School of Engineering
Showing 101-150 of 453 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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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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Aoife Henry
Postdoctoral Scholar, Mechanical Engineering
BioAoife Henry earned her doctorate in Electrical, Computer & Energy Engineering at the University of Colorado, Boulder, funded by and in collaboration with the wind energy control systems team at the National Renewable Energy Laboratory (NREL). During her doctorate, she applied her joint specializations of machine learning and control systems to implement and validate forecast-enabled wind energy controllers using state-of-the-art time-series forecasting models. She is now working to commercialize and scale this technology under the wing of the Stanford Sustainability Accelerator Fellowship at the Doerr School of Sustainability.
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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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Yifan Hou
Postdoctoral Scholar, Electrical Engineering
BioI am a Post Doctoral researcher working with Prof. Shuran Song at Stanford Electric Engineering. Prior to joining Stanford, I spent three years as an Applied Scientist at Amazon Robotics working on the Stow project. I obtained my PhD and MS degrees from the Robotics Institute at Carnegie Mellon University, obtained BoE from the department of Automation at Tsinghua University. I had also spent time interning at Toyota Research Institute and MIT.
I work on robotic manipulation. I am currently interested in the intersection of data-driven visual motor policies and model based compliance control. -
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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Fabio Hübel
Graduate Visiting Researcher Student, Aeronautics and Astronautics
BioVisiting Student Research at Marco Pavone's Group (Autonomous Systems Lab).
Master Thesis in autonomous navigation and exploration for quadrupeds. -
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.
