April 13 Apr 13
08:00 AM - 09:00 PM
Saturday Sat

Alumni Day 2024

Medicine + Machines

On behalf of the Stanford Medicine Alumni Association, we would like to welcome you back to the Stanford Medicine campus for a day of celebration with our vibrant alumni community of medical and bioscience graduates. Reconnect with former classmates, meet new colleagues, and enjoy inspiring faculty presentations as we explore this year’s theme—Medicine and Machines.

For centuries, physicians and scientists have relied on tools to heal the sick and injured. From the first crude scalpel to advanced robotics, human health is optimized when people and machines work together. Hear from leaders in bioinnovation, artificial intelligence, and medical technology about the latest discoveries and tools transforming medicine today and in the future.

This year’s MD reunion includes alumni from the classes of 1954, 1959, 1964, 1969, 1974, 1979, 1984, 1989, 1994, 1999, 2004, 2009, 2014, and 2019, in addition to PhD and other School of Medicine degreed alumni, residents, postdocs, and fellows. 

Daytime Activities - Li Ka Shing Center for Learning & Knowledge
8:30 AM

Welcome Remarks

Deval Lashkari, PhD ’96

President, Stanford Medical Alumni Association

Dr. Lashkari has worked in the life sciences area developing and commercializing novel technologies.  During his time as a graduate student, Dr. Lashkari worked at the Stanford Genome Technology Center on new technologies used in the human genome project.  He was also President of BioMASS and was involved with summer research programs for minority undergraduate students.  After completing his PhD in Genetics, he became a founding research director for a genomics tools company.  He gained corporate and business development experience through senior management positions in a number of life science businesses.  Dr. Lashkari is a co-founder and Senior Partner at Telegraph Hill Partners, a San Francisco based life sciences and healthcare venture capital firm and works closely with innovative healthcare companies.

Keynote Speaker
8:45 - 9:45 AM

CURTIS LANGLOTZ ’81, MS ’83, MD ’89, PhD ’89

Professor, Departments of Radiology, Medicine, and Biomedical Data Science Director, Center for Artificial Intelligence in Medicine and Imaging (AIMI) Associate Director, Institute for Human-Centered Artificial Intelligence (HAI) Stanford University

Dr. Langlotz is Professor of Radiology, Medicine, and Biomedical Data Science at Stanford University. His laboratory investigates the use of deep neural networks and other machine learning technologies to detect disease and eliminate diagnostic errors through analysis of medical images and clinical notes. He also serves as Associate Director of Stanford’s Institute for Human-Centered Artificial Intelligence and as Director of the Center for Artificial Intelligence in Medicine and Imaging (AIMI Center), which supports over 150 Stanford faculty conducting interdisciplinary artificial intelligence research that optimizes how clinical data are used to promote health. As Associate Chair for Information Systems and a Medical Informatics Director for Stanford Health Care, Dr. Langlotz is responsible for the computer technology that supports the Stanford Radiology practice, including 8 million imaging studies that occupy nearly a petabyte of storage. 

He has published over 150 scholarly articles and is author of the book “The Radiology Report: A Guide to Thoughtful Communication for Radiologists and Other Medical Professionals”. He has led many national and international efforts to improve the quality of radiology communication, including the RadLex™ terminology standard, the RadLex™ Playbook of radiology exam codes, the RSNA report template library, and a technical standard for communication of radiology templates. 

Raised in St. Paul, Minnesota, Dr. Langlotz received his undergraduate degree in Human Biology, Master’s in Computer Science, MD in Medicine, and PhD in Medical Information Science, all from Stanford University. He is a founder and past president of the Radiology Alliance for Health Services Research (RAHSR) and has served as president of the Society for Imaging Informatics in Medicine (SIIM), and the College of SIIM Fellows. He is a former board member of the Association of University Radiologists (AUR), the American Medical Informatics Association (AMIA) and the Society for Medical Decision Making (SMDM). He currently chairs the Board of Directors of the Radiological Society of North America (RSNA).

Dr. Langlotz is a recipient of the Lee B. Lusted Research Prize from the Society of Medical Decision Making and the Career Achievement Award from the Radiology Alliance for Health Services Research. He and his trainees have received numerous scientific awards, including seven best paper awards and five research career development grants. He has founded several healthcare information technology companies, including Montage Healthcare Solutions, which was acquired by Nuance Communications in 2016.

10:00 AM - 12:00 PM


Director, Surgical Informatics Lab, Harvard Medical School and Beth Israel Deaconess Medical Center

Dr. Brat is a trauma surgeon at Beth Israel Deaconess Medical Center and an assistant professor of surgery and bioinformatics at Harvard Medical School. He also directs the Surgical Informatics Lab, where he conducts broad research on informatics tools to improve surgical outcomes. As the co-founder of a machine learning and computer vision company, he teaches health IT innovation courses at the medical school and mentors several digital health startups. He earned a master’s in public health and biostatistics from the London School of Hygiene & Tropical Medicine before completing medical training at Stanford and a surgical residency at Johns Hopkins University.


Associate Professor of Mechanical Engineering

Dr. Collins is an expert in the design of exoskeletons and prosthetic limbs. He received his BS from Cornell University and his PhD from the University of Michigan. Prior to joining Stanford, he was a research fellow at TU Delft and a professor of mechanical engineering and robotics at Carnegie Mellon University. He now directs the Stanford Biomechatronics Laboratory, where his team develops customized exoskeletons and prostheses for people following stroke and amputation, including devices with the largest improvements in speed and energy economy to date. His honors include the student-voted Professor of the Year Award at Carnegie Mellon and membership on the editorial board of Science Robotics.


Professor of Medicine–Biomedical Informatics, of Biomedical Data Science, and of Surgery, and Associate Dean of Research

With a rich background in biomedical data, health services research, and epidemiology, Dr. Hernandez-Boussard aims to effectively monitor, measure, and predict equitable health care outcomes. Additionally, she places significant emphasis on addressing bias and promoting fairness in the emerging area of AI for health care. Through her research and evaluation of AI technology, she seeks to advance health care practices while ensuring that diverse populations receive equitable resources, care, and outcomes. She received an MS in health services research from Stanford University and a PhD in computational biology from Université Claude Bernard Lyon 1.


Clinical Professor of Dermatology

Dr. Ko serves as medical director and chief of medical dermatology at Stanford Health Care. His passion for melanoma treatment, early cancer detection, and the improvement of care delivery drives his efforts to leverage advances in machine learning and artificial intelligence to increase the breadth of populations that can be reached. He conducts research on interventions that layer advances in machine learning with digital health to enhance access and quality of dermatologic care and is a founder and leader of the Stanford Translational AI in Dermatology (TRAIND) group. He earned a BA from Harvard University and worked in investment banking before receiving combined medical and business degrees from Tufts University.


Assistant Professor of Bioengineering

Dr. Skylar-Scott is a member of the Basic Science and Engineering Research Initiative at the Betty Irene Moore Children’s Heart Center and a Chan Zuckerberg Biohub investigator. His lab focuses on scaling up 3D bioprinting technologies, with applications in cardiac tissue engineering to cure congenital heart defects. His approaches emphasize scaling stem cell production and differentiation and tissue vascularization and maturation to bring tissue engineering from the petri dish to kilograms of viable and functional organs. He received the NIH Director’s New Innovator Award and an ARPA-H Award to develop new 3D printing hardware, wetware, and software to accelerate cardiovascular tissue engineering. He earned a master’s from Cambridge and a PhD from MIT.


Lecturer, Department of Art & Art History and of Surgery

Lauren Toomer obtained a master’s in fine arts at Stanford University, where she also completed coursework in anatomy, performing dissections alongside first-year medical students. While still a student, she created a course called Anatomy for Artists, which she has been teaching ever since. She holds lecturing appointments in the Department of Art & Art History and of Surgery. Toomer is committed to advancing medical humanities and studio art, providing leadership through the Stanford School of Medicine Art Committee and as faculty director for the Visual Arts for Medical Humanities and Art program (Medicine & the Muse). She is currently involved in the Portrait Project, a medical study using traditional and AI-generated art software to aid in patient recovery.


Assistant Professor of Biomedical Data Science

Dr. Yeung’s research focus is on developing AI and machine learning algorithms to enable new capabilities in biomedicine and health care. She has extensive expertise in deep learning and computer vision and has developed computer vision algorithms for analyzing diverse types of visual data and behavior. She leads the Medical AI and ComputeR Vision Lab and is affiliated with the Stanford Artificial Intelligence Laboratory, the Center for Artificial Intelligence in Medicine & Imaging, and the Clinical Excellence Research Center. Dr. Yeung is a Chan Zuckerberg Biohub San Francisco investigator and previously served on the NIH Advisory Committee to the Director Working Group on Artificial Intelligence. She received her PhD from Stanford University.

12:00 pm - 12:45 pm

Student Spotlight
12:45 PM - 1:15 PM

RISE Award Presentation
1:15 PM - 1:45 PM


Professor of Medicine–Stanford Prevention Research Center and Professor of Obstetrics and Gynecology, and, by courtesy, of Epidemiology and Population Health

The RISE (Reach, Inspire, Serve, Engage) Award will be presented to Marcia Stefanick, PhD ’82, in recognition of her exceptional dedication to nurturing Stanford Medicine and its alumni community through acts of leadership, volunteerism, mentoring, and teaching. A leading pioneer in women’s health research, Dr. Stefanick is the founding director of the Stanford Women’s Health and Sex Diversity in Medicine (WHSDM) Center, which promotes research and education in women’s health, sex and gender in human physiology and disease, and queer health and medicine. She co-leads the Stanford Cancer Institute’s Population Sciences Program and is a principal investigator for the Women’s Health Initiative (WHI) Extension Study, the WHI Strong and Healthy Study, and the Osteoporotic Fractures in Men Study. Dr. Stefanick’s research also includes the role of sex hormones and lifestyle on health, menopause, and healthy aging. She completed her BA in biology at the University of Pennsylvania, her PhD in physiology at Stanford University, and her postdoctoral training in cardiovascular disease prevention at the Stanford Prevention Research Center.

Afternoon Tours
2:00 PM

Afternoon Tours - Join us for tours of the Stanford Hospital, the Anderson Collection at the Cantor Arts Center, or the Hoover Institution Observation Tower and exhibit.

More details coming soon.

Evening Activities

Reunion Reception
6:00 PM - 7:00

Alumni Dinner
7:00 PM - 9:00 PM