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.
Doctoral Students
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.
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.
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.
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.
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.
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
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
Brandi Campbell
Alumni
PhD Students
Alan Luo, 2017-2023
Albert Haque, 2015-2020
Serena Yeung, 2013-2018
Graduate Students
Pratyush Agarwal, 2022-2023
Jensen Hwa, 2022-2023
Zhuoyi Huang, 2021-2023
Ruochen (Chloe) Liu, 2021-2023
Eva Prakash, 2022-2023
Jenny J. Yang, 2023
Han Bai, 2023
Rob Harries, 2021-2023
Tina Li, 2021-2023
Edwin Pan, 2021-2023
Ruta Suhas Joshi, 2021-2022
Zijing "Christie" Di, 2021-2022
Bingxian Chen, 2021-2022
Ketan Agrawal, 2021-2022
Mandy Lu, 2020-2021
JQ Zhang, 2020-2021
Akash Chaurasia, 2020-2021
Louis Blankemeier, 2020-2021
Michael John Cooper, 2020-2021
Isa Liang, 2020-2021
Sid Kapoor, 2020-2021
Michelle Guo, 2017-2020
Haoye Cai, 2019-2020
Bingbin Liu, 2017-2019
Edward Chou, 2017-2019
Emanuel Cortes, 2017-2019
Jun-Ting Hsieh, 2017-2019
Rishab Mehra, 2017-2019
Samira Daswani, 2018-2019
Josh Beal, 2017-2018
Sanyam Mehra, 2017-2018
Gabriel Bianconi, 2017
Emma Boya Peng, 2015-2017
Alisha Rege, 2016-2017
Undergraduate Students
Allen Chau, 2022-2023
Chris Kim, 2022-2023
Roshan Swaroop, 2022-2023
Linden Sky Li, 2021-2023
Pranav Sriram, 2023
Matthew Thomas, 2022
Elaine Sui, 2021-2022
Eunice Yang, 2021-2022
Sidney Hough, 2021-2022
Ayush Singla, 2021-2022
Daniel Wu, 2021-2022
Chris Waites, 2021-2022
Kevin Liu, 2021-2022
Stephen Su, 2021-2021
High School Students
Amy Jin, 2016-2018
Lily Li, 2017-2018