School of Engineering
Showing 3,101-3,120 of 7,009 Results
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Phillip Kyriakakis
Sr Res Scientist-Basic Life
BioPhillip Kyriakakis, Ph.D. is a Senior Research Scientist in the Bioengineering Department at Stanford University in the Wu Tsai Institute for Neuroscience. Dr. Kyriakakis did his undergraduate work in Biochemistry at UMass Boston, where he also worked in Dr. Alexey Veraksa's developmental biology lab and started to develop PhyB optogenetics in animal cells (2008). Dr. Kyriakakis continued his education at UC San Diego in the Division of Biological Sciences. There, he studied cellular programming and metabolism to obtain his degree with a specialization in Multiscale Biology. Dr. Kyriakakis did his postdoctoral work in the Bioengineering Department at UC San Diego with Todd Coleman, continuing the development of optogenetic tools and related technologies. In 2021 Dr. Kyriakakis moved to his Senior Research Scientist role at Stanford University in the Bioengineering Department at the Wu Tsai Institute for Neurosciences.
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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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Ching-Yao Lai
Assistant Professor of Geophysics
BioMy group attacks fundamental questions in ice-dynamics, geophysics, and fluid dynamics 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.
