Bio

Education

• Ph.D. in Statistics, University of Washington, Seattle, Oct. 2020 – Present
• B.S. in Applied Mathematics, Engineering, and Physics, University of Wisconsin, Madison, Sep. 2016 – Jun. 2020

Research Experience

• Optimal, interpretable, and low dimensional embeddings of sampled manifolds from dictionary functions
  • March 2023 - Present
  • Supervisor: Marina Meila
• Hybrid canonical correlation analysis of Riemannian and high-dimensional data
  • May 2022 - Present
  • Supervisor: Eardi Lila
• Novel molecular dynamics enhanced sampling method: “Tangent Space Least Adaptive Clustering”
  • April 2021 - June 2021
  • Supervisors: Sam Koelle and Marina Meila
  • Link to workshop paper.
• Analysis of large amino-acid sequence data with Song and Raskutti’s PUlasso algorithm
  • May 2019 - January 2020
  • Supervisor: Garvesh Raskutti
• Finite element method simulation of PDEs via polynomialization and quadraticization
  • September 2017 - June 2018
  • Supervisor: Benjamin Peherstorfer
  • Technical Report
• Calculation of impedance of Josephson Junction transmission line
  • May 2017 - Aug. 2017
  • Supervisor: Robert McDermott
• Simulation and benchmarking of optimization algorithms
  • February 2017 - May 2017:
  • Supervisor: Ivan Pechenezhskiy

Skills

• Programming Languages
  • Python
  • R
  • Matlab
  • Java
  • Julia
  • LaTeX

• Linux (Ubuntu)

• Languages
  • English (Native)
  • Spanish (Advanced)
  • French (Basic)

Miscellaneous

Co-organizer of Geometric Data Analysis Reading Group. Link here

Thanks to Yikun Zhang for the website template.