Stanford University
Showing 9,501-9,550 of 34,465 Results
-
Alex Gao
Assistant Professor of Biochemistry and of Microbiology and Immunology
Current Research and Scholarly InterestsWe integrate computational genome mining with high-throughput experimental approaches and structural biology to harness the rich diversity of genes from microbes, with the goal of developing new antibiotic strategies and molecular biotechnology. A major area of current interest is uncovering novel molecular functions involved in anti-phage defense and bacteria–phage interactions, which are a major driver of molecular innovation in nature.
-
Andrew Kean Gao
Masters Student in Computer Science, admitted Autumn 2023
BioImmersed in the AI space since 2019, Andrew is excited by the potential of AI/ML in all domains of industry, academia, and life. He has built several popular projects in AI, such as Lightspeed Multithreading and BibleGPT. His team won a Grand Prize at Stanford TreeHacks 2023 out of nearly 2,000 competitors. Beyond AI, Andrew has conducted research in molecular biology, disease diagnosis, drug design, and computational immunology.
Software developer and student at Stanford University specializing in artificial intelligence and large language models.
Personal websites:
https://andrew.md/
https://andrewgao.dev/ -
Chongkai Gao
Graduate Visiting Researcher Student, Computer Science
BioChongkai is a PhD student from the National University of Singapore, and a visiting student researcher at Stanford University in Prof. Fei-Fei Li's group. His research is about building hierarchical foundation models and structured evaluation of general-purpose robot manipulation. Homepage: https://chongkaigao.com/.
-
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. -
Jun Gao
Graduate, Environmental Social Sciences
BioI am a PhD student in Public Policy (Economics Track) at Harvard, and am visiting Stanford in the fall. My research focuses on energy and environmental topics, applying tools from industrial organisation, trade, and spatial economics. My current work studies the power system in Europe, with a particular focus on the coordination of cross-border transmission infrastructure and the role of the grid in transmitting shocks across regions. Prior to Harvard, I completed my undergraduate studies in Environmental Policy and Management at Tsinghua University and earned an MPhil in Economics from the University of Oxford. I also gained experience working with the Asian Infrastructure Investment Bank and the World Resources Institute on energy- and environmental-related issues.
Outside of work, I love dancing and occasionally perform contemporary dance, classical Chinese dance, and Chinese ethnic dance. I also enjoy visiting museums and exploring bakeries. -
Mars Liyao Gao
Postdoctoral Scholar, Statistics
BioMars Liyao Gao is a 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.
-
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.
-
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.
