School of Engineering
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Trevor Hastie
John A. Overdeck Professor, Professor of Statistics and of Biomedical Data Sciences
Current Research and Scholarly InterestsFlexible statistical modelling, datamining, bioinformatics, and statistical computing.

Ron Fedkiw
Professor of Computer Science and, by courtesy, of Electrical Engineering
BioFedkiw's research is focused on the design of new computational algorithms for a variety of applications including computational fluid dynamics, computer graphics, and biomechanics.

Gunnar Carlsson
Ann and Bill Swindells Professor, Emeritus
BioDr. Carlsson has been a professor of mathematics at Stanford University since 1991. In the last ten years, he has been involved in adapting topological techniques to data analysis, under NSF funding and as the lead PI on the DARPA “Topological Data Analysis” project from 2005 to 2010. He is the lead organizer of the ATMCS conferences, and serves as an editor of several Mathematics journals

David Donoho
Anne T. and Robert M. Bass Professor in the School of Humanities and Sciences
BioDavid Donoho is a mathematician who has made fundamental contributions to theoretical and computational statistics, as well as to signal processing and harmonic analysis. His algorithms have contributed significantly to our understanding of the maximum entropy principle, of the structure of robust procedures, and of sparse data description.
Research Statement:
My theoretical research interests have focused on the mathematics of statistical inference and on theoretical questions arising in applying harmonic analysis to various applied problems. My applied research interests have ranged from data visualization to various problems in scientific signal processing, image processing, and inverse problems. 
Carlos Bustamante
Professor of Biomedical Data Science, of Genetics and, by courtesy, of Biology
Current Research and Scholarly InterestsMy research focuses on analyzing genome wide patterns of variation within and between species to address fundamental questions in biology, anthropology, and medicine. My group works on a variety of organisms and model systems ranging from humans and other primates to domesticated plant and animals. Much of our research is at the interface of computational biology, mathematical genetics, and evolutionary genomics.

Brad Osgood
Professor of Electrical Engineering and, by courtesy, of Education
BioOsgood is a mathematician by training and applies techniques from analysis and geometry to various engineering problems. He is interested in problems in imaging, pattern recognition, and signal processing.

Jenny Suckale
Assistant Professor of Geophysics and, by courtesy, of Civil and Environmental Engineering
BioBefore joining Stanford in January 2014, I held a position as Lecturer in Applied Mathematics and as a Ziff Environmental Fellow at Harvard. I hold a PhD in Geophysics from MIT and a Master in Public Administration from the Harvard Kennedy School. Prior to joining graduate school, I worked as a scientific consultant for different international organizations aiming to reduce the impact of natural and environmental disasters in vulnerable communities.
The goal of my research is to advance our basic understanding and predictive capabilities of complex multiphase flows that are fundamental to Earth science. I pursue this goal by developing original computational methods customized for the problem at hand. The phenomena I explore range from the microscopic to the planetary scale and space a wide variety of geophysics systems such as volcanoes, glaciers, and magma oceans.
I have taught both undergraduate and graduate courses in scientific, planetary evolution, and natural disasters. Since arriving at Stanford in January 2014, I have cotaught GES 118, Understanding Natural Hazards, Quantifying Risk, Increasing Resilience in Highly Urbanized Regions. 
Boris Murmann
Professor of Electrical Engineering
BioBoris Murmann is a Professor of Electrical Engineering at Stanford University. He joined Stanford in 2004 after completing his Ph.D. degree in electrical engineering at the University of California, Berkeley in 2003. From 1994 to 1997, he was with Neutron Microelectronics, Germany, where he developed lowpower and smartpower ASICs in automotive CMOS technology. Since 2004, he has worked as a consultant with numerous Silicon Valley companies. Dr. Murmann’s research interests are in mixedsignal integrated circuit design, with special emphasis on sensor interfaces, data converters and custom circuits for machine learning. In 2008, he was a corecipient of the Best Student Paper Award at the VLSI Circuits Symposium and a recipient of the Best Invited Paper Award at the IEEE Custom Integrated Circuits Conference (CICC). He received the Agilent Early Career Professor Award in 2009 and the Friedrich Wilhelm Bessel Research Award in 2012. He has served as an Associate Editor of the IEEE Journal of SolidState Circuits, as well as the Data Converter Subcommittee Chair and the Technical Program Chair of the IEEE International SolidState Circuits Conference (ISSCC). He is the founding faculty codirector of the Stanford SystemX Alliance and the faculty director of Stanford's System Prototyping Facility (SPF). He is a Fellow of the IEEE.

Marco Pavone
Assistant Professor of Aeronautics and Astronautics and, by courtesy, of Electrical Engineering
BioDr. Marco Pavone is an Assistant Professor of Aeronautics and Astronautics at Stanford University, where he also holds courtesy appointments in the Department of Electrical Engineering, in the Institute for Computational and Mathematical Engineering, and in the Information Systems Laboratory. He is a Research Affiliate at the NASA Jet Propulsion Laboratory (JPL), California Institute of Technology. Before joining Stanford, he was a Research Technologist within the Robotics Section at JPL. He received a Ph.D. degree in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. Dr. Pavone’s areas of expertise lie in the fields of controls and robotics.
Dr. Pavone is a recipient of a NASA Early Career Faculty award, a Hellman Faculty Scholar Award, and was named NASA NIAC Fellow in 2011. At JPL, Dr. Pavone worked on the endtoend optimization of the mission architecture for the Mars sample return mission. He has designed control algorithms for formation flying that have been successfully tested on board the International Space Station.
Dr. Pavone is the Director of the Autonomous Systems Laboratory (ASL). The goal of ASL is the development of methodologies for the analysis, design, and control of autonomous systems, with a particular emphasis on largescale robotic networks and autonomous aerospace vehicles. The lab combines expertise from control theory, robotics, optimization, and operations research to develop the theoretical foundations for networked autonomous systems operating in uncertain, rapidlychanging, and potentially adversarial environments. Theoretical insights are then used to devise practical, computationallyefficient, and provablycorrect algorithms for field deployment. Applications include robotic transportation networks, sensor networks, agile control of spacecraft during proximity operations, and mobility platforms for extreme planetary environments. Collaborations with NASA centers are a key component of the research portfolio. 
Ali Mani
Assistant Professor of Mechanical Engineering
BioOur research is broadly defined by multiphysics problems in fluid dynamics and transport engineering. Our work contributes to the understanding of these problems primarily through theoretical tools such as techniques of applied mathematics as well as massivelyparallel simulations. Numerical simulations enable quantitative visualization of the detailed physical processes which can be difficult to detect experimentally. They also provide quantitative data that guide the development of reducedorder models, which would naturally induce insight for design, optimization and control. Most of our work involves complementary interactions with experimental groups within and outside of Stanford. Specific current research topics include:
(1) Electroconvection and microscale chaos near electrochemical interfaces
(2) Particleladen flows with applications in solar receivers
(3) Applications of superhydrophobic surfaces for drag reduction of turbulent flows
(4) Microbubble generation by breaking waves
(5) Electrokinetics of micropores and nanopores 
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.

Cameron Najmabadi
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2015
Other Tech  Graduate, Schwab Learning CenterBioI am currently a masters student in computational and applied mathematics.
My previous work experience:
Summer 2016: Intern, TMobile USA, Corporate Strategy & Analysis
Summer 2015: Intern, RBC Capital Markets, Investment Banking Division
Summer 2014: Intern, Piper Jaffray, Investment Banking Division 
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.

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.

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.

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 multiphase 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.

Junzi Zhang
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2015
BioI am a second year Ph.D. student in Institute for Computational & Mathematical Engineering at Stanford. Before coming to Stanford, I obtained my B.S. degree in School of Mathematical Sciences, Peking University (China). My current research interest mainly lies in the joint of optimization and machine learning, especially convex optimization, Bayesian optimization and reinforcement learning. Apart from this, I'm also interested in application of these techniques to (renewable) energy problems and data mining problems.

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

Hao Yin
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2015
BioI am a PhD candidate at Institute for Computational and Mathematical Engineering, Stanford University. I am interested in network analysis, data mining, machine learning, and time series analysis.

JuiHsien Wang
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2015
BioJuiHsien Wang is a PhD student in Computational and Mathematical Engineering. He is broadly interested in computer graphics, physicsbased animation/sound synthesis, and computational physics. He is currently under the advise of Professor Doug James in the Computer Science department at Stanford.

Johan Ugander
Assistant Professor of Management Science and Engineering
BioUgander's research develops algorithmic and statistical frameworks for analyzing social networks, social systems, and other largescale datarich contexts. He is particularly interested in the challenges of causal inference and experimentation in these complex domains. His work commonly falls at the intersections of graph theory, statistics, optimization, and algorithm design.

Vihan Lakshman
Masters Student in Computational and Mathematical Engineering, admitted Spring 2015
Other Tech  Graduate, Leadership Education & Athletic Advising ResourcesCurrent Research and Scholarly InterestsAlgorithms, Machine Learning, Optimization, Natural Language Processing

Aaron Sidford
Assistant Professor of Management Science and Engineering and, by courtesy, of Computer Science
Current Research and Scholarly InterestsMy research interests lie broadly in the optimization, the theory of computation, and the design and analysis of algorithms. I am particularly interested in work at the intersection of continuous optimization, graph theory, numerical linear algebra, and data structures.

Casey Chu
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2016
Current Research and Scholarly InterestsTheoretical foundations of inference.

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.

Alex Infanger
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 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 Gammaray Flashes using data from the Reuven Ramaty High Energy Solar Spectroscopic Imager.

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.

Ankita Sharma
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
Current Research and Scholarly InterestsNatural Language Processing, Predictive Modelling, Quantitative Finance

Rehman Ali
Ph.D. Student in Electrical Engineering, admitted Autumn 2017
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2017BioRehman Ali received the B.S. degree in biomedical engineering from Georgia Institute of Technology in 2016. He is currently an NDSEG fellow, completing a M.S. in Computational & Mathematical Engineering and pursuing a Ph.D. in Electrical Engineering at Stanford. His research interests include signal processing, inverse problems, computational modeling of acoustics, and realtime beamforming algorithms. His current research is developing accurate and spatially resolved speedofsound imaging in tissue based on phase aberration correction, spatial coherence, and computed tomography

Yu Wu
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
Research AssistantGrad, Graduate School of Business  FinanceBioI am a graduate student in the Financial Mathematics stream of the Master of Science program in the Institute for Computational and Mathematical Engineering (ICME). Prior to Stanford I have received my Bachelor of Engineering Science with High Honors from the University of Toronto.

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. Previous internships include data science roles at Facebook and Google.

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. 
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.

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.

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 is a second year masters student at the Institute for Computational and Mathematical Engineering (ICME) in the general 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.

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.

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 UH60A/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.

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.

Guillaume Genthial
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI am currently enrolled in my second 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 as well as teaching experience in Natural Language Processing and Reinforcement Learning.
I am passionate about new computational techniques, especially AI and DL, that make new discoveries and applications possible.
You can check my personal blog at https://guillaumegenthial.github.io 
Suraj Heereguppe Radhakrishna
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI 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. 
Alexandros Tsaptsinos
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI am strongly interested in the development of databased 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 pathdependent options through MonteCarlo 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. 
Ines Chami
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI am a secondyear 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). I am currently working on information extraction from semistructured data (pdf tables) within the Hazy Research group led by Prof. Ré at Stanford.

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.

Noam Habot
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
Stanford Student Employee, Law Instructional SupportBioI am a second year Master's student in the Data Science Track of ICME. I am currently seeking a data science / machine learning fulltime position upon my graduation from the Data Science Track of ICME program in end of March, 2018. For my 2017 summer internship, I worked as an Applied Machine Learning intern at Apple, focusing on optimizing search on the apple.com website. I previously worked as a Software Engineering Intern for Qualcomm in San Diego, summers (’14 and ’15), building internal tools to automate processes and improve efficiency. Before attending Stanford, I completed my undergraduate studies at UCLA, majoring in Applied Mathematics and in Statistics.

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 has interned the past two summers. During his summers at Adobe he worked on developing Deep Learning models to build a real time system for videoad classification as well as developing an evaluation strategy for Recommender Systems using ranking aggregation methods. Outside of academics, Julio loves to enjoy new food any chance he gets and also loves to socialize the old school way, facetoface.

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.

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

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 multiperiod portfolio optimization. My interests include sequence to sequence learning, distributed processing, stochastic methods, quantitative finance, and optimization theory. Outside of academics, I enjoy running, soccer, moves, and CrossFit.

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 numerical linear solvers for PDEs. Prior joining to Stanford, I have studied at Nazarbayev University in Astana, Kazakhstan. I was born and raised in Kazakhstan.

Yuyun Yang
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
Student Resident Asst, Graduate Life OfficeCurrent Research and Scholarly InterestsI am interested in applying computational methods to the prediction and modeling of uncertain events. This could include a broad spectrum, from natural phenomena/disasters to financial markets.

Guillermo (Willie) Aboumrad Sidaoui
Masters Student in Computational and Mathematical Engineering, admitted Winter 2016
SUMO Tutor, Leadership Education & Athletic Advising ResourcesBioWillie was born and raised in Mexico City. Aged 16, he moved to the UK to continue 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. Having completed his undergraduate studies and having passed the ICME qualifying exams last summer, Willie is currently seeking an advisor to guide him through doctoral research.

Enze Chen
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioEnze is concurrently pursuing a Master's degree in ICME and a Bachelor's degree in Materials Science and Engineering at Stanford University. He wishes to apply machine learning, data science, and other computational tools to problems in the materials domain to accelerate R&D. His research in Prof. Evan Reed's group involves statistical learning of kinetic Monte Carlo models for complex chemical reactions.

Jayadev Bhaskaran
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2017
BioI am a master's student at ICME, interested in applications of machine learning to problems from finance, economics, social science and healthcare.
Prior to joining ICME, I worked as a quant in the asset management industry for three years. 
Sahitya Mantravadi
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2017
CS229 Hourly CA, Computer Science
Stanford Student Employee, Computer Science
Stanford Student Employee, Institute for Computational and Mathematical Engineering (ICME)BioI'm a firstyear MS student with ICME. I recently graduated from Cornell in May 2017 having studied Computer Science and Applied Math. There, I was a head teaching assistant for Machine Learning (CS 4780), Discrete Structures (CS 2800), and Engineering Probability and Statistics (ENGRD 2700), while also conducting computational astrophysics research with the Cornell Center for Space Research and Radiophysics.
My interests within CME are fairly applicationdriven; they include modeling of real world systems (so far, financial systems and astrophysics) and machine learning techniques, but I would also like to broaden my knowledge by applying CME fundamentals to any interesting problem that I find!