PhD student in Physics at New York University.


About Me

Quick Bio

I graduated from Stanford University with a B.S. with Honors in Physics and a minor in Computer Science with a focus on Machine Learning. My undergraduate research was conducted with Professor Risa Wechsler studying large scale structure formation using dark matter N-body simulations. After Stanford, I spent a year working at ETH Zurich as an Assistant Researcher to Professor Alexandre Refregier.  In Zurich I worked on developing a pipeline for image analysis for the Dark Energy Survey.  I began my doctoral studies at New York University in 2017 working with Professor Maryam Modjaz studying the explosions of massive stars.

My Skillset

  • Programming
    • Python, C, C++, Java, Matlab
  • Machine Learning and Data Analysis
    • Dimension Reduction, Supervised and Unsupervised Classification, Neural Networks.
  • Statistical Analysis
    • Bayesian Inference
  • Teaching
    • Experienced TA at intro undergrad, advanced undergrad, and graduate course levels.
    • Curriculum designer and Instructor for student taught course PHYS91si at Stanford University.

My Hobbies

  • Chess -- I've played since I was 6 years old. Favorite openings are the English, Queens Gambit, Budapest Gambit, Sicilian Dragon.
  • Fantasy fiction -- Rothfuss, Tolkien, Eddings, Le Guin, Pullman, Gaiman


Resume_MW (pdf)