School of Engineering
Showing 101-150 of 456 Results
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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/.
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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. -
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. -
Zherui Han
Postdoctoral Scholar, Electrical Engineering
BioZherui Han received his Ph.D. (2024) in Mechanical Engineering from Purdue University, and B.S. (2019) in Energy and Power Engineering from Huazhong University of Science and Technology in China. He is a recipient of Purdue's Ross Fellowship and Bilsland Dissertation Fellowship. He is now a postdoc at Stanford developing theory for thermal and electronic transport in 2D systems and devices. His prior works include first-principles modeling of phonon dynamics.
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Zhili He
Graduate Visiting Researcher Student, Civil & Envir Engr
BioZhili He is a Visiting PhD Student in the Department of Civil and Environmental Engineering at Stanford University, working with Prof. Hae Young Noh. He is currently pursuing his PhD at The Hong Kong University of Science and Technology under the supervision of Prof. Yu-Hsing Wang.
His research lies at the intersection of robotics, computer vision, and artificial intelligence for the built environment. His current work focuses on autonomous quadruped robot systems, SLAM, 3D building digitalization, BIM, large language models, and AI-driven structural inspection.
He has published research in leading journals including Information Fusion and Automation in Construction. His long-term goal is to develop intelligent robotic systems that enable autonomous inspection, digitalization, and maintenance of civil infrastructure. -
Anh Tuan Hoang
Postdoctoral Scholar, Materials Science and Engineering
BioAnh Tuan Hoang is a postdoctoral scholar at Stanford University, where he is working with Prof. Eric Pop and Prof. Andrew Mannix. Hoang received his Ph.D. (2022) in Electrical and Electronic Engineering from Yonsei University and his M.S. (2016) in Bionano Engineering from Hanyang University, supported by the BK21+ Fellowship. Before that, he earned his B.S. degree (2014) in Chemical Engineering from Hanoi University of Science and Technology. Hoang's research interests span various fields, including colorimetric sensors, chemical analysis, displays, flexible and wearable devices, crystallography, and semiconductor physics. During his time at Stanford, he focused primarily on the wafer-scale synthesis and characterization of 2D semiconductors.
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Bernd Hofmann
Postdoctoral Scholar, Electrical Engineering
BioBernd Hofmann received the B.Eng. degree in electrical engineering from the Augsburg University of Applied Sciences, Augsburg, Germany, in 2015, and the M.Sc. and Dr.-Ing. degrees in electrical engineering from the Technical University of Munich (TUM), Munich, Germany, in 2017 and 2024, respectively.
From Jan. 2025 to Feb. 2026, he was a postdoctoral scholar at the University of Southern California, CA. Since Mar. 2026 he is a postdoctoral scholar with the Stanford University. His current research interests include computational electromagnetics, in particular, high-order accurate integral equation methods, and antenna near-field measurement techniques. -
Xuandi Hou
Postdoctoral Scholar, Materials Science and Engineering
BioXuandi Hou's research focuses on integrating nanotools and physical stimuli to gain insights into neural circuits and achieve precise remote manipulation of neural activity. His ultimate aspiration is to develop comprehensive toolkits that facilitate the exploration of the biophysical mechanisms underlying non-invasive transcranial ultrasound brain stimulation, offering applications in both neuroscience and neurology.
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Pei Huang (黄 沛)
Postdoctoral Scholar, Computer Science
Current Research and Scholarly InterestsAutomated Reasoning, Trustworthy AI, Neural Symbolic Methods, Constraint Solving
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Alissa Hummer
Postdoctoral Scholar, Bioengineering
BioAlissa is a Schmidt Science Fellow in the labs of Emma Lundberg and Wah Chiu. She is integrating microscopy techniques with AI to study and model cellular processes. Prior to her postdoc, Alissa completed her PhD at the University of Oxford, where she developed machine learning models for therapeutic antibody optimization and design.
