A downloadable version of my CV can be found here.
Education
Massachusetts Institute of Technology
Ph.D. in Aerospace Engineering and Computation (2021 – )
S.M. in Aeronautics and Astronautics (2019 – 2021)
2019 – Present
University of Toronto
B.ASc. in Engineering Science
2015 – 2019
Experience
Massachusetts Institute of Technology
Research Assistant, Uncertainty Quantification Group
Cambridge, MA
2020 – Present
NASA Jet Propulsion Laboratory
Visiting Student Researcher, Uncertainty Quantification and Statistical Analysis Group
Pasadena, CA
Summer 2023
SI Analytics
Summer Intern, Research Division
Daejeon, South Korea
Summer 2022
University of Michigan
Research Assistant, MDO Lab
Ann Arbor, MI
Summer 2018
German Aerospace Center (DLR)
Research Intern, Institute of Propulsion Technology
Berlin, Germany
Summer 2017
University of Toronto Institute for Aerospace Studies (UTIAS)
Research Assistant, Flow Control and Experimental Turbulence Lab
Toronto, Canada
Summer 2016
Teaching (TA)
16.09 Statistics and Probability, MIT
Introduction to statistics and probability with applications to aerospace engineering
Rating: 6.2 / 7
Spring 2022
16.100 Aerodynamics, MIT
Fluid mechanic concepts and aerodynamic performance of wings and bodies in sub/supersonic regimes
Rating: 6.6 / 7
Fall 2019
MAT186 Calculus II, U of T
Spring 2019
MAT187 Calculus I, U of T
Fall 2018
Publications and Talks
K. Leung, Y. Marzouk. “A scalable Bayesian framework for spatiotemporal imaging spectroscopy.” SIAM UQ, March 2024.
K. Leung, J. Jagalur-Mohan, D. Thompson, A. Braverman, J. Susiluoto, O. Lamminpää, V. Natraj, J. Hobbs, Y. Marzouk. “Accelerating Bayesian computation in remote sensing problems.” SIAM UQ, March 2022.
K. Leung, J. Jagalur-Mohan, D. Thompson, A. Braverman, V. Natraj. Y. Marzouk. “Data compression and multi-fidelity modeling for Bayesian inverse problems in Earth remote sensing.” SIAM CSE, March 2021.
K. Leung, J. Jagalur-Mohan, D. Thompson, A. Braverman, V. Natraj. Y. Marzouk. “Accelerated Bayesian computation for global imaging spectroscopy.” (Poster session). AGU Fall Meeting, December 2020.