Institute for Computational and Mathematical Engineering (ICME)
Showing 1-77 of 77 Results
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Izabel Pirimai Aguiar
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2018
Digital Transformation Course Grader, Stanford Center for Professional DevelopmentBioHello! I’m a fifth year PhD candidate at ICME where I’m lucky to be advised by Johan Ugander, and grateful to be a Knight-Hennessy Scholar and NSF Graduate Research Fellow. I received my BS in Applied Mathematics and Statistics from the Colorado School of Mines in May 2017 and my MS in Computer Science from the University of Colorado, Boulder in August 2018. After receiving my MS I was a visiting researcher in the Stanford Autonomous Systems Lab, a Safeway cake decorator, and the owner and baker of Bell’s Bakery.
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Haoxuan Chen
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2022
BioPersonal website: https://haoxuanstevec00.github.io/
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Isabella Crouch
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2023
Current Research and Scholarly InterestsComputational materials science, material informatics, scientific computing
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Jikai Jin
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2023
BioI am currently a Ph.D. student of the The Institute for Computational and Mathematical Engineering (ICME) at Stanford university. Prior to joining Stanford, I obtained my bachelor degree in computational mathematics at the School of Mathematical Sciences, Peking University, fortunately having Prof. Liwei Wang as my research advisor. My research is highly interdisciplinary across machine learning, statistics, operations research. While primarily focusing on theoretical aspects, the ultimate goal of my research is to develop state-of-the-art solutions for important real-world problems.
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Riley Juenemann
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2021
BioSecond-year Computational and Mathematical Engineering (ICME) PhD Student @ Stanford University passionate about research at the intersection of mathematics, computing, and biology.
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Tetiana Parshakova
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2019
BioI am a Ph.D. candidate in Computational Mathematics at Stanford, working with Prof. Stephen Boyd.
My primary research objective is to develop efficient algorithms for computational problems using techniques from optimization, discrete mathematics, and statistics. In particular, my research interests include large-scale and distributed convex optimization, network science, learning and inference for network data, numerical and randomized linear algebra, low rank and structured optimization, and machine learning.
Prior to my Ph.D., I received a Bachelor’s in Industrial Design and a Master’s in Electrical Engineering at KAIST.
I am Ukrainian. -
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. -
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
Ph.D. Student in Computational and Mathematical Engineering, admitted Spring 2024
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.
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Zhenzhen Weng
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2020
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2018BioI am a final year Ph.D student in Computational and Mathematical Engineering (ICME) at Stanford University where I am advised by Prof. Serena Yeung.
I am broadly interested in 3D computer vision and machine learning. Specifically, my current research interests are human-centric 3D perception.
Prior to my Ph.D, I received B.S. in Computer Science and B.S. in Mathematics from Carnegie Mellon University. I also previously worked for a fund manager on the East Coast.
My website: https://zzweng.github.io/
