J. Nathan Kutz, Director
Robert Bolles and Yasuko Endo Professor
Website: [ VIEW ]

Department of Applied Mathematics, Physics, Mechanical Engineering, Electrical Engineering & eScience Institute

Research: Data-driven modeling, dynamical systems & machine learning, optical and atomic physics, neuroscience

Steven L. Brunton, Associate Director
James B. Morrison Endowed Career Development Professor in Mechanical Engineering
Website: [ VIEW ]

Department of Mechanical Engineering, Applied Mathematics & eScience Institute

Research: Data-driven modeling, control theory, dynamical systems & machine learning, fluid dynamics and turbulence

Krithika Manohar, Thrust Lead: Sensing and Optimization
Assistant Professor
Website: [ VIEW ]

Department of Mechanical Engineering

Research: Data-driven modeling, sensors & sensor placement, dynamical systems & machine learning

David Beck
Research Associate Professor
Website: [ VIEW ]

Department of Chemical Engineering, Computer Science & eSciences Institute

Research: Data intensive biology and chemistry, data mining, open-source biological data

Maryam Fazel
Moorthy Family Professor
Website: [ VIEW ]

Department of Electrical Engineering, Mathematics, Statistics and Computer Science

Research: Data science, optimization, robotics and control

Daniela Witten
Dorothy Gilford Endowed Chair of Mathematical Statistics
Website: [ VIEW ]

Department of Biostatistics & Statistics

Research: Statistical learning, optimization, high-dimensional data

Lauren Lederer
Managing Director
LinkedIn Profile: [ VIEW ]

Research area: Dynamical systems working with Professor Steve Brunton

Research Area: Physics-informed machine learning working with Steve Brunton

Research Area: ML/AI working with Steve Brunton

Research Area: Uncertainty Quantification, Model Reduction

PhD 2022 - Mechanical Engineering - University of Pittsburgh (Advisor - Hessam Babaee)
Thesis - Real-time reduced order modeling of high-dimensional partial differential equations via time dependent subspaces

Research Area: Computational Neuroscience, Data-Driven Modeling

PhD 2022 - Applied Mathematics - Washington (Advisor - Eric Shea-Brown)
Thesis - A discovery of neural network architectures for context-dependent computations

PhD 2024 - Mechanical Engineering - Columbia University (Advisor - Hod Lipson)

Research Area: Neuroscience

PhD 2021 - Neuroscience - Washington University (Advisor - Marcus Raichle)
Thesis - On arousal and the internal regulation of brain function: theory and evidence across modalities and species

Research Scientist/Engineer, January 2023 — September 2024

Past Members

Fabio Amaral (VISIT student)
Joe Bakarji (Postdoctoral Scholar)
Anastasia Bizyaeva (Postdoctoral Scholar)
Pauline Brumm (VISIT student)
Gabriel Bufolo (VISIT student)
Paolo Conti (VISIT student)
Olga Dorabiala (PhD student, Postdoctoral Scholar)
Megan Ebers (PhD student, Postdoctoral Scholar)
Urban Fasel (Postdoctoral Scholar)
Emily B. Fox (Professor)
Andy Goldschmidt (PhD student)
Miranda Gong (BS student)
Max A. Grey (graduate student)
Mozes Jacobs (BS student)
Andrei Klishin (Postdoctoral Scholar)
Jonas Kneifl (VISIT student)
Henning Lange (Postdoctoral Scholar)
Raphael Leiteritz (visiting student)
David Li (Undergrad student)
Jiazhong (Frank) Mei (PhD student)
Katherine Owens (PhD student)
Cássio Machiaveli Oishi (visiting faculty)
Samuel Otto (Postdoctoral Scholar)
Shaowu Pan (Postdoctoral Scholar)
Mai Peng (BS student)
Marco Pizzoli (VISIT student)
Gonzalo Quinto (BS student)
Levi Rhoden (BS student)
Diya Sashidhar (PhD student)
Isabel Scherl (PhD student)
Utsav Seth (BS student)
Aleksei Sholokov (PhD student)
Yue Sun (PhD student)
Olivia Thomas (PhD student)
Vincent van Wynendaele (visiting student)
Simon Vanpaemel (Visiting (Postdoctoral Scholar))
Xiyi Wang (BS student)
Qichen Xu (BS student)
Lanyue (Olivia) Zhang (BS student)