CV

PDF version here.

Education

• PhD in Aerospace Engineering, University of Michigan, 2023
• MSE in Aerospace Engineering, University of Michigan, 2023
• BE in Mechanical Engineering, Vanderbilt University, 2018

Work Experience

Postdoctoral Research Fellow

University of Michigan
Ann Arbor, MI
July 2023 – Present

Graduate Student Research Assistant

University of Michigan
Ann Arbor, MI
August 2018 – July 2023

R&D Graduate Summer Intern

Sandia National Laboratories
Livermore, CA
May 2022 – August 2022

Teaching Assistantships

University of Michigan – Ann Arbor, MI

• AEROSP 567: Statistical inference, estimation, and learning
  Fall 2020 and 2021

Vanderbilt University – Nashville, TN

• ME 4267: Aerospace propulsion
  Spring 2018
• ME 3224: Fluid mechanics
  Fall 2017

Selected Graduate Coursework

• EECS 550: Information theory
• MATH 590: An introduction to topology
• EECS 598: Randomized numerical linear algebra for machine learning
• MATH 551: Introduction to real analysis
• MATH 558: Applied nonlinear dynamics
• MATH 571: Numerical linear algebra
• MATH 525: Probability theory

Professional Memberships

• United States Association for Computational Mechanics (USACM)
  2021 – Present
• Society for Industrial and Applied Mathematics (SIAM)
  2021 – Present
• Institute of Electrical and Electronics Engineers (IEEE)
  2020 – Present

Reviews

• Journal of Aerospace Information Systems
• Journal of Machine Learning for Modeling and Computing
• IEEE Transactions on Automatic Control
• IEEE Conference on Decision and Control

Awards

• Michigan Institute for Computational Discovery and Engineering Fellowship 2021 – 2022