Machine Learning, Dynamical Systems and Control

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FACULTY

 

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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

 

 

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Steven L. Brunton, Associate Director
James Morrison Professor

Website: [ VIEW ]

Department of Mechanical Engineering, Applied Mathematics & eScience Institute

 

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

 

 

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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

 

 

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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

 

 

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Maryam Fazel
Moorthy Family Professor

Website: [ VIEW ]

Department of Electrical Engineering, Mathematics, Statistics and Computer Science

 

Research: Data science, optimization, robotics and control

 

 

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Daniela Witten
Dorothy Gilford Endowed Chair of Mathematical Statistics

Website: [ VIEW ]

Department of Biostatistics & Statistics

 

Research: Statistical learning, optimization, high-dimensional data

 

 

STAFF

 

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Lauren Lederer
Managing Director
Website: [ VIEW ]

 

 

 

VISITING FACULTY

 

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Cassio Oishi (Professor, San Paolo State University, Brazil)

 

Fall 2022 — Summer 2023

 

POSTDOCTORAL FELLOWS

 

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Anastasia Bizyaeva (2022-present)

 

Research Area: Dynamical Systems and Control, Collective Behaviors

PhD 2022 - Mechanical and Aerospace Engineering - Princeton University (Advisor - Naomi Leonard)
Thesis - Nonlinear dynamics of multi-agent multi-opinion belief and opinion formation

 

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Andrei Klishin (2022-present)

 

Research Area: Dynamical Systems, Networks, Systems

PhD 2020 - Physics - University of Michigan (Advisor - Greg van Anders)
Thesis - Statistical physics of design

 

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Samuel Otto (2022-present)

 

Research Area: Dynamical Systems, Data-driven modeling

PhD 2022 - Mechanical and Aerospace Engineering - Princeton University (Advisor - Clancy Rowley)
Thesis - Advances in data-driven modeling and sensing for high-dimensional nonlinear systems

 

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Prerna Patil (2022-present)

 

Research Area: Uncertainty Quantification, Model Reduction

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

 

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Doris Voina (2022-present)

 

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

 

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Joe Bakarji (2020-present)

 

Research Area: Stochastic and Multiscale Modeling

PhD 2020 - Mechanical Engineering - Stanford University (Advisor - Daniel Tartakovsky)
Thesis - Stochastic multiscale modeling of complex materials

 

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Ryan Raut (2021-present)

 

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

 

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Urban Fasel (2021-2022)

 

Research Area: Data-Driven Modeling

PhD 2020 - Mechanical Engineering - ETH Zurich (Advisor - P. Ermanni)
Thesis - Reduced-order aeroelastic modeling of morphing wings for optimization and control

 

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Shaowu Pan (2021-2022)

 

Research Area: Deep Learning and Reduced Order Models

PhD 2020 - Aerospace Engineering - Michigan (Advisor - Karthik Duraisamy)
Thesis - Robust and interpretable learning for operator-theoretic modeling of nonlinear dynamics

 

ADDITIONAL MEMBERS

 

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Mel Mashiku

 

Research Scientist/Engineer, January — September 2023

 

GRADUATE STUDENTS

 

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Nicholas Zolman (1st Year - ME)

 

PhD 2027 (Expected)
Research Area: Machine Learning for Physics and Engineering

 

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Jan Williams (1st Year - ME)

 

PhD 2027 (Expected)
Research Area: Optimization and Sensors

 

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Mars Gao (1st Year - CSE)

 

PhD 2024 (Expected)
Research Area: Machine learning and statistical learning

 

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Mike Wendels (2nd Year - AMATH)

 

PhD 2024 (Expected)
Research Area: Machine learning and statistical learning

 

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Yuxuan Bao (3rd Year - AMATH)

 

PhD 2025 (Expected)
Research Area: Machine learning and model discovery

 

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Olga Dorabiala (5th Year - AMATH)

 

PhD 2023 (Expected)
Research Area: Optimization and Sensors

 

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Jiazhong Mei (4th Year - AMATH)

 

PhD 2024 (Expected)
Research Area: Optimization and Sensors

 

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Joey Williams (4th Year - AMATH)

 

PhD 2024 (Expected)
Research Area: Fluids and Granular Materials

 

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Aleksei Sholokov (5th Year - AMATH)

 

PhD 2023 (Expected)
Research Area: Optimization and Machine Learning

 

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Jake Stevens-Haas (5th Year - AMATH with Sasha Aravkin)

 

PhD 2023 (Expected)
Research Area: Optimization and Machine Learning

 

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Yue Sun (PhD 2022 - ECE)

 

Thesis — Nonconvex Optimization and Model Representation with Applications in Control Theory and Machine Learning

 

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Isabel Scherl (PhD 2022 - ME)

 

Thesis — Experimental optimization, modeling and control of cross-flow turbine arrays

 

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Andy Goldschmidt (PhD 2022 - Physics)

 

Thesis — Data driven modeling and control of quantum dynamics

 

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Katherine Owens (PhD 2022 - AMATH)

 

Thesis — Life Together: Modeling the Collective Behavior of Cellular Communities

 

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Diya Sashidhar (PhD 2021 - AMATH)

 

Thesis — Data-driven methods for time series forecasting, classification and uncertainty quantification

 

GRADUATE STUDENT VISITORS

 

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Pauline Brumm (University of Darmstadt)

 

Fall 2022

 

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Gabriele Bufolo (University of Brasilia)

 

Fall 2022

 

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Paolo Conti (Milan Polytechnic)

 

Fall 2022 — Spring 2023

 

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Jonas Kneifl (University of Stuttgart)

 

Summer 2022 — Fall 2022

 

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Raphael Leitritz (University of Stuttgart)

 

Summer 2022

 

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Marco Pizzoli (University of Rome "La Sapienza")

 

Spring 2022 — Summer 2022

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