Institute for Computational and Mathematical Engineering (ICME)
Showing 1-100 of 110 Results
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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, calculus of variations, and numerical analysis.
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David Barmherzig
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2013
BioI am a fourth-year 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.
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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, human-centered, and social problems. My hobbies include art & design and traveling.
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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
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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 who-to-follow 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 PhD-level 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.
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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 high-performance 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.
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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
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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 cross-modal information retrieval (image annotation and automated text-illustration).
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Casey Chu
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2016
Current Research and Scholarly InterestsTheoretical foundations of inference.
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Sean Clement
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI am a masters student in Stanford's Computational Mathematics and Engineering department starting in 2016. I am currently a Captain in the US Army where I work in the FA49 branch which handles all of the Army's Operations Research and Systems Analysis needs. I chose to study here at Stanford after completing my company command in Germany. Previously, I was a UH-60A/L Blackhawk pilot and majored in Operations Research at the United States Military Academy at West Point. I'm very excited to not only study here at Stanford but also be much closer to my family in the Pacific Northwest. I enjoy traveling, camping, hockey, and archery.
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Ron Estrin
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2014
BioI am a PhD candidate working on problems in numerical linear algebra and optimization (in particular, nonconvex problems with nonlinear constraints) with my doctoral advisor Michael Saunders, as well as with Michael Friedlander and Dominique Orban. Prior to beginning my PhD, I completed my BSc with a Combined Honours in Mathematics and Computer Science from the University of British Columbia. During my time at UBC I also completed a senior thesis with Chen Greif, studying saddle-point matrices exhibiting certain special structure.
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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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Pengfei Gao
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2014
BioI am a third-year PhD candidate in the ICME (Institute for Computational and Mathematical Engineering) at Stanford University. My PhD advisor is Professor Tze Leung Lai. I received my Bachelor’s degree in Mathematics and Physics (2014) from Tsinghua University.
My current research interests is AI applied in quantitative trading. To apply theory in practice, I co-founded a trading firm, Insanity Trading, based in Beijing with alumni from Stanford University, Peking University and Tsinghua University. With the deep understanding of China market characteristics, we integrate modern statistical theories, cutting-edge AI algorithms and sophisticated optimization methods into our trading strategies, hence consistently achieve exceptional returns with minimum influence from market conditions.
If you want to implement your strategies in Chinese markets, or need supports in developing trading ideas, please feel free to contact us. -
Guillaume Genthial
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI am currently enrolled in my first year as a master's student in Computational and Mathematical Engineering in the Data Science track, where I develop strong computational and programming skills.
I also have a masters' degree in Applied Mathematics from the Ecole polytechnique, the France's top university for science and engineering, where I also studied computer science, quantum and statistical physics.
I have solid research experience in Natural Language Processing and Deep Learning.
I am passionate about new computational techniques, especially AI and DL, that make new discoveries and applications possible.
You can check my personal webpage at https://guillaumegenthial.github.io -
Abeynaya Gnanasekaran
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 at Stanford University. My research interests broadly lie in the applications of mathematics and simulations to study problems in engineering and biology. I have a bachelors degree (with Honours) in Chemical engineering from Indian Institute of Technology Madras, India. My undergraduate research was in the area of Computational Microfluidics. Also I did a summer research internship in Process Control at EPFL, Switzerland.
I was born and brought up in Neyveli, an industrial town in south India. I enjoy listening to Indian music and reading novels. -
Noam Habot
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
Student Employee, Law Instructional SupportBioI am a first year Master's student in the Data Science Track of ICME. Before coming to Stanford, I studied Applied Mathematics and Statistics at UCLA. I also have previous professional experience in Software Engineering, interning at Qualcomm in San Diego for two summers. I am seeking a data-related internship for the summer of 2017.
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Suraj Heereguppe Radhakrishna
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
Student Employee, Medicine - Med/General Internal MedicineBioI am a master's student at ICME, with a passion for all the various ways data science may be applied in areas that have the potential to impact society in insightful ways.
Music is a big part of my life, having played the violin for around 15 years. I am also a part of Raagapella, a South Asian A Capella group at Stanford. If you run into me randomly and happen to hear me humming and lost in the tune, don't worry that's what I'm usually doing when not interacting with anyone. -
Alex Infanger
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 graduated with a BS in physics with highest honors from UC Santa Cruz, where I developed search algorithms and used statistical methods to show the existence of ultra bright Terrestrial Gamma-ray Flashes using data from the Reuven Ramaty High Energy Solar Spectroscopic Imager.
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Arun Jambulapati
Ph.D. Student in Computational and Mathematical Engineering, admitted Spring 2016
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2014Current Research and Scholarly InterestsI am interested in discrete mathematics and graph theory, especially in applications of combinatorics to Big Data.
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Indraneel Gireendra Kasmalkar
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2015
Masters Student in Computational and Mathematical Engineering, admitted Spring 2017Current Research and Scholarly InterestsWe are currently limited in our understanding of the magnitude and time span in which global warming will affect the melting of the Antarctic ice sheet. I create mathematical models for the multi-phase flow of ice, sediment and water and then run simulations for the Antarctic ice streams to gain a better understanding of how ice is transported off the continent.
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Ramtin Keramati
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2015
Current Research and Scholarly InterestsComputer Vision, Deep Learning on 3D shapes
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Allison Koenecke
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) and am being sponsored by the National Physical Science Consortium. 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.
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Vihan Lakshman
Masters Student in Computational and Mathematical Engineering, admitted Spring 2015
Current Research and Scholarly InterestsAlgorithms, Machine Learning, Optimization, Natural Language Processing
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Matan Leibovich
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2015
Current Research and Scholarly InterestsI am interested in investigating and modeling PDEs in complex and stochastic environment for various applications such as imaging and wave propagation, and their interface with statistical learning and optimization.
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Laura Lyman
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2015
Other Tech - Graduate, DAPER Departmentwide OperationsBioHello! I am a second year PhD student at the Institute for Computational and Mathematical Engineering (ICME). Currently my research interests are divided between topology, probability, and stochastic processes. Prior to graduate school, I attended Reed College as a mathematics major and worked for one year as a software developer in Portland, OR.
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Danielle Maddix
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2013
Current Research and Scholarly InterestsI develop advanced numerical methods for nonlinear partial differential equations in terms of stability, accuracy and conservation. I am advised by Professor Margot Gerritsen.
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Gabriel Maher
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2014
BioFor my research I am applying deep learning towards improving segmentation in cardiovascular medical images.
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Eileen Martin
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2012
Current Research and Scholarly Interestsscientific computing, signal processing, passive seismic imaging, distributed acoustic sensing, inverse problems, real-time/frequent seismic monitoring
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Julio Martinez
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioJulio A. Martinez was born and raised in Southern California. Julio is currently starting his first year as an M.S. student at the Institute for Computational Mathematics and Engineering (ICME) in the general track. Recently Julio graduated from the University of California, San Diego (UCSD) with a B.S. for a double major in Applied Mathematics and Engineering Sciences. As an undergrad, Julio worked on various computationally oriented research projects ranging from computational mechanics to distributed robotics. Julio has strong interests in optimization theory and machine learning and has had an opportunity to apply his interests at Adobe Research in San Jose, CA where he interned this past summer. During his summer at Adobe he worked on the evaluation of Recommender Systems. Outside of academics, Julio loves to enjoy new food any chance he gets and also loves to socialize the old school way, face-to-face.
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Karen Ebert Matthys
Executive Director, Institute for Computational and Mathematical Engineering (ICME)
Current Role at StanfordAs Executive Director of External Partners at ICME, I develop relationships with companies and national laboratories interested in computational mathematics, data science and visualization, machine learning and high performance computing. I am also an Innovation Partner at SRI International.
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Song Mei
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2014
BioI am a third year Ph. D. student in Institute for Computational and Mathematical Engineering at Stanford, advised by Andrea Montanari. Before coming to California, I studied Mathematics at Peking University. My research interest lies broadly in data sciences, say, in the intersection of applied probability, statistics, machine learning, information theory, and computations. Currently, I am interested in random matrices and random graphs, convex and non-convex optimizations, sequential testing and adaptive design.
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Clara Meister
Masters Student in Computational and Mathematical Engineering, admitted Winter 2016
BioI'm entering my fourth year at Stanford and just starting with the ICME program. My undergraduate studies were in Mathematical and Computational Sciences. I'm looking forward to continuing my Master's in a complimentary area. I'm very passionate about the intersection of applied math and computer science and am currently looking for internships that will allow me to explore this interest
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Hunter Mills
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2015
BioI was born and raised in Northern California. I am currently interested in scientific computing, modeling and visualization.
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Cameron Najmabadi
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2015
Student Employee, Stanford Center for Professional Development - Professional EducationBioI am currently a masters student in computational and applied mathematics.
My previous work experience:
Summer 2016: Intern, T-Mobile USA, Corporate Strategy & Analysis
Summer 2015: Intern, RBC Capital Markets, Investment Banking Division
Summer 2014: Intern, Piper Jaffray, Investment Banking Division -
Sudarsan N S Acharya
Ph.D. Student in Computational and Mathematical Engineering, admitted Winter 2010
Current Research and Scholarly InterestsNumerical linear algebra, multilevel iterative methods, numerical methods for PDEs, applied probability & optimization, high performance computing
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Bradley Nelson
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2014
Current Research and Scholarly InterestsMachine Learning, Topological Data Analysis
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Mackenzie Pearson
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI am a first year Master's student in the Data Science Track of ICME. I graduated from McGill University in 2015 with a Bachelor of Science degree in Applied Mathematics. Upon graduation, I sought out an internship opportunity at Picton Mahoney Asset Management. I worked closely with one of their quantitative analysts, helping with the development of his analytical toolbox and creating new database scrubbing programs. At the end of my internship, I was offered a position with the Quantitative Infrastructure team. This experience opened my eyes to the profound impact that data science can have in industry. Seeking new opportunities I was driven to Stanford where I hope to enrich my knowledge of data science while discovering and gaining access to new socially responsible careers within the field of big data.
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Jacob Perricone
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioBorn in San Diego, CA, but raised in New York City, I am returning to my home coast to study Computational and Mathematical Engineering (ICME) with a focus on Computational Finance. I graduated from Princeton University in 2016 with a B.S.E in Operations Research and Financial Engineering and a certificate in Computer Science. As an undergraduate I did research ranging from the design of transportation networks to multi-period portfolio optimization. My interests include stochastic methods in quantitative finance, optimization theory, numerical methods, and machine learning. Outside of academics, I enjoy running, soccer, moves, and CrossFit.
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Stephanie Sanchez
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioStephanie M. Sanchez was born in Mountain View, California and raised in Visalia, California. She has started her first quarter in the Masters program at Institute for Computational and Mathematical Engineering (ICME) in the imaging science track. Stephanie received her B.S. in Applied Mathematics with a Specialization in Computation from University of California, Los Angeles (UCLA). As an undergraduate at UCLA she gained research experience in imaging processing/computer vision through UCLA's Student Research program and UCLA's California Research Training Program in Computational and Applied Mathematics. In the summer of 2014 Stephanie also participated in time series analysis research for forecasting future crime rates for the Los Angeles Police Department (LAPD) through Research Industrial Projects for Students (RIPS) hosted by the Institute of Pure and Applied Mathematics (IPAM) at UCLA. Stephanie's enjoyments aside from academia, include playing World of Warcraft, guitar, and writing screenplays.
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Andreas Santucci
Teaching Asst-Graduate, Institute for Computational and Mathematical Engineering (ICME)
Teaching Asst-Graduate, Institute for Computational and Mathematical Engineering (ICME)BioAndreas studied Economics at UC Berkeley, where he was also a walk-on student-athlete for the men's Swimming and Diving Team. He found his niche in applied econometrics, writing a thesis which investigated the causal effects of NCAA D1 sports participation on students' GPA's. After graduating, Andreas worked for several years at The Brattle Group, where he wrote statistical programs to support the expert testimony of Daniel McFadden. Since coming to Stanford, Andreas has TA'd courses in Probability and Statistics, Distributed Algorithms and Optimization, and Software Engineering for Scientists and Engineers. During the summer of 2015, he worked as an intern for Lawrence Livermore National Laboratory, as part of an effort with Kaiser Permanente research division to predict the early onset of sepsis, an immune response which accounts for nearly half of all deaths in US hospitals.
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Ankita Sharma
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
Student Employee, Stanford Center for Professional Development - Professional EducationCurrent Research and Scholarly InterestsMachine Learning, Predictive analytics, Quantitative trading
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Ian Shaw
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioBorn and raised in Temecula, CA, I played basketball and graduated from Great Oak High School in 2012. After a short summer, I traveled to Annapolis, Maryland to spend four short years on the shores of the Severn at the United States Naval Academy. In May 2016 I graduated with a Bachelors of Science in Mathematics and commissioned into the United States Navy. Before entering the service, I am spending two years in Palo Alto in order to reconnect with my California roots and study a bit of Computational Engineering. I enjoy running, swimming, and CossFit.
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Vishal Subbiah
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI was born in India but lived in Japan for a few years. Before joining Stanford, I obtained my Bachelor’s from the Indian Institute of Technology (IIT) Madras in Metallurgical and Materials Engineering with a minor in Assistive Technologies. I also had the opportunity to pursue research in Germany and Canada during my undergraduate studies.
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Nurbek Tazhimbetov
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), interested in computational fluid dynamics and astrophysics. Prior joining to Stanford, I have studied at Nazarbayev University in Astana, Kazakhstan. I was born and raised in Kazakhstan.
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David Thomas
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioDuring my three years in the high frequency trading industry, I had the opportunity to work on many cutting edge projects in machine learning, distributed systems engineering, and high performance computing. I entered graduate school to extend my knowledge in these areas and I am currently working with the computational astrophysics group at SLAC on a dark matter inference pipeline.
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Alexandros Tsaptsinos
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
Tutor, Office of Accessible EducationBioI am strongly interested in the development of data-based education technology and the use of machine learning in the education and music industry.
Completed my Masters in Mathematics at Pembroke College, Oxford, I specialised in stochastic methods and their computational modelling producing a dissertation computing the value of various path-dependent options through Monte-Carlo methods.
Outside of Mathematics I enjoy technology development through coding and have previously developed my own app, 'Uni Guide'. This was followed up with the creation of a free counterpart and both combined have amassed 4k+ downloads from the App Store. -
Varun Vasudevan
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2016
Current Research and Scholarly InterestsMaster's Thesis
Title: Best rank-1 approximations without orthogonal invariance for the 1-norm.
Abstract: Data measured in the real-world is often composed of both a true signal, such as an image or experimental response, and a perturbation, such as noise or weak secondary effects. Low-rank matrix approximation is one commonly used technique to extract the true signal from the data. Given a matrix representation of the data, this method seeks the nearest low-rank matrix where the distance is measured using a matrix norm.
The classic Eckart-Young-Mirsky theorem tells us how to use the Singular Value Decomposition (SVD) to compute a best low-rank approximation of a matrix for any orthogonally invariant norm. This leaves as an open question how to compute a best low-rank approximation for norms that are not orthogonally invariant, like the 1-norm.
In this thesis, we present how to calculate the best rank-1 approximations for 2-by-n and n-by-2 matrices in the 1-norm. We consider both the operator induced 1-norm (maximum column 1-norm) and the Frobenius 1-norm (sum of absolute values over the matrix). We present some thoughts on how to extend the arguments to larger matrices. -
Jui-Hsien Wang
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2015
BioJui-Hsien Wang is a PhD student in Computational and Mathematical Engineering. He is broadly interested in computer graphics, physics-based animation/sound synthesis, and computational physics. He is currently under the advise of Professor Doug James in the Computer Science department at Stanford.
