School of Engineering
Showing 1-97 of 97 Results
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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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Izabel Pirimai Aguiar
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2018
BioHello! I’m a fourth year PhD candidate at ICME where I’m lucky to be advised by Johan Ugander, and grateful to be a Knight-Hennessy Scholar and NSF Graduate Research Fellow. I received my BS in Applied Mathematics and Statistics from the Colorado School of Mines in May 2017 and my MS in Computer Science from the University of Colorado, Boulder in August 2018. After receiving my MS I was a visiting researcher in the Stanford Autonomous Systems Lab, a Safeway cake decorator, and the owner and baker of Bell’s Bakery.
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Ryan Michael Aronson
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2018
BioI am a fifth 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. 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, isogeometric, structure-preserving collocation methods, and stabilized isogeometric collocation methods. Currently I work with Professor Hamdi Tchelepi on stabilized methods for compositional geomechanics problems. I have also had the pleasure of working industry internships with Meta Reality Labs, TotalEnergies, and Walt Disney Animation Studios.
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Amel Awadelkarim
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2017
BioMy 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. -
Haoxuan Chen
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2022
BioPersonal website: https://haoxuanstevec00.github.io/
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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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Qiuye Jia
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2018
Current Research and Scholarly InterestsMy research focuses on inverse problems and propagation of
singularities using microlocal analysis.
Regarding the propagation of singularity, I currently focus on the Einstein equation on Kerr de-Sitter spacetimes. -
Riley Juenemann
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2021
BioSecond-year Computational and Mathematical Engineering (ICME) PhD Student @ Stanford University passionate about research at the intersection of mathematics, computing, and biology.
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Charles A Kantor
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2021
Current Research and Scholarly InterestsDeFi/Dapps/DAOs, Deep Learning & Data-Centric AI, Computer Vision, Mathematics
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Yiping Lu
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2019
BioI am a Ph.D. student of Stanford Institute for Computational and Mathematical Engineering working with Lexing Ying and Jose Blanchet. I also work closely with Jianfeng Lu and Tatsunori Hashimoto. My research is supported by Stanford Interdisciplinary Graduate Fellowship.
My research lies in the intersection between optimal/stochastic control, statistics machine learning, applied analysis and computational physics.
More Information: https://sites.google.com/view/yipinglu2prime/home -
Laura Lyman
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2015
BioHello! I am a PhD candidate at the Institute for Computational and Mathematical Engineering (ICME). I am proud to be advised by Professor Gianluca Iaccarino.
Some of my research interests include stochastic Galerkin methods, uncertainty quantification, polynomial chaos, applied partial differential equations, and Monte Carlo methods — though often, the academic boundaries and specific titles will overlap. Prior to graduate school, I attended Reed College as a mathematics major and worked as a software developer in Portland, OR. In 2018, I was a recipient of the Stanford Centennial Teaching Award. I am also a Stanford EDGE Fellow and was awarded the Thomas V. Jones Fellowship Fund.
If you have questions about more current work, the best route is to contact me via email (lymanla@stanford.edu) directly. Thanks! -
Tetiana Parshakova
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2019
BioI am interested in developing novel learning algorithms using techniques from optimization and statistics along with theoretical guarantees for these methods.
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Adrienne Propp
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2021
BioI am a second year PhD student in ICME (the Institute for Computational and Mathematical Engineering). Prior to Stanford, I was working as a technical analyst at the RAND Corporation where I spent most of my time designing microsimulations and other models to investigate topics in healthcare, education, disaster relief, and international relations.
My research interests fall broadly into the intersection of data and modeling. Past research projects have ranged from computational models of the heart to inverse modeling to predict satellite performance. At Stanford, I am exploring topics including uncertainty quantification, adaptive sampling, graph-informed neural networks, and geophysical modeling. -
Nadim Saad
Ph.D. Student in Computational and Mathematical Engineering, admitted Spring 2020
BioHi ! My name is Nadim Saad and I'm a fifth year PhD candidate in Computational and Mathematical Engineering advised by Professor Margot Gerritsen. My interests lie broadly in Numerical PDEs. I'm currently working on PDE based traffic flow models.
I'm originally from Lebanon and speak English, French and Arabic fluently and proficient in Spanish. In my free time, I enjoy running and singing ! -
Rahul Sarkar
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2017
Current Research and Scholarly InterestsInverse problems, machine learning for seismic imaging, quantum computing
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Adrien Specht
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2022
BioAdrien Specht is a master’s student at both ENS Paris-Saclay and Stanford University. He majored in electrical, computational, and mathematical engineering with the ambition to advance Sleep Sciences. In France, he was one of the sleep pioneers working with the start-up Dreem on a new deep learning strategy to conduct EEG spectral analysis. Now in California, he is assisting Dr. Mignot with data-oriented research such as studying sleep depth and circadian rhythm with machine learning and proteomics. To him, the best moment of the day is after lunch with a coffee, a nice sunbath, and enjoyable sleep talks with colleagues.
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Zhenzhen Weng
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2020
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2018BioJen Weng is a PhD student in Computational and Mathematical Engineering with experience in designing and developing deep learning and computer vision algorithms. Webpage: https://zzweng.github.io/
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Zifei Xu
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2021
Course Grader, StatisticsBioStudent in Master of Computational & Mathematical Engineering, Data Science Track
