Colloquia & Research in Progress
Artificial Intelligence at the Department of Veterans Affairs
Speaker: Dr. Kimberly McManus, PhD, MS
Department of Veterans Affairs
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
View Recording
 (002).jpg)
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
View Recording
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
.jpg)
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
Combining Technology and Medicine - Just Not How I Expected
Adjunct Professor, MED/BMIR
Stanford University
Career pathway: From Social Sciences to Medicine and Back Again
Clinical Assistant Professor of Medicine, MED/BMIR
Stanford University
Opportunistic Disease Prediction using Already-Acquired Medical Imaging and Deep Learning
Associate Professor (Research) of Radiology (Integrative Biomedical Imaging Informatics)
Stanford University
Diagnostic Stewardship
Professor of Epidemiology and Infectious Disease
University of Maryland School of Medicine
A Formal Model and Efficient Algorithm for Temporal Pattern Matching in Clinical Decision-Support Queries and Biomedical Data Labeling and Curation
Principal consultant at Sujansky & Associates, LLC, and Adjunct Professor, Department of Medicine (BMIR)
Stanford University
Enabling Next Generation Informatics Tools at the Department of Veterans Affairs
Assistant Professor in the Department of Medicine, Division of Immunology and Rheumatology
Stanford University
Lessons Learned Over a Career in Medical Care and Management Roles, Clinical Informatics, and Health Services Research
Professor of Health Policy and, by courtesy, of Medicine (BMIR)
Stanford University
Delivering Compelling Talks: Why, What, and How?
Assistant Professor of Medicine (BMIR)
Stanford University
Realizing the Promise of Foundation Models in Healthcare
Speakers: Jason Fries (Computer Scientist at Stanford University's Center for Biomedical Informatics Research) and Ethan Steinberg (Ph.D. student in Computer Science at Stanford University)
Climate Health Informatics
Speaker: Chethan Sarabu, MD.
Clinical Assistant Professor of Pediatrics at Stanford Medicine and Director of Clinical Informatics at Sharecare
A Magician-Scientist's Perspective on How to Do Better Science
Speaker: Parag Mallick, PhD
Associate Professor of Radiology
Canary Center at Stanford for Cancer Early Detection
ChatGPT Implications for Medical Education, Knoledge and Practice Panel/Forum Discussion
Panel Speakers: Dr. Preetha Basaviah (SU), Alicia A DiGiammarino (SU), Dr. Jason Hom (SU), Dr. Ron Li (SU), Dr. Eric Strong (SU)
The Pandora’s box of ChatGPT and related AI technology has suddenly been unleashed on the world, leaving many stunned with questions about its potential impact and how to respond to it. The use of ChatGPT by the general public, including students, continues to rise at an unprecedented pace, being used for all imaginable and many unimaginable purposes. When such a freely available tool can pass medical licensing and clinical reasoning exams, we look to our panel of clinical educators to review what's already known to be possible with this technology and to where the future of education and practice will change. Join us as we explore how our academic medical center must be on the leading edge of this changing world.
Adventures In Using Real-world Evidence at the Bed-side
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
Improving the Accuracy & Completeness of Death Data in our EHR
Speaker: Álvaro A. Álvarez
Business System Analyst
Stanford University School of Medicine
View Recording
Cardiovascular Medicine as a Data Science
Speaker: Robert A. Harrington, MD
Arthur L. Bloomfield Professor of Medicine,
Professor of Health Policy (by courtesy) Chair, Department of Medicine
Stanford University School of Medicine
View Recording
Protecting Privacy in Health Research Data Post-Dobbs
Speaker: Cynthia Harper, PhD
Professor of Ob/Gyn, Reproductive Sciences, School of Medicine
University of California, San Francisco, CA
From Clinical Epidemiology to Machine Learning: Meeting of Two Worlds
Speaker: Lillian Sung, PhD
Professor and Senior Scientist at The Hospital for Sick Children
University of Toronto, Ontario, Canada
Targeting Precision Medicine: Evidence from Prenatal Screening
Speaker: Liran Einav, PhD
Professor of Economics
Stanford University
Some Mysteries About Viruses and Cancer
Speaker: Raul Rabadan, Ph.D.
Professor of Biomedical Informatics, Systems Biology
Columbia University, New York City
Research Colloquium
Speaker: Roy Adams, PhD
Associate Professor of Psychiatry and Behavioral Sciences
Johns Hopkins Medicine
Talk Title: "Evaluation of TREWS, a Deployed Early Warning System for Sepsis"
Research Colloquium
Speaker: Shamim Nemati, PhD
Associate Professor of Medicine
University of California at San Diego
Talk Title: “AIVIS: Next Generation Vigilant Information Seeking Artificial Intelligence-based Predictive Models”
Research Colloquium
Speaker: Lola Falasinnu
Assistant Professor of Medicine, Immunology & Rheumatology
Stanford University
Talk Title: "The Problem of Chronic Pain in Rheumatology: Case Definitions and Phenotypes"
Research Colloquium
November 10, 2022 @ 12:00pm-1:00pm
Speaker: David Kao, MD
Medical Director, Colorado Center for Personalized Medicine Associate Professor, Departments of Medicine and Biomedical Informatics University of Colorado School of Medicine
Talk Title: “How to Get to the Point: Informatics Adventures in Personalized Heart Failure Management ”
Research Colloquium
Speaker: Purvesh Khatri, PhD
Associate Professor of Medicine and of Biomedical Data Science, Stanford University
Talk Title: "An Electronics Engineer's Journey to Becoming a Computational Immunologist"
Research Colloquium
Speaker: Rebecca Staiger
Talk Title: "Provider Opioid Prescribing Behaviors and Opioid Use in Medicaid"
Research Colloquium
Speaker: Professor Michael Bernstein, PhD
Associate Professor of Computer Science
Stanford University
Talk Title: "Designing Artificial Intelligence to Navigate Societal Disagreement"
Research Colloquium
October 13, 2022 @ 12:00pm-1:00pm
Speaker: Rebecca Hubbard, PhD
Professor of Biostatistics
University of Pennsylvania
Talk Title: "Leveraging Modern Statistical and Machine Learning Approaches to Address Missingness in Real-World Data"
Research Colloquium
Panel Speakers: Dr. Michelle Mello (SU), Dr. Natalie Pageler (SU), Dr. Erica Cahill (SU), Dr. Ravi Akshay (UCSF), Dr. Simone Arvisais-Anhalt (UCSF), Dr. Benjamin Weia (UCSF)
Talk Title: "Data Privacy amidst Changing Abortion Law – How the Supreme Court’s Ruling Confronts How Clinical Information Systems May be Used For or Against Patients”
Contemporary medical practice is inextricably linked to health information technology. With the widespread adoption of electronic health record systems and digital apps that store and exchange massive amounts of patient data, laws like HIPAA have been in place to protect the privacy of protected health information. However, the recent Supreme Court ruling in Dobbs v Jackson Women’s Health Organization may have upended the status quo. In this session, we will highlight the widespread implications of the Dobbs decision on clinical and biomedical informatics and describe how the information technology we rely on for clinical practice and use in our daily lives could be used against patients and clinicians.
Research Colloquium
Speaker: Barbara Engelhardt, PhD
Professor of Biomedical Data Science
Stanford University
Talk Title: “Safe and personalized reinforcement learning for clinical decision making: How to handle all this biased data?”
Research Colloquium
May 19, 2022 @ 12:00pm-1:00pm
Speaker: Andrew Gentles, PhD
Assistant Professor
BMIR, Stanford University
Talk Title:TBA
Research Colloquium
May 5, 2022 @ 12:00pm-1:00pm
Speaker: Trevor Hastie, PhD
Professor of Statistics and Biomedical Data Science
Stanford University
Talk Title: TBA
Research In Progress
April 7, 2022 @ 12:00pm-1:00pm
Speaker: Sanjana Gupta, PhD
Postdoctoral Scholar
BMIR , Stanford University
Talk Title:TBA
Research Colloquium
March 31, 2022 @ 12:00pm-1:00pm
Speaker: Christian Rose, MD
Clinical Instructor
Stanford Hospitals and Clinics
Talk Title:TBA
Research Colloquium
March 10th, 2022 @ 12:00pm-1:00pm
Speaker: Mintu P. Turakhia, MD, MAS
Professor of Medicine
Director and Co-Founder, Center for Digital Health
Stanford University School of Medicine
Chief of Cardiac Electrophysiology, VA Palo Alto Health Care System Talk Title:Digital Health: Moving from Consumer Diagnostics to Disease Management
Research Colloquium
March 3rd, 2022 @ 12:00pm-1:00pm
Speaker: Denis Bebek Dermandi, PhD
Research Engineer
BMIR, Stanford University
Talk Title:Crosstalk of HIstone Modifications in the Health Human Immune Sytem
Research Colloquium
February 24, 2022 @ 12:00pm-1:00pm
Speaker: John Borghi, PhD
Manager, Research and Instruction
Lane Library
Stanford University
Talk Title: Data Management, Data Sharing, and the New NIH Data Policy?
Research Colloquium
February 17, 2022 @ 12:00pm-1:00pm
Speaker: Lindsay Stevens, MD
Clinical Associate Professor
Lucile Packard Children's Hospital
Talk Title:Clinical Informatics Education & Exposure for BMIR Student& Researchers
Research Colloquium
February 10, 2022 @ 12:00pm-1:00pm
Speaker: Steven Lin, MD
Executive Director , Stanford Healthcare AI Applied Research Team
Talk Title:Executive Director , Stanford Healthcare AI Applied Research Team
Talk Title:Toward a National Research Strategy for Artificial Intelligence and Machine Learning in Primary Care
Research Colloquium
February 3, 2022 @ 12:00pm-1:00pm
Speaker: Ted Habermann, PhD
Chief Techology Officer
Metadata Game Changers LLC
Talk Title: Measuring Metadata
Research Colloquium
January 27, 2022 @ 12:00pm-1:00pm
Speaker: Emma Pierson, PhD
Assistant Professor
Jacobs Technion- Cornell Institute at Cornell Tech
Talk Title: Using Machine Learning to Increase Equality in Healthcare and Public Health
Research Colloquium
January 20, 2022 @ 12:00pm-1:00pm
Speaker: Carol Cain, PhD
Executive Director, Clinical Information Services
Kaiser Permanete Care Management Institute
Talk Title:Clinical Guidance in Everyday Practice: Lessons from an Intergrated Delivery System
Research Colloquium
January 13, 2022 @ 12:00pm-1:00pm
Speaker:Donald Rucker, MD
Cheif Stragedy Office
1upHealth
Former Chief of the Office of the National Coordinator for Health Information Technology
Talk Title: “FHIR, Bulk FHIR, and the 21st Century Cures Act”
Research Colloquium
December 2, 2021 @ 12:00pm-1:00pm
Speaker: Chief Information Officer and Associate Dean for Stanford Health Care and Stanford University School of Medicine
Clinical Professor in Department of Hospital Medicine and Biomedical Research (BMIR)
Stanford Health Care
Talk Title: Q&A Session with Michael A. Pfeffer, MD, Chief Information Officer and Associate Dean for Stanford Health Care and Stanford University School of Medicine
Research Colloquium
November 11, 2021 @ 12:00pm-1:00pm
Speaker:Su-In Lee
Paul G.Allen Professor
Paul G. Allen School of Computer Science& Engineering
Talk Title: Explainable Artificial Intelligence for Biology and Health
Research Colloquium
November 11, 2021 @ 12:00pm-1:00pm
Speaker:Chirag Patel, PhD
Associate Professor of Biomedical Informatics
Harvard Medical School
Talk Title: Estimating the Architecture of Exposome- Phenome Associations for Precision Medicine
Research Colloquium
October 28, 2021 @ 12:00pm-1:00pm
Speaker:A Jay Holmgren , PhD
Assistant Professor
The Center for Clinical Informatics and Improvement Research
UCSF
Talk Title: The Impact of Public Quality Reporting on EHR Clinical Decision Support Improvement
Research Colloquium
October 21, 2021 @ 12:00pm-1:00pm
Speaker:Daniel E. Ho, PhD
Professor of Law
Stanford Institute of Economic Policy Resarch
Stanford University
Talk Title:Data Driven Intelligence for Covid-19 Response: The Santa Clara County- RegLab Partnership
Research Colloquium
October 14, 2021 @ 12:00pm-1:00pm
Speaker:Harold Lehmann, M.D, PhD
Director of Research Training
Professor of Medicine
John Hopkins University School of Medicine
Talk Title: Computable Science: Follow-up on a Stanford PhD Dissertation
View Recording
Research Colloquium
October 7, 2021 @ 12:00pm-1:00pm
Speaker:Alison Callahan, PhD
Research Scientist
BMIR
Stanford University
Talk Title: “Using Aggregate Patient Data at the Bedside via an On-Demand Consultation Service”
Research Colloquium
Speaker: Purvesh Khatri, PhD
Associate Professor of Medicine and of Biomedical Data Science, Stanford University
Talk Title: TBD
View Recording
Pragmatic trials through EMR Infrastructure
Speaker: Edward Qian, MD
Assistant Director, Quality and Education of the Medical ICU Vanderbilt University Medical Center
Pragmatic Trials Through EMR Infrastructure
Speaker: Edward Qian, MD
Assistant Director | Quality and Education of the Medical ICU
Vanderbilt University Medical Center
Research using biomedical informatics helps translate breakthrough discoveries into effective new treatments—and this is why it is important to BMIR to host our colloquia series reflecting the very latest research in progress now.
—Jonathan Chen, Director of BMIR Colloquia program