Institute for Computational and Mathematical Engineering (ICME)
Showing 51-79 of 79 Results
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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
BioI'm a PhD student in the Institute for Computational and Mathematical Engineering (ICME) at Stanford University, mentored by Prof. Mignot. My research is at the intersection of artificial intelligence and sleep medicine, focusing on developing predictive models for circadian rhythms and sleep debt from proteomics data. I adopt a problem-oriented approach, selecting methods based on the data and research questions at hand. My techniques range from linear regression to sophisticated deep learning frameworks, aiming to extract maximal insights from the data. I also explore the use of unsupervised and semi-supervised learning, and am interested in the applications of multimodal and foundation models in biology.
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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/
