School of Engineering
Showing 1-50 of 98 Results
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Guillermo Aboumrad Sidaoui
Ph.D. Student in Computational and Mathematical Engineering, admitted Summer 2018
BioWillie was born and raised in Mexico City. He later moved to the UK to complete his high school studies. In the fall of 2014, Willie arrived at Stanford to begin his undergraduate career in Mathematics. Interested in applications of mathematical theory, he later gained admission to the Master's program at ICME. He is currently pursuing a doctoral degree under the advisory of Prof. Daniel Bump.
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Christiane Adcock
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2018
Current Research and Scholarly InterestsI research theoretical and computational methods to model, design, and control energy systems. These methods include computational fluid dynamics, uncertainty quantification, and high performance computing. Energy systems include wind turbines, the electricity grid, vehicles, and carbon sequestration systems. Currently, I am researching hybrid RANS-LES methods for wind farm modeling in the Uncertainty Quantification lab in collaboration with the National Renewable Energy Laboratory.
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Ryan Michael Aronson
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2018
BioI am a third year PhD student in the Institute for Computational and Mathematical Engineering (ICME). I am mainly interested in developing numerical methods with applications to computational mechanics and fluid dynamics. I am particularly interested in high-order, structure-preserving, finite element, and isogeometric methods. Currently I am working with Professor Doug James in the area of fluid sound synthesis. Prior to coming to Stanford, I earned a B.S. in Aerospace Engineering Sciences at the University of Colorado Boulder, where I worked with Professor John Evans on residual-based variational multiscale turbulence modeling and isogeometric, structure-preserving collocation methods.
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Amel Awadelkarim
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2017
Club Sports Coach, Recreation Competitive SportsBioMy academic background is in Computational Fluid Dynamics, Finite Element Analysis, and Continuum Mechanics with an M.S. in Engineering Science and Mechanics from Penn State University. I am becoming more and more intrigued by data analytics & applying machine learning techniques to social sciences and networks.
Outside of academia, my interests include consuming music at all times (digitally and at live shows), competing on various Ultimate Frisbee teams (Club and National levels), cooking, and generally exploring the surrounding area. -
Steven Brill
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI am a second year PhD student in the Institute for Computational and Mathematical Engineering (ICME). I am interested in computational fluid dynamics, higher order methods for numerical PDEs, 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.
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Ines Chami
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2018
BioI am a second-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 cross-modal information retrieval (image annotation and automated text-illustration). I am currently working on information extraction from semi-structured data (pdf tables) within the Hazy Research group led by Prof. Ré at Stanford.
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Philip Etter
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2017
BioI'm is a fourth year PhD student in the Institute for Computational and Mathematical Engineering at Stanford University. My interests lie broadly in the realm of data science and computational mathematics, spanning machine learning, numerical linear algebra, theoretical computer science, and computational physics. In particular, my most recent research focuses on finding efficient methods to improve accuracy when solving linear systems with unstructured noise. My other research focuses on model order reduction, leveraging machine learning and linear algebra techniques to deliver massive performance boosts in many-query physics problems, e.g., Bayesian inference and uncertainty quantification, while simultaneously guaranteeing accurate results. I presented these techniques in talks at SIAM: CSE ’19 and at ICIAM ’19, and published in CMAME. In the past, I've also worked as a data science research intern at Sandia National Laboratories, a software engineering intern at Google, and a research contractor at Bell Labs.
I received my undergraduate degree from Princeton, where I studied mathematics, computer science, and physics. While I was there, I wrote my undergraduate thesis on numerical methods for solitonic boson star evolution and ground state searching, graduating summa cum laude. Before that, I did some research in theoretical optics. And before that, I was interested in graph algorithms. But while I have a very broad background in mathematics and related fields, I'm particularly excited by finding ways of using data to accelerate computation, build fast approximation techniques, and make predictions about the future (and inferences about the present).
Going forward, I want to continue to develop better and faster algorithms by bringing the power of data science to bear on interesting computational and statistical challenges.
My other assorted interests include quantum physics, general relativity, computer graphics, and music.
I prefer tabs to spaces, and vim to emacs. -
Jordi Feliu Faba
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI am a PhD student in the Institute for Computational and Mathematical Engineering (ICME). I was born and I received my education in Spain. I received my two Bachelor's degrees in Industrial Technology Engineering and in Civil Engineering at Universitat Politècnica de Catalunya (UPC) in Barcelona. In 2014 I moved for 6 months to France to finish my Bachelor's degree in Civil Engineering at Ecole Centrale de Nantes. Next, I returned to Barcelona to course a MSc in Civil Engineering at UPC and gain work experience in civil engineering. My research interests lie in the area of computational engineering.
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Casey Fleeter
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2015
BioI am a PhD student at Stanford University's Institute of Computational and Mathematical Engineering (ICME). I graduated from Harvard University in 2015 with a Bachelor of Arts in Physics. My research interests lie in the applications of mathematical methods to the cardiovascular system. My project in the Marsden Lab specifically utilizes techniques in uncertainty quantification.
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Abeynaya Gnanasekaran
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2016
Masters Student in Computational and Mathematical Engineering, admitted Winter 2021BioI am a PhD student in the Institute for Computational and Mathematical Engineering. My research interests lie in Numerical Linear Algebra and Parallel Computing. I'm working with Prof. Eric Darve on developing fast algorithms for general linear systems. I obtained my B.Tech (Honors) in Chemical Engineering from Indian Institute of Technology Madras, India.
I was born and brought up in Neyveli, an industrial town in south India. I enjoy listening to Indian music and reading novels. -
Ryan Alexander Humble
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2018
Current Research and Scholarly InterestsFast sparse linear system solvers,High-performance computing, Numerical methods for physical systems
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Alexander Infanger
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI am a second year PhD student at the Institute for Computational and Mathematical Engineering. I currently work on mean field models of (randomly) interacting agents with professor Peter Glynn.
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Arun Jambulapati
Ph.D. Student in Computational and Mathematical Engineering, admitted Spring 2016
Current Research and Scholarly InterestsI am interested in discrete mathematics and graph theory, especially in applications of combinatorics to Big Data.
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Ramtin Keramati
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2015
Current Research and Scholarly InterestsReinforcement Learning, Deep Learning, Human in the Loop Reinforcement Learning
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Allison Koenecke
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2016
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2020BioI am a PhD candidate in the Institute for Computational and Mathematical Engineering (ICME). Prior to joining the Stanford community, I worked at NERA Economic Consulting in New York, where I specialized in data work with applications to antitrust litigation and mergers. I am originally from the DC area and received my Bachelor's in Mathematics with Computer Science from MIT. Previous internships include data science roles at Facebook, Google, and Microsoft.
