Colloquia Archive
2023 - 2024
Making New Discoveries Through Open Science Requires Cleaning Up Our Metadata Mess
Speaker: Mark Musen, MD, PhD
Division Chief of Biomedical Informatics Research, Professor of Medicine (Biomedical Informatics) & Biomedical Data Science
Stanford University
Generalist Medical AI: Towards Grounding and Reasoning
Speaker: Michael Moor, MD, PhD
Postdoctoral Scholar
Department of Computer Science
Stanford University
AI Generated Draft Responses to Patient Inbox Messages: Perspectives from 3 Real-World Deployments
Speakers: Patricia Garcia, MD
Associate Chief Medical Information Officer, Ambulatory Care & Clinical Associate Professor of Gastroenterology and Hepatology
Stanford University
Danielle Perret Karimi, MD
Associate Chief Medical Information Officer, Ambulatory & Vice Chair, Physical Medicine and Rehabilitation
University of California, Irvine
Ming Tai-Seale, PhD, MPH
Professor of Family Medicine and Public Health & Vice Chair of the Department of Family Medicine
University of California, San Diego
Bridging the Radiology-Pathology Gap via Multimodal AI for Better Cancer Diagnosis and Treatment Planning
Speaker: Mirabela Rusu, PhD
Assistant Professor of Radiology, Urology and Biomedical Data Science
Stanford University
Learning from Patient Data to Advance Engineered T-cell Immunotherapy Designs
Speaker: Zina Good, PhD
Instructor, Cancer Immunotherapy at Stanford University, Stanford Cancer Institute & Department of Biomedical Data Science
Multi-omics, Multi-modal, Multi-scale Data Fusion for Precision Medicine
Speaker: Olivier Gevaert, PhD
Associate Professor of Medicine (Biomedical Informatics) and of Biomedical Data Science
Stanford University
Generative AI for Healthcare
Speaker: Roxana Daneshjou, MD, PhD
Assistant Professor of Biomedical Data Science and of Dermatology
Stanford University
Artificial Intelligence at the Department of Veterans Affairs
Speaker: Kimberly McManus, PhD, MS
Department of Veterans Affai
Evaluating Clinical Applications of AI at Stanford Hospital
Speakers: Rob Gallo, M.D. (left), Postdoctoral Research Fellow, Stanford Department of Health Policy
April Liang, M.D. (right), Fellow, Stanford Clinical Informatics Fellowship Program
Pragmatic Trials Through EMR Infrastructure
Speaker: Edward Qian, MD
Assistant Director | Quality and Education of the Medical ICU
Vanderbilt University Medical Center
AI-Driven Remote Monitoring for Type 1 Diabetes
Speaker: Emily Fox, PhD
Professor, Departments of Statistics and Computer Science
Stanford University
Charting a Path Towards an Equitable AI Ecosystem: Organizational and Data Readiness
Speakers: Madelena Ng, DrPH (left), Postdoctoral Scholar, Stanford Center for Biomedical Informatic Research
Alaa Youssef, PhD (right), Postdoctoral Scholar, Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI)
I'd Like to Speak With Your Supervisor: A Story of Labels for AI Systems in Critical Care
Speaker: Gary Weissman, MD, MHSP
Assistant Professor of Medicine and Informatics at UPenn, Pulmonary and Critical Care Physician at Perelman School of Medicine; Core Faculty at the Palliative and Advanced Illness Research (PAIR) Center
Elephant in the Immune System: Identifying Common Immune Dysregulation Across Risk Factors For Severe Outcome
Speaker: Purvesh Khatri, PhD
Associate Professor (Research) of Medicine (Biomedical Informatics – Research Institute for Immunity, Transplantation and Infection) and of Biomedical Data Science, Stanford University
Landing Your Next (or First!) Big Research Grant: Insights and Successful Strategies from the SOM Office of Faculty Development and Diversity R01 Countdown Program
Speaker: Michaela Kiernan PhD
Senior Research Scholar, Stanford Prevention Research Center Director, OFDD R01 Countdown Program
Legal issues in AI: Intellectual Property and Generative AI Litigation
Speaker: Zach Harned, J.D., M.S.
Attorney, Fenwick & West
Associate Fellow, Stanford’s Center of Artificial Intelligence in Medicine & Imaging (AIMI)
Expert-Informed, User-Centric Explanations of Medical Image Classification
Speaker: Michael Pazzani, PhD
Director, AI4Health Center, USC
Fellow of the Association for the Advancement of Artificial Intelligence
University of Southern California
Finding Your Tribe/Community
Speaker: Nigam H. Shah, MBBS, PhD
Professor of Medicine, and of Biomedical Data Science
Chief Data Scientist, Stanford Healthcare Associate Dean for Research, School of Medicine
Associate Director, Stanford Center for Biomedical Informatics Research
Stanford University
Cardiovascular Risk Scores - The Key Tool in Preventive Cardiology
Professor of Medical Statistics at the University of New South Wales and Chair of Statistics, Epidemiology and Women’s Health at Imperial College London
Software Engineering for Science: Maximizing Research Impact and Reliability
Professor, Department of Biomedical Data Science
Stanford University
Understanding Liability Risk from Healthcare AI Tools
Professor of Law and Professor of Health Policy
Stanford University
A Conversation About the New Direction of the Stanford Center for Digital Health (CDH)
November 30, 2023 @ 12:00pm-1:00pm
Speaker: Eleni Linos MD, MPH, DrPH
Professor of Dermatology and Epidemiology; Director of Center for Digital Health,
Stanford University
Neonatal Medicine and Machine Learning: Big Opportunities for Small Patients
November 16, 2023 @ 12:00pm-1:00pm
Speaker: Andrew Beam, PhD
Assistant Professor, Department of Epidemiology at the Harvard T.H. Chan School of Public Health and Department of Biomedical Informatics
Harvard Medical School
Augmenting Engagement with Health Data and Algorithms for Type 1 Diabetes Management
Assistant Professor of Medicine – Biomedical Informatics Research
Stanford University
White Coat, Black Box - Navigating Pitfalls in Using AI to Augment Diagnostic Decision Making
Associate Professor of Computer Science and Engineering (CSE), Associate Director of the Artificial Intelligence Lab, and Co-Director of Precision Health
University of Michigan, Ann Arbor
Medicine, the Mind, and the Machine: The Ouroboros of Clinical Reasoning and Artificial Intelligence
General Internist and Instructor, Beth Israel Deaconess Medical Center
Harvard Medical School
Leveraging Structure for Intelligent Representation Learning in Health and Biomedicine
Postdoctoral Fellow, Department of Biomedical Informatics
Harvard University
Addressing the Crisis in Academic Publishing
Adjunct Professor, Medicine / Primary Care and Population Health
Stanford University
Towards Developing Machines that Understand Multi-modal Medical Records
Assistant Professor at Kim Jaechul Graduate School of Artificial Intelligence
Korea Advanced Institute of Science and Technology (KAIST)
Timing, Causes, and Consequences of Child Growth Faltering: A Team Science Study Using Double Robust Models with Ensemble Machine Learning
Assistant Professor, Department of Epidemiology & Population Health
Stanford University
How LLMs Might Help Scale Up World-Class Healthcare to Everyone
Research Scientist at Google
Detecting Topics in Conversations With African American Participants to the All of Us Research Program
Assistant Professor at Morehouse School of Medicine (MSM); Associate Director in the Clinical Research Center and co-director of the Center for Digital Health