2023–present
Columbia University
Ph.D. in Computer Science
Advised by David Blei. Research in natural language processing, mechanistic interpretability, and probabilistic modeling.
Background
2023–present
Ph.D. in Computer Science
Advised by David Blei. Research in natural language processing, mechanistic interpretability, and probabilistic modeling.
2023–2026
M.S. in Computer Science
2016–2020
B.S. in Computer Science; minor in Entrepreneurship
Research advisor: Mohit Bansal. Phi Beta Kappa, Sigma Xi, and Honors Carolina.
March 2025–present
Graduate Student Researcher
Working on improving LLM performance and alignment through a variety of projects in collaboration with LANL scientists and mentors.
May–August 2024
Machine Learning Data Science Ph.D. Intern
Evaluated text encoders for call-transcript summarization and similarity search, and developed an evaluation framework with Kubeflow Pipelines.
October 2020–July 2023
Applied ML Research Engineer
Worked on generative AI safety, Bayesian modeling, and causal inference; led engineering projects and mentored research interns.
January–May 2019
Applied Machine Learning Intern
Developed recurrent survival models and advertiser-signal features to study business and advertiser retention.
September 2018–September 2019
Research Mentee
Nominated through WiNLP and mentored by Been Kim on interpretability and democratizing deep learning models.
August–December 2018
Emerging Technologies Intern
Worked on extracting themes from SMS data, automating responses, and applying machine learning to audience analysis.
May–August 2018
Deep Learning and AI Intern
Explored generative adversarial networks for satellite-image training data and reviewed neural computer-vision methods.
August 2017–May 2018
Research Assistant
Conducted deep learning and natural-language-processing research with Mohit Bansal, including language analysis and interpretation of neural classifiers.
Fall 2024
Teaching Assistant
Frontiers of Machine Learning (COMS 6998), taught by Carl Vondrick.
June–November 2020
Bluebonnet Data
Volunteered as a data scientist supporting state-level Democratic campaigns.
August 2018–August 2019
Rewriting the Code
Organized webinars and programs, mentored peers, and shared resources to encourage socially useful technology.
January–May 2018
Chancellor’s Science Scholars
Coordinated community service activities for the Chancellor’s Science Scholars program.
August 2016–May 2018
Outreach360
Tutored and mentored Burmese refugees in math and English in the Chapel Hill and Carrboro area.
February 2014–August 2017
Club Luminous
Founded and led a community outreach program introducing elementary and middle school students to STEM.
October 2016–May 2017
University of North Carolina at Chapel Hill
Organized maker projects and year-long capstone builds with the UNC Makerspace.
Explore publications and research materials, or see fellowships, honors, and features.