron Liu

Arnaout Lab|Deep Learning Theory, Medical Imaging

Adú Matory

Digital Health Equity, Access Lab (dHEAL)|Inclusive & Safe Digital Mental Health Interventions

Michael Nercessian

Yala Lab|AI for radiology, computer vision for medical imaging

Sami Barrit

Chang Lab|Exploring the frontier of mind and machine intelligence through BCIs—for breakthroughs that heal and empower.

Curtis Chambers

Stanley Hua

C.H.E.N. lab, Jean Feng Lab|trustworthy ML for health, equitable AI

Geetha Jayepragasan

PETAL Lab|Infectious Disease Epidemiology, Global Health, Pandemic Preparedness

Joy Liu

Marcus Moen

Center for Healthcare Marketplace Innovation|AI for understanding medical decision making and AI for low-resource settings.

Toru Shirakawa

Mark van der Laan Lab|Chronic Diseases, Causal Inference, Precision Health, AI/ML

Advaith Veturi

Arnaout Lab|Deep learning methods for medical image analysis, deep learning in echocardiography

Jinchi Wei

BRAIN Lab, Yokoyama Lab|Neuroimaging and genomic analyses for Alzheimer’s Disease

Noah Baker

Multimodal Medical AI Lab|EHR, LLMs, NLP, Clinical Informatics, Epidemiology

Yaen Chen

Capra Lab|Human brain evolution, psychiatric disorders, brain imaging

Sylvia Cheng

epochAI Lab|Causal Inference, Policy Learning and Optimization

Shiron Drusinsky

Muyan Jiang

Anil Aswani Group|Data-driven optimization, Machine Learning for healthcare

Jonas Knecht

Jinhee Lee

Kaylee Lee

Rada Savic Lab|Pharmacometrics, Pediatric Malnutrition, Infectious Diseases, Pharmacokinetic/Pharmacodynamic Modeling

Nikita Mehandru

Alaa Lab|Clinical reasoning, Time Series, Chronic Disease Modeling, NLP for health

Serafina Mei

Capra Lab, Conboy Lab|Genomic Engineering, Precision Medicine

Carrie Chan, RN, MSN

Development, evaluation, and clinical translation of pediatric predictive modeling using real-world data

Paulina Paiz

Noel Pimentel

Sky Qiu

Shruthi Ravichandran

Miki Lustig Lab, SANDLab|Point-of-care diagnostics, Accessible Healthcare, Medical Devices

Adrian Serapio

Madhumita Sushil Lab|Development, Evaluation, and Clinical Translation of LLMs, VLMs, and Multimodal AI Systems for Radiology

Frank Wolf

CODE Lab|Real world data, health equity, causal inference

Yujie Zhang

Christina Theodoris Lab|Single cell multi-omics model development

Ziyuan Zhang

Joseph Lewnard Lab |Infectious disease dynamics, risk perception, and inference under imperfect observation