Institute for Computational and Mathematical Engineering (ICME)
Showing 151-167 of 167 Results
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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 2018BioJen Weng is a PhD student in Computational and Mathematical Engineering with experience in designing and developing deep learning and computer vision algorithms. She previously worked at VMware as a Machine Learning Engineer, and AQR Capital Management Llc as a research engineer. Her current research interests are deep learning, computer vision and AI-assisted healthcare.
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Wing Hung Wong
Stephen R. Pierce Family Goldman Sachs Professor in Science and Human Health and Professor of Biomedical Data Science
Current Research and Scholarly InterestsCurrent interest centers on the application of statistics to biology and medicine. We are particularly interested in questions concerning gene regulation, genome interpretation and their applications to precision medicine.
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Yuyun Yang
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2018
Current Research and Scholarly InterestsFluid transport in faults and how that impacts dynamic earthquake rupture
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Yinyu Ye
Kwoh-Ting Li Professor in the School of Engineering and Professor, by courtesy, of Electrical Engineering
BioYinyu Ye is currently the Kwoh-Ting Li Professor in the School of Engineering at the Department of Management Science and Engineering and Institute of Computational and Mathematical Engineering and the Director of the MS&E Industrial Affiliates Program, Stanford University. He received the B.S. degree in System Engineering from the Huazhong University of Science and Technology, China, and the M.S. and Ph.D. degrees in Engineering-Economic Systems and Operations Research from Stanford University. Ye's research interests lie in the areas of optimization, complexity theory, algorithm design and analysis, and applications of mathematical programming, operations research and system engineering. He is also interested in developing optimization software for various real-world applications. Current research topics include Liner Programming Algorithms, Markov Decision Processes, Computational Game/Market Equilibrium, Metric Distance Geometry, Dynamic Resource Allocation, and Stochastic and Robust Decision Making, etc. He is an INFORMS (The Institute for Operations Research and The Management Science) Fellow, and has received several research awards including the winner of the 2014 SIAG/Optimization Prize awarded every three years to the author(s) of the most outstanding paper, the inaugural 2012 ISMP Tseng Lectureship Prize for outstanding contribution to continuous optimization, the 2009 John von Neumann Theory Prize for fundamental sustained contributions to theory in Operations Research and the Management Sciences, the inaugural 2006 Farkas prize on Optimization, and the 2009 IBM Faculty Award. He has supervised numerous doctoral students at Stanford who received received the 2015 and 2013 Second Prize of INFORMS Nicholson Student Paper Competition, the 2013 INFORMS Computing Society Prize, the 2008 Nicholson Prize, and the 2006 and 2010 INFORMS Optimization Prizes for Young Researchers. Ye teaches courses on Optimization, Network and Integer Programming, Semidefinite Programming, etc. He has written extensively on Interior-Point Methods, Approximation Algorithms, Conic Optimization, and their applications; and served as a consultant or technical board member to a variety of industries, including MOSEK.
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Honglin Yuan
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2017
Masters Student in Computational and Mathematical Engineering, admitted Summer 2018BioI am a second-year Ph.D. Candidate at ICME. Before coming to Stanford, I graduated from Peking University with B.S. degrees in Computational Mathematics and Computer Science. My current research interests lie in optimization and machine learning theory.
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Xiaoye Yuan
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2019
BioIncoming Investment Process Associate Intern @ Arrowstreet Capital
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Ruohan Zhan
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2017
Masters Student in Statistics, admitted Spring 2020BioHi, I'm a second year PhD student in Computational and Mathematical Engineering, Stanford University.
I'm mainly interested in theories and application of learning on data-related problems. Luckily, I have great research experiences with many marvelous researchers on data analysis, financial modeling and mathematical imaging. I'm also excited about discovering new interesting fields! -
Junzi Zhang
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2015
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2020BioI'm a fifth-year Ph.D. student in Institute for Computational & Mathematical Engineering (ICME) at Stanford, advised by Prof. Stephen P. Boyd from Stanford Department of Electrical Engineering. Before coming to Stanford, I obtained a B.S. degree in applied mathematics from School of Mathematical Sciences, Peking University, where I conducted my undergraduate research under the supervision of Prof. Zaiwen Wen and Prof. Pingwen Zhang. My current research is partly supported by Stanford Graduate Fellowship.
