School of Engineering
Showing 61-80 of 97 Results
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Tetiana Parshakova
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2019
BioI am interested in developing novel learning algorithms using techniques from optimization and statistics along with theoretical guarantees for these methods.
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Adrienne Propp
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2021
BioI am a second year PhD student in ICME (the Institute for Computational and Mathematical Engineering). Prior to Stanford, I was working as a technical analyst at the RAND Corporation where I spent most of my time designing microsimulations and other models to investigate topics in healthcare, education, disaster relief, and international relations.
My research interests fall broadly into the intersection of data and modeling. Past research projects have ranged from computational models of the heart to inverse modeling to predict satellite performance. At Stanford, I am exploring topics including uncertainty quantification, adaptive sampling, graph-informed neural networks, and geophysical modeling. -
Nadim Saad
Ph.D. Student in Computational and Mathematical Engineering, admitted Spring 2020
BioHi ! My name is Nadim Saad and I'm a fifth year PhD candidate in Computational and Mathematical Engineering advised by Professor Margot Gerritsen. My interests lie broadly in Numerical PDEs. I'm currently working on PDE based traffic flow models.
I'm originally from Lebanon and speak English, French and Arabic fluently and proficient in Spanish. In my free time, I enjoy running and singing ! -
Rahul Sarkar
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2017
Current Research and Scholarly InterestsInverse problems, machine learning for seismic imaging, quantum computing
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Adrien Specht
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2022
BioAdrien Specht is a master’s student at both ENS Paris-Saclay and Stanford University. He majored in electrical, computational, and mathematical engineering with the ambition to advance Sleep Sciences. In France, he was one of the sleep pioneers working with the start-up Dreem on a new deep learning strategy to conduct EEG spectral analysis. Now in California, he is assisting Dr. Mignot with data-oriented research such as studying sleep depth and circadian rhythm with machine learning and proteomics. To him, the best moment of the day is after lunch with a coffee, a nice sunbath, and enjoyable sleep talks with colleagues.
