School of Engineering
Showing 1-100 of 253 Results
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Teland La
Masters Student in Computer Science, admitted Autumn 2021
BioThanks for stopping by :)
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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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Anand Vikas Lalwani
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
BioAnand is a Graduate Student researcher in XLab (advisor: Debbie Senesky).
Anand's research work includes developing and deploying sensors for environmental and energy industries. Sensors developed include techniques for Hall Effect sensors to measure AC magnetic fields, deployable and low cost ammonia sensor for rivers and lakes, CO2 sensors for down-hole applications.
Anand's interests outside of research include startups and solving problems. Anand is committed to developing technologies that tackle pressing issues and translating work form lab into a startup. -
Trang Le
Ph.D. Student in Bioengineering, admitted Spring 2022
BioMy PhD mainly focuses on modelling and analyzing spatial patterns of proteins in fluorescent images from a single cell perspective. Furthermore, I build web-based tools for annotation and interactive model training on biomedical images.
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Yuan-Mau Lee
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2023
BioYuan-Mau (Leo) Lee is a Ph.D. student in the Department of Materials Science and Engineering at Stanford University, advised by Prof. Eric Pop. He received his B.S. in Materials Science and Engineering from National Tsing-Hua University in 2022. His research focuses on 2D semiconductors, advanced circuit technology, and their applications.
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Axel Levy
Ph.D. Student in Electrical Engineering, admitted Autumn 2020
BioAxel is a PhD candidate in Electrical Engineering at Stanford University. He is jointly supervised by Pr. Mike Dunne (LCLS, SLAC) and Pr. Gordon Wetzstein. His research focuses on solving inverse problems that arise in scientific imaging, that is to say getting as much information as possible about hidden physical quantities from noisy or sparsely sampled measurements.
