School of Engineering
Showing 1-20 of 24 Results
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Punnag Padhy
Postdoctoral Scholar, Materials Science and Engineering
Current Research and Scholarly InterestsCurrently, I am working on an on-chip platform to simultaneously trap and manipulate micron scale beads and droplets with an intention to implement chemical reactions on a chip at ultrasmall volumes.
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Feng Pan
Postdoctoral Scholar, Materials Science and Engineering
BioFeng Pan is a postdoctoral scholar with Prof. Jennifer A. Dionne in the Department of Materials Science and Engineering at Stanford. He received his Ph.D. in Physical Chemistry at the University of Wisconsin Madison, advised by Prof. Randall H. Goldsmith, and M.S. in Physical Chemistry at Texas A&M University, advised by Prof. Simon W. North, and B.S. in Chemistry at Jilin University (China). His research expertise spans several aspects, including plasmonics, nanophotonics, and single-particle microresonator microscopy and spectroscopy, planar laser-induced fluorescence for molecular tagging velocimetry and thermometry in gaseous flows.
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Aakash Patil
Postdoctoral Scholar, Mechanical Engineering
BioDr. Aakash Patil is a postdoctoral researcher at Stanford University working on deep Learning-assisted predictive modeling for high-dimensional spatio-temporal problems, particularly for turbulence in fluids. At the Center for Turbulence Research he works with Prof. Beverley McKeon as a part of a grant funded by the US Office of Naval Research. His Ph.D. in Computational Mathematics from Mines ParisTech - Paris Sciences et Lettres University led to the development of innovative deep learning methods for nonlinear dynamical systems and the creation of high-performance CPU-GPU frameworks for deep learning-assisted simulations. He was a co-founder of GreenPanda in 2014, a webtech startup catering SMBs, and exited in 2019 after 5 years of successful inclusion of SMBs in India's digital ecosystem.
His expertise includes building deep learning foundation models for high-dimensional spatio-temporal problems, scientific computing, machine learning operations, and quantitative analysis for complex scientific and engineering challenges. Interested in consultations or collaborations? Connect on LinkedIn at https://linkedin.com/in/aakash-patil -
Vishal Patil
Postdoctoral Scholar, Bioengineering
BioVishal Patil is currently a Stanford Science Fellow at Stanford University. Incorporating ideas from mathematics to biology, his work aims to understand how topology and geometry can be used to organize and control soft matter systems. His current research at Stanford concerns adaptive, heterogeneous metamaterials, with a focus on understanding their capacity to exhibit self-learning behavior.
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Tara Peña
Postdoctoral Scholar, Electrical Engineering
BioTara Peña is a postdoctoral scholar at Stanford University, where she is working with Prof. Eric Pop and is supported by the NSF MPS-Ascend postdoctoral fellowship. Peña received her Ph.D. (2023) in Electrical and Computer Engineering (ECE) from the University of Rochester, where she won the university-wide Provost’s Fellowship then the nationwide NSF GRFP award. Before obtaining her doctorate, she earned a M.S. degree in ECE from the University of Rochester (2019) and a B.S. degree in Physics from Adelphi University (2017). Peña’s research interests include strain engineering nanomaterials to uncover advanced device structures.
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Anton Persson
Postdoctoral Scholar, Electrical Engineering
BioAnton Persson is a postdoctoral researcher in the Electrical Engineering Department at Stanford University, supervised by Professor Eric Pop. Prior to joining Stanford, he received his PhD in Electrical Engineering from Lund University, Sweden, in 2023 and his M.Sc. in Engineering Physics from Chalmers University of Technology, Sweden, in 2018. At Stanford, he researches emerging memristor technologies for in-memory computing applications, including phase change materials and ferroelectrics integrated onto 2D-materials.