People

Artificial Intelligence Lab

Stanford Engineering | Computer Science

Faculty

Fei-Fei Li, PhD

Co-Director, Partnership in AI-Assisted Care
Co-Director, Stanford Human-Centered AI Institute
Professor of Computer Science

Dr. Fei-Fei Li is currently the Co-Director of the Human-Centered AI Institute, a Stanford University Institute to advance AI research, education, policy and practice to benefit humanity, by bringing together interdisciplinary scholarship across the university.

Ehsan Adeli, PhD.

Scientist, Stanford AI Lab, Stanford Vision and Learning, Computer Science Department, Clinical Assistant Professor, Department of Psychiatry and Behavioral Sciences, Stanford School of Medicine

Doctoral Students

Zane Durante

Doctoral Student, Computer Science - _{Joined 2021}

Zane is a PhD student in Computer Science and is currently rotating with Prof. Fei-Fei Li. His research interests include self-supervised learning, multimodal signal processing, and AI for healthcare. Admitted Autumn 2021.

Mark Endo

Doctoral Student, Computer Science - _{Joined June 2023}

Mark Endo is a PhD student in Computer Science and is currently rotating with Prof. Fei-Fei Li. His research interests include computer vision, self-supervised learning, and AI for healthcare.

Mahdi Honarmand

Doctoral Student, Mechanical Engineering - _{Joined January 2024}

Mahdi is a Ph.D. candidate in Mechanical Engineering and Computer Science, advised by Professors Fei-Fei Li, Scott Delp, and Dennis Wall. He serves as a Graduate Research Assistant at the Stanford School of Medicine and the Stanford Partnership in AI-assisted Care (PAC). Additionally, Mahdi is a Human-Centered Artificial Intelligence (HAI) Graduate Fellow and a Stanford Data Science Ph.D. Scholar. His research focuses on the applications of AI in healthcare, and he is driven by a goal to leverage his diverse interdisciplinary experiences and networks gained through various Stanford programs, departments, and schools, to make a meaningful impact on healthcare during his Ph.D. journey and beyond.

Wasan Mani Kumar

Doctoral Student, Medicine - _{Joined October 2022}

Wasan is a medical student working towards improving patient safety and public health through applications of machine intelligence and health policy research.

Neha Srivathsa

Doctoral Student, Computer Science - _{Joined 2021}

Neha Srivathsa is a 2023, first-year PhD student in Computer Science and is currently rotating with Prof. Fei-Fei Li. Her research interests are in machine learning for clinical medicine.

Tiange Xiang

Doctoral Student, Computer Science - _{Joined September 2022}

Tiange is a PhD student in Computer Science and is currently rotating with Prof. Fei-Fei Li. His research interests include 3D vision, deep learning, and AI for healthcare.

Graduate Students

Hee Jung Choi

Graduate Student, Computer Science - _{Joined April 2024}

Hee Jung is concurrently enrolled as a coterminal master's student in Computer Science and an undergraduate student in Mathematical and Computational Science. His research focuses on the intersection of healthcare and data science, with the goal of developing innovative computational tools to improve healthcare delivery and patient outcomes.

David Dai

Graduate Student, Computer Science - _{Joined January 2023}

David is a Master's student at Stanford University. His research interests broadly spans from machine learning in healthcare to graph mining, with an emphasis on interpretable machine learning, graph neural networks and multi-modality learning.

Yucheng Jiang

Graduate Student, Computer Science - _{Joined September 2023}

Yucheng is a master's student majoring in computer science, his research interests lay in NLP, computer vision, and their applications in health care.

Ishita Mangla

Graduate Student, Computer Science - _{Joined April 2023}

Ishita is a Computer Science master's student at Stanford and she is interested in the intersection of healthcare and machine learning.

Jenny Xu

Graduate Student, Computer Science - _{Joined September 2023}

Jenny is a Master’s student in Computer Science. She is interested in using AI and interdisciplinary approaches to improve medical diagnosis, and the accessibility and efficiency of the healthcare system.”

Undergraduate Students

Willy Chan

Undergraduate Student, Computer Science - _{Joined September 2024}

Willy is an undergraduate student majoring in Computer Science, with a focus on Systems and AI. He has a passion for high-performance computing and building software, especially in improving healthcare outcomes. Currently, his interests lie in computer vision, graphics, and highly parallel machine learning systems. Outside of academics, Willy enjoys learning new languages and running cross-country.

Richard Gu

Undergraduate Student, Computer Science - _{Joined April 2023}

Richard is interested in Mathematics and Computer Science, specifically in the field of Computer Vision. His prior research focuses on algorithm designs and data analysis. He has organized several education programs to engage local community in computer science, namely Python.

Ray Hotate

Undergraduate Student, Computer Science - _{Joined April 2024}

Ray majors in Computer Science with AI concentration as well as Mathematics. His interest lies in Computer Vision and Healthcare, and has won TreeHacks, the largest collegiate hackathon in the U.S., with AI + Healthcare software for VR. He aims to leverage computer vision to enhance the accuracy and clarity of medical procedures.

Sherine Ismail

Undergraduate Student, Computer Science - _{Joined February 2024}

Sherine is an undergraduate student studying Computer Science with an emphasis in Artificial Intelligence. She is passionate about the intersection of AI and healthcare and understanding how technology can make a difference in everyday lives. In her free time, she enjoys drinking coffee, baking, and exercising.

Shreyas Kar

Undergraduate Student, Computer Science - _{Joined September 2022}

Shreyas intends on using artificial intelligence and machine learning to better the world. Shreyas is the founder of Community AI that helps high and middle school students to unleash the power of AI for social good. He also worked on several independent research projects to help the community and the environment using artificial intelligence. For his work, he has received several national and international awards and recognition. Earlier he worked for the PORTAL group at Harvard Medical School as a member of Research Science Institute (RSI). His research there focussed on quantifying the impact of EHR-Discontinuity on prediction modeling algorithms.

Ashna Khetan

Undergraduate Student, Computer Science - _{Joined January 2024}

Ashna is a junior-coterm studying CS AI. She's into building cool stuff and using data (safely) to make decisions better + faster than humans can. Currently, she is very interested in extracting semantic information from videos, leading her to join the team at PAC!

Aryan Siddiqui

Undergraduate Student, Computer Science - _{Joined April 2023}

Aryan loves building technology that can make a real impact on people's lives. He founded a R&D startup that leveraged computer vision to address challenges related to COVID-19. Now, with PAC, Aryan intends to harness the power of vision language models to advance AI research in healthcare.

Adam Sun

Undergraduate Student, Computer Science - _{Joined September 2022}

Adam is a member of PAC. He is mainly interested in using computer vision and deep learning for ethical human-centered applications.

Katherine Xu

Undergraduate Student, Computer Science - _{Joined October 2024}

Katherine is an undergraduate student studying Symbolic Systems with an emphasis in Artificial Intelligence and she intends on coterming in Computer Science. She is deeply interested in how AI and healthcare converge, focusing on how technology can improve people's lives. Outside of work, she enjoys the outdoors, trying new cuisines and cafes, and crafting niche playlists.

Clinical Excellence Research Center

Stanford Medicine

Faculty

Arnold Milstein

Co-Director Partnership in AI-Assisted Care, Director Clinical Excellence Research Center

Dr. Milstein is a Professor of Medicine at Stanford and directs the University’s Clinical Excellence Research Center. The Center engages faculty from Health, Computer, and Social Sciences in the discovery and replication of innovative health care delivery methods that safely lower per capita health care spending for excellent care.

Kevin Schulman

Clinical PI (PAC), Director of Industry Partnership and Education (CERC), Director Master of Science in Clinical Informatics Management (MCiM)

Dr. Schulman was appointed as Professor of Medicine, Associate Chair of Business Development and Strategy in the Department of Medicine, Director of Industry Partnerships and Education for the Clinical Excellence Research Center (CERC) at the Stanford University School of Medicine, and, by courtesy, Professor of Economics at Stanford’s Graduate School of Business in June, 2018. He is the Founding Faculty Director of the Master of Science in Clinical Informatics Management (MCiM) Program in the Stanford School of Medicine.

Amit Kaushal

Amit Kaushal, MD, PhD is a Clinical Assistant Professor of Medicine (Stanford-VA) and Adjunct Professor of Bioengineering at Stanford University. Dr. Kaushal's work spans clinical medicine, teaching, research, and industry.

Paul Tang

Dr. Paul Tang is Adjunct Professor at the Clinical Excellence Research Center at Stanford University and a practicing internist at the Palo Alto Medical Foundation. Most recently, he was Vice President, Chief Health Transformation

Officer at IBM Watson Health, responsible for applying artificial intelligence technologies to improve the health and wellbeing of individuals and communities.

Jason Bae

Dr. Jason Bae is the medical director of Prealize Health, which uses machine learning to power proactive health care, and an internal medicine physician at Palo Alto Medical Foundation. His work has focused on design and implementation of novel care delivery models.

Swati DiDonato, MD. MBA

Dr. DiDonato is a Clinical Assistant Professor in the Stanford School of Medicine. She is the co-lead of Stanford's Value Based Care Academy, serves as Stanford's MD/MBA career advisor, and has worked with a variety of companies focused on bringing the latest technology to healthcare.

Vittavat (Tor) Termglinchan

Dr. Vittavat (Tor) Termglinchan is an Instructor at the Clinical Excellence Research Center at Stanford University. He is very passionate about elderly care and health innovations to better the care of older adults and to reduce caregiver burden. He will utilize his expertise to conduct translational research on using computer vision technology to continuously detect seniors’ behaviors and provide the corresponding descriptive analytics.

Staff

Shrinidhi Lakshmikanth

PAC Data Engineer

Interested in Machine Learning / Deep Learning. Working on cloud infrastructure for data collection.

Tracy Terada

Research Operations Manager

Tracy is a 15+ year administrative veteran for the Stanford School of Medicine. She started at the Lane Medical Library and is currently with the Clinical Excellence Research Center.

Clinical Partners & Healthcare Professionals

Andrea Jonas

Dr. Andrea Jonas is a Clinical Assistant Professor in the Division of Pulmonary, Allergy, and Critical Care Medicine at Stanford University.

William Beninati MD

Critical Care Physician, Intermountain Healthcare Medical Director, Telecritical Care

Bill is a critical care physician with a longstanding commitment to critical care patient

Haya Rubin

Dr. Haya Rubin, MD is a Internal Medicine Specialist in Palo Alto, CA and has over 39 years of experience in the medical field. She graduated from Case Western Reserve University School of Medicine medical school in 1982.

Vincent Liu

Vincent Liu, MD, MS, is a research scientist at the Kaiser Permanente Northern California Division of Research. His work focuses on the intersection of sepsis, acute severe illness, informatics, and health care delivery with a goal of building towards a learning hospital system.