School of Engineering
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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.
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.
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 massively-parallel 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 reduced-order 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) Electro-convection and microscale chaos near electrochemical interfaces
(2) Particle-laden flows with applications in solar receivers
(3) Applications of superhydrophobic surfaces for drag reduction of turbulent flows
(4) Micro-bubble generation by breaking waves
(5) Electrokinetics of micropores and nanopores
Alison Marsden, PhD
Associate Professor of Pediatrics (Cardiology) and of Bioengineering and, by courtesy, of Mechanical Engineering
Current Research and Scholarly InterestsThe Cardiovascular Biomechanics Computation Lab at Stanford develops novel computational methods for the study of cardiovascular disease progression, surgical methods, and medical devices. We have a particular interest in pediatric cardiology, and use virtual surgery to design novel surgical concepts for children born with heart defects.
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
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 video-ad 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, face-to-face.
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.