Stanford University
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Renesmee Kuo
Ph.D. Student in Electrical Engineering, admitted Autumn 2022
BioRenesmee Kuo is an Electrical Engineering PhD candidate at Stanford University supported by NSF GRFP and Stanford Lieberman fellowship. Her research interests lie at the intersection of engineering and medicine. She focuses on validation of preclinical PET imaging tracers and their translation into the clinic for applications in neuroinflammatory diseases (e.g., MS, AD) and cancer (e.g., brain metastasis) in Prof. Michelle James' lab. She graduated from UC Berkeley with a BS in Bioengineering. At Berkeley, she worked in Prof. Steve Conolly's lab on Magnetic Particle Imaging (MPI), focusing on tracking CAR-T cells in immunotherapy using high-resolution MPI tracers. She also explored commercially-available high-resolution MPI tracers for early diagnosis of pulmonary embolisms and cardiovascular disease in preclinical settings.
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Hanna Lachnitt
Ph.D. Student in Computer Science, admitted Autumn 2020
BioI am a fourth year PhD student advised by Clark Barrett and part of the CENTAUR lab at Stanford University. My research interests lie in automated reasoning and formal verification. I am currently working on proofs for SMT solvers.
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Ching-Yao Lai
Assistant Professor of Geophysics
BioMy group attacks fundamental questions in fluid dynamics and geophysics by integrating mathematical and machine-learned models with observational data. We use our findings to address challenges facing the world, such as advancing our scientific knowledge of ice dynamics under climate change. The length scale of the systems we are interested in varies broadly from a few microns to thousands of kilometers, because the governing physical principles are often universal across a range of length and time scales. We use mathematical models, simulations, and machine learning to study the complex interactions between fluids and elasticity and their interfacial dynamics, such as multiphase flows, flows in deformable structures, and cracks. We extend our findings to tackle emerging topics in climate science and geophysics, such as understand the missing physics that governs the flow of ice sheets in a warming climate. We welcome collaborations across disciplinary lines, from geophysics, engineering, physics, applied math to computer science, since we believe combining expertise and methodologies across fields is crucial for new discoveries.
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Jiewen Lai
Visiting Assistant Professor, Mechanical Engineering
BioJiewen (Sam) Lai is a Visiting Assistant Professor in the Department of Mechanical Engineering and the Center for Design Research at Stanford University, where he works with the Biomimetics and Dexterous Manipulation Lab. He is also a Research Assistant Professor in the Department of Electronic Engineering at The Chinese University of Hong Kong (CUHK). He earned his PhD in Mechanical Engineering from The Hong Kong Polytechnic University in 2022 and completed his postdoctoral training at CUHK in 2023.
Sam works on soft and bioinspired robotic systems, focusing on compliant mechanisms, modeling, mechatronics, sensorimotor control, and robophysical intelligence for biomedical applications. His work has been published in various venues, including Nature Rev. Electr. Eng., Nature Commun., IJRR, T-MECH, RA-L, and ICRA, among others. He has served as an Associate Editor for ICRA since 2023.