Welcome everyone!
I am a second year PhD student studying machine learning at MIT, working in the department of Electrical Engineering and Computer Science with Professor Tamara Broderick!
Before coming to MIT, I did my undergrad at Duke University, where I worked with Jason Xu, David Dunson, Cynthia Rudin, and Rick Durrett. Before Duke, I went to the NC School of Science and Math, where I developed my love for all things STEM.
In my free time, I enjoy dance (hip-hop, swing, ballet), volleyball, and poetry!
Interests
- Bayesian Inference
- Robust ML
- Epidemic Modeling
- Causal Inference
Education
PhD in Electrical Engineering and Computer Science (in progress)
Massachusetts Institute of Technology
BSc in Statistical Science, 2023
Duke University
BSc in Computer Science, 2023
Duke University
Publications
(2023).
Fitting a stochastic model of intensive care occupancy to noisy hospitalization time series during the COVID-19 pandemic.
StatMed.
(2022).
Moving towards a more equal world, one ride at a time: Studying Public Transportation Initiatives using interpretable causal inference.
NeurIPS-22.
(2022).
Selective sweeps in SARS-CoV-2 variant competition.
Proceedings of the National Academy of Sciences.
Experience
Communication Fellow
Massachusetts Institute of Technology
Coaching MIT students on their communication abilities in scientific writing, talks, and posters.
Teaching Assistant
Duke University
Three terms of teaching assistant for Intro to Data Science (STA199) and Mathematical Statistics (STA432).
Data Scientist
Emergo Therapeutics
Analyzed clinical trial data, contributing insights guiding Emergo’s decision-making process in clinical trials.
Intern
Lenovo
Skills
Python + PyTorch
4 years experience
R
4 years experience
LaTeX
4 years experience