Stanford University
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Grace Gao
Associate Professor of Aeronautics and Astronautics and, by courtesy, of Electrical Engineering
BioGrace Gao is an associate professor in the Department of Aeronautics and Astronautics at Stanford University, with a courtesy appointment in the Electrical Engineering Department. She leads the Navigation and Autonomous Vehicles Laboratory (NAV Lab) and serves as co-director of the Stanford AI Safety Center and co-lead of the Stanford SystemX Robotics area. Her research focuses on robust and secure perception, localization, and navigation, with applications in crewed and uncrewed aerial vehicles, autonomous cars, humanoid robots, and space robotics.
Prof. Gao has won numerous awards, including the NSF CAREER Award, the Institute of Navigation Early Achievement Award, the RTCA William E. Jackson Award, and the Inspiring Early Academic Career Award from Stanford University. In addition to her research achievements, she has received significant recognition for her teaching and advising, including the AIAA Stanford Chapter Excellence in Advising Award and the Excellence in Teaching Award. -
Jiechao Gao
Postdoctoral Scholar, Civil and Environmental Engineering
BioJiechao Gao is a Postdoctoral Research Associate at Stanford University's Center for Sustainable Development and Global Competitiveness. He received his Ph.D. in Computer Science from the University of Virginia, his M.S. in Electrical Engineering from Columbia University, and dual B.S. degrees in Applied Physics and Financial Engineering from Jilin University. Prior to joining Stanford, he served as an Associate Research Scientist at Columbia University.
His research spans federated learning, large language model (LLM) interpretability and efficiency, reinforcement learning, and privacy-preserving AI, with applications in healthcare, smart buildings, IoV, and finance. He has published extensively at top venues including ICLR, NeurIPS, ICML, AAAI, EMNLP, KDD, CVPR, ACL, etc. He serves as Area Chair or Senior Program Committee member for conferences such as ICLR, NeurIPS, ICML, AAAI, EMNLP, KDD, IJCAI, IJCNN, ICASSP, and reviews for journals such as JMLR, IEEE IoT-J, and IEEE TITS. His recognitions include the Google HE Faculty AI Fellowship (2026), Stanford/Elsevier Global Top 2% Scientists (2024 & 2025), and multiple Best Paper Nominations. -
Mars Liyao Gao
Affiliate, Statistics
BioMars Liyao Gao is an incoming postdoctoral scholar at Stanford University. Prior to Stanford, he finished his Ph.D. in Computer Science at the Paul G. Allen School of Computer Science & Engineering.
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Xiaojing Gao
Assistant Professor of Chemical Engineering
Current Research and Scholarly InterestsHow do we design biological systems as “smart medicine” that sense patients’ states, process the information, and respond accordingly? To realize this vision, we will tackle fundamental challenges across different levels of complexity, such as (1) protein components that minimize their crosstalk with human cells and immunogenicity, (2) biomolecular circuits that function robustly in different cells and are easy to deliver, (3) multicellular consortia that communicate through scalable channels, and (4) therapeutic modules that interface with physiological inputs/outputs. Our engineering targets include biomolecules, molecular circuits, viruses, and cells, and our approach combines quantitative experimental analysis with computational simulation. The molecular tools we build will be applied to diverse fields such as neurobiology and cancer therapy.
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Yifan Gao
Postdoctoral Scholar, Microbiology and Immunology
BioDr. Yifan Gao is a postdoctoral researcher at Stanford University School of Medicine in the Department of Microbiology and Immunology under Prof. Justin Sonnenburg's advisement. Prior to joining Stanford, she received her Ph.D. from UCLA focusing on Environmental Microbiology and M.S. from UC Berkeley in Environmental Engineering.
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Adrené Garabedian
Engagement Programs Manager, Emergency Medicine
Current Role at StanfordEmergency Medicine Strategy Manager
Faculty & Staff Engagement Program Manager & Co-Lead -
Lorenza Garau Paganella
Postdoctoral Scholar, Mechanical Engineering
BioLorenza was born in Italy in 1997 and is currently a postdoctoral fellow at Stanford University with Prof. Chaudhuri, supported by an SNSF fellowship. Her research focuses on engineering biomaterials to investigate cell–extracellular matrix interactions and mechanotransduction in 2D and 3D cell cultures, aiming to advance biomedical understanding of tissue remodeling and disease.
Lorenza obtained her PhD (2024) in Mechanical and Process Engineering from ETH Zurich, where she developed hydrogel scaffolds and protocols for protein isolation to study cell behavior in engineered microenvironments.
Before her PhD, Lorenza completed her MSc at ETH Zurich and BSc at University of Trieste in Process Engineering, graduating both cum laude. During this time her focus was on biomaterials for drug delivery which she complemented with an internship in Roche. She has worked in interdisciplinary teams combining engineering and biology and is motivated by research that bridges fundamental science with clinical impact. -
Zainab Garba-Sani
Affiliate, Health Policy
BioZainab Garba-Sani is a Stanford-affiliated Research Scholar and UK Commonwealth Fund Senior Harkness Fellow (2022–23), working at the intersection of health policy, science, and community-centred practice. Her work focuses on how emerging fields such as artificial intelligence, genomics, and regenerative medicine can be translated responsibly into real-world health impact - particularly for underserved populations and people living with chronic and rare conditions.
Her research and practice are grounded in bridging cutting-edge science and innovation with lived experience - focusing on inclusive design, governance, and real-world implementation. She is the founder of ACCESS AI, an initiative advancing equitable and inclusive approaches to health AI through diverse community engagement, meaningful co-production, and interdisciplinary collaboration. Through this work, she contributes to broader conversations on AI governance, data equity, and the societal implications of innovation.
Alongside this, Garba-Sani collaborates internationally with academic institutions, healthcare systems, civil society, industry, and governments to strengthen innovation pathways and care models for sickle cell and other historically neglected populations, including in low-and middle- income countries. She holds senior advisory and leadership roles across health and research ecosystems and is an advisor to multiple committees focused on gene and cell therapies, regenerative medicine, health equity, and rare diseases. She is Vice Chair of the Sickle Cell Society and was recently the Founding Chair of NHS England’s Sickle Cell Transformation Patient Advisory Group and Co-Chair of Genomics England’s Diverse Data Advisory Board.
Garba-Sani holds an MSc in Health Policy from Imperial College London and brings extensive experience in healthcare leadership, having previously served in senior roles at NHS England, TEDxNHS, and the NHS Muslim Network. Her contributions have been recognised with numerous awards, including the UK Prime Minister’s Points of Light Award. -
Alan M. Garber
Henry J. Kaiser Jr. Professor and Professor of Medicine, Emeritus
Current Research and Scholarly InterestsTopics in the health economics of aging; health, insurance; optimal screening intervals; cost-effectiveness of, coronary surgery in the elderly; health care financing and delivery, in the United States and Japan; coronary heart disease
