Institute for Computational and Mathematical Engineering (ICME)
Showing 120 of 110 Results

Jing An
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI am a PhD student in the Institute for Computational and Mathematical Engineering. I obtained my B.S. degree in Mathematics of Computation from the University of California, Los Angeles. My research interests include partial differential equations, numerical analysis and their applications in biology, physics.

David Barmherzig
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2013
BioI am a fourthyear Ph.D. candidate in the Institute for Computational and Mathematical Engineering advised by Professor Emmanuel J. Candès. My research interests include mathematical signal processing, optimization, and computational imaging and geometry.

Poorvi Bhargava
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI am currently a student at Stanford University, studying Computational and Mathematical Engineering. Prior to joining Stanford, I studied Biomedical Engineering at the University of Texas at Austin. I hope to combine my interests in data science and design to solve impactful, humancentered, and social problems. My hobbies include art & design and traveling.

Shruti Bhargava
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
Current Research and Scholarly InterestsData Science, Information Retrieval, Machine Learning and Data Mining

Reza Bosagh Zadeh
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioReza Bosagh Zadeh is an Adjunct Professor at Stanford University and Founder CEO at Matroid. His work focuses on Machine Learning, Distributed Computing, and Discrete Applied Mathematics. Reza received his PhD in Computational Mathematics from Stanford University under the supervision of Gunnar Carlsson. His awards include a KDD Best Paper Award and the Gene Golub Outstanding Thesis Award. He has served on the Technical Advisory Board of Microsoft and Databricks.
As part of his research, Reza built the Machine Learning Algorithms behind Twitter's whotofollow system, the first product to use Machine Learning at Twitter. Reza is the initial creator of the Linear Algebra Package in Apache Spark. Through Apache Spark, Reza's work has been incorporated into industrial and academic cluster computing environments. In addition to research, Reza designed and teaches two PhDlevel classes at Stanford: Distributed Algorithms and Optimization (CME 323), and Discrete Mathematics and Algorithms (CME 305). 
Steven Brill
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI am a first year PhD student in the Institute for Computational and Mathematical Engineering (ICME). I am interested in computational mechanics, uncertainty quantification, simulation verification and validation, and high performance computing. I earned my bachelor's degree in mechanical engineering at the University of Notre Dame. I am originally from Cincinnati, Ohio. In my free time I enjoy juggling, hiking, and college football.

Daniel Byrnes
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI am an ICME student interested in 3D modeling, motion planning, optimal control, and highperformance computing. I received my BA in mathematics from Bowdoin College in 2015. Prior to starting graduate school I was a software engineer at a medical device startup in Boston, MA.

Leopold Cambier
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2015
Masters Student in Computational and Mathematical Engineering, admitted Spring 2017Current Research and Scholarly InterestsFast Linear Solver for BEM equations

Ines Chami
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI am a first year Masters student in the ICME data science program. Prior to joining Stanford, I studied mathematics and computer science at Ecole Centrale Paris. My research interests include computer vision, natural language processing and, more specifically, multimodal analysis. My previous research was focused on crossmodal information retrieval (image annotation and automated textillustration).