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.