Principal Investigator

Youssef Marzouk

Youssef Marzouk [www]
Youssef Marzouk is an associate professor in the Department of Aeronautics and Astronautics at the Massachusetts Institute of Technology (MIT), and co-director of the MIT Center for Computational Engineering. He is also a core member of the Statistics & Data Science Center in MIT's Institute for Data, Systems, and Society (IDSS) and Director of MIT’s Aerospace Computational Design Laboratory. His research interests lie at the intersection of physical modeling with statistics and computation. He received his SB, SM, and PhD degrees from MIT and spent several years at Sandia National Laboratories before joining the MIT faculty in 2009. He is a recipient of the Hertz Foundation Doctoral Thesis Prize (2004), the Sandia Laboratories Truman Fellowship (2004-2007), the US Department of Energy Early Career Research Award (2010), and the Junior Bose Award for Teaching Excellence from the MIT School of Engineering (2012). He is an Associate Fellow of the AIAA and serves on the editorial boards of several journals, including the SIAM Journal on Scientific Computing, Advances in Computational Mathematics, and the SIAM/ASA Journal on Uncertainty Quantification. He is also an avid coffee drinker and classical pianist.

Postdoctoral Associates

Daniele Bigoni

Daniele Bigoni [www]
Some of the buzzwords which describe my active scientific interests are uncertainty quantification, high-dimensional function approximation, tensor decomposition, inverse problems, data assimilation and control. I have also some less active scientific interests, such as numerical methods for PDEs and ODEs, mainly arising from mechanical systems and water waves. More broadly I'm very keen to talk about applied mathematics, and at a certain extent of theoretical mathematics. I have also a background in Computer Science. I spend my spare time exercising (mostly running lately), going to the theater, cooking good food and occasionally dancing tango.

Jayanth Jagalur

Jayanth Jagalur
My research is broadly in the field of UQ and inverse problems. Other areas that interest me are, multi-scale methods, adaptivity, iterative solvers, and HPC. Prior to joining the group I was at RPI, where I obtained an M.S. in Applied Mathematics and PhD. in Mechanical Engineering. My dissertation research involved developing variational multi-scale methods for deterministic and stochastic wave equations. Outside my work, I usually prefer to spend time in the outdoors, indulge in culinary exploits or continue my quest to learn music.

Graduate Students, PhD

Michael Brennan

Michael Brennan
My research is broadly in the area of numerical methods for uncertainty quantification and mathematical modeling. I am currently interested in techniques that exploit multi-scale/multi-feature structure in a system's dynamics. These methods accelerate large scale computations. Before joining MIT, I received an M.S. in Mathematics from Virginia Tech, where I studied nonlinear eigenvalue problems and reduced order modeling. Outside of work, I enjoy cooking, snowboarding, and exploring Boston.

Chi Feng

Chi Feng
My research interests include optimal experimental design in the presence of model error and other topics in uncertainty quantification. I received my bachelor's degree in Physics from the California Institute of Technology. Outside of my work, I am interested in classical piano, photography, web design, and the culinary arts.

Fengyi Li

Fengyi Li
My current research is related to machine learning, inference, and optimal experimental design. In addition, I am interested in Bayesian statistics, optimization and applied probability. I was born and raised in Zhengzhou, China and lived in College Station, Texas for a few years, where I received my Bachelor’s degrees in Mathematics and Mechanical Engineering from Texas A&M University. In my free time, I enjoy playing tennis and listening to music.

Ricardo Miguel Baptista

Ricardo Miguel Baptista
My current research focuses on the optimization of coupled multi-physics systems. I am also interested in high-dimensional problems, compressive sensing, and machine learning techniques. I grew up in Toronto and graduated in 2015 from the Engineering Science program at the University of Toronto. Before joining MIT, I also worked in Flight Sciences at Bombardier Aerospace. In my free time, I enjoy swimming and traveling.

Antoni Musolas

Antoni Musolas
My current research is optimization under uncertainty. I am also interested in numerical methods and probability theory. I was born in Barcelona and I graduated in Civil and Mining Engineering from UPC-BarcelonaTech in July, 2013. Prior to joining MIT, I worked in Investment Banking. I am recipient of "la Caixa" scholarship. Outside of work, I enjoy playing soccer and swimming.

Jon Paul (JP) Janet

Jon Paul (JP) Janet
My research is focused on optimal catalyst design from a first-principles (quantum/electronic structure) perspective. I am interested in the optimization of, and uncertainty, surrogacy and model inadequacy in, the relationship between atomistic structure and catalytic behavior, and am co-advised by Heather Kulik. I am originally from South Africa, where I read chemical engineering for my bachelors, but have also lived in Sweden and Germany, where I completed a master's in applied mathematics. I enjoy hiking, forests and am passionate about oenology and viticulture.

Andrea Scarinci

Andrea Scarinci
I am interested in uncertainty quantification applications in aircraft systems design and multidisciplinary optimization. I am also interested in machine learning techniques and natural language modeling to facilitate systems engineering processes. I have previously worked as a propulsion control engineer at Airbus for two years before moving to Boston. Outside work, I am part of the MIT chamber choir and passionate about music, cinema and anthropology.

Benjamin Zhang

Benjamin Zhang
My current research is related to Bayesian inference and filtering. I am also generally interested in numerical methods for stochastic modeling and PDEs. I was born in China, but I spent most of my years growing up in Canada and the San Francisco Bay Area. I graduated in 2015 from UC Berkeley, where I received my Bachelor's degrees in Engineering Physics and Applied Mathematics. Outside of work, come talk to me about politics, history, cartography, intrigue, conspiracy, and gripping denouement.

Graduate Students, SM


Postdoctoral Associates

  • Florian Augustin (MathWorks)
  • Ingrid Berkelmans (Australia Future Fund)
  • Tiangang Cui (Lecturer, Monash University)
  • Sonjoy Das (Assistant Professor, University at Buffalo)
  • Tarek El Moselhy (D. E. Shaw Group)
  • Michalis Frangos (Schlumberger)
  • Nikhil Galagali (Philips Research)
  • Xun Huan (Assistant Professor, University of Michigan)
  • Jinglai Li (Associate Professor, Shanghai Jiaotong University)
  • Alexandre Marques (MIT)
  • Rebecca Morrison (Assistant Professor, University of Colorado Boulder)
  • Matthew Parno (Cold Regions Research and Engineering Laboratory)
  • Antti Solonen (Lappeenranta University of Technology and Eniram)
  • Alessio Spantini (Bridgewater Associates)
  • Ankur Srivastava (Uptake Technologies)
  • Luca Tosatto (Bridgewater Associates)
  • Olivier Zahm (INRIA Grenoble)

Long Term Visitors

  • Daniele Bigoni (Technical University of Denmark)
  • Ben Calderhead (Imperial College London)
  • Weiqi Ji (Tsinghua University)
  • Dominic Kohler (Siemens AG)
  • Jinglai Li (Shanghai Jiaotong University)
  • Lionel Mathelin (LIMSI/CNRS France)
  • Friedrich Menhorn (TU Munich)
  • Sebastian Springer (Lappeenranta University of Technology)
  • Faidra Stavropoulou (TU Munich)
  • Jouni Susiluoto (Finnish Meteorological Institute)
  • Lara Welder (RWTH Aachen)

PhD Students

  • Raghav Aggarwal (graduated January 2018)
    • Thesis: A phase field model for the gallium permeation of aluminum grain boundaries (co-advised with M. Demkowicz)
    • Affiliation: Stealth mode startup
  • Patrick Conrad (graduated April 2014)
    • Thesis: Accelerating Bayesian inference in computationally expensive computer models using local and global approximations 
    • Affiliation: SpaceX
  • Andrew Davis (graduated May 2018)
    • Thesis: Prediction under uncertainty: from models for marine-terminating glaciers to Bayesian computation (co-advised with P. Heimbach)
    • Affiliation: Cold Regions Research and Engineering Laboratory
  • Nikhil Galagali (graduated December 2015)
    • Thesis: Bayesian inference of chemical reaction networks
    • Affiliation: Apple, Inc.
  • Alex Gorodetsky (graduated September 2016)
    • Thesis: Continuous low-rank tensor decompositions, with applications to stochastic optimal control and data assimilation (co-advised with S. Karaman)
    • Affiliation: Assistant Professor, University of Michigan
  • Xun Huan (graduated August 2015)
    • Thesis: Numerical approaches for sequential Bayesian optimal experimental design
    • Affiliation: Assistant Professor, University of Michigan
  • Matthew Parno (graduated October 2014)
    • Thesis: Transport maps for accelerated Bayesian computation 
    • Affiliation: Cold Regions Research and Engineering Laboratory
  • Alessio Spantini (graduated August 2017)
    • Thesis: On the low-dimensional structure of Bayesian inference
    • Affiliation: MIT
  • Zheng Wang (graduated June 2019)
    • Thesis: Optimization-based sampling in function space for Bayesian inverse problems
    • Affiliation: Kaleidoglobe

SM Students

  • Thomas Coles (MIT)
  • Lucio Di Ciaccio (The Carlyle Group)
  • Naveen Krishnakumar (Grantham Mayo van Otterloo)
  • Subhadeep Mitra (Two Sigma Investments)

Undergraduate Students

  • Erick Fuentes (Fitbit)
  • George Hansel (Google)
  • Savithru Jayasinghe (Cambridge University)
  • Hadi Kasab (American University of Beirut)
  • Tomas Kogan (Cambridge University)
  • Michael Lieu (Aurora Flight Sciences)
  • Kevin Lim (Princeton University, Economics)
  • Ali Saab (American University of Beirut)
  • Yair Shenfeld (Princeton University, ORFE)