Stanford University
Showing 11-20 of 101 Results
-
Christina Gangemi
Postdoctoral Scholar, Developmental Biology
BioDr Christina Gangemi received her undergraduate degree from Monash University (2016) specialising in molecular biology and biochemistry. She became an Undergraduate Research Opportunities Program Scholar (2016) and completed her Honours thesis (2017) at the Australian Regenerative Medicine Institute (ARMI), Monash University. She later joined Professor Harald Janovjak’s group at ARMI (2018) as a research assistant before completing her doctorate degree (2019-2023) where she studied optical approaches to promote pancreatic beta cell regeneration. Key achievements from this work include establishing an automated image analysis approach to quantify islet proliferation assays, designing a modular light-emitting diode shelving system for ex vivo and in vitro illumination of primary islets, generating a new assay to test cyclin-dependent kinase 6 (CDK6) function (a known beta cell proliferation driver), and exploring the effects of photoswitchable pdDronpa domains when engineered into CDK6. During her candidature, she was awarded a Juvenile Diabetes Research Foundation Australia PhD Top-Up Scholarship. In 2023 she undertook a Postdoctoral Research Associate role in the Janovjak group at Flinders University and has recently joined Professor Seung Kim's group at Stanford University.
-
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/.
-
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.
