Background

Curriculum vitae

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Education

2023–present

Columbia University

Ph.D. in Computer Science

Advised by David Blei. Research in natural language processing, mechanistic interpretability, and probabilistic modeling.

2023–2026

Columbia University

M.S. in Computer Science

2016–2020

University of North Carolina at Chapel Hill

B.S. in Computer Science; minor in Entrepreneurship

Research advisor: Mohit Bansal. Phi Beta Kappa, Sigma Xi, and Honors Carolina.

Selected experience

March 2025–present

Los Alamos National Laboratory (LANL)

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

Capital One

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

Meta

Applied ML Research Engineer

Worked on generative AI safety, Bayesian modeling, and causal inference; led engineering projects and mentored research interns.

January–May 2019

Yelp

Applied Machine Learning Intern

Developed recurrent survival models and advertiser-signal features to study business and advertiser retention.

September 2018–September 2019

Google AI Research Mentoring Program

Research Mentee

Nominated through WiNLP and mentored by Been Kim on interpretability and democratizing deep learning models.

August–December 2018

The Walt Disney Company

Emerging Technologies Intern

Worked on extracting themes from SMS data, automating responses, and applying machine learning to audience analysis.

May–August 2018

MITRE Corporation

Deep Learning and AI Intern

Explored generative adversarial networks for satellite-image training data and reviewed neural computer-vision methods.

August 2017–May 2018

University of North Carolina at Chapel Hill

Research Assistant

Conducted deep learning and natural-language-processing research with Mohit Bansal, including language analysis and interpretation of neural classifiers.

Teaching

Fall 2024

Columbia University

Teaching Assistant

Frontiers of Machine Learning (COMS 6998), taught by Carl Vondrick.

Service and Volunteering

June–November 2020

Data Science Fellow

Bluebonnet Data

Volunteered as a data scientist supporting state-level Democratic campaigns.

August 2018–August 2019

Co-Leader, Tech for Social Good Affinity Group

Rewriting the Code

Organized webinars and programs, mentored peers, and shared resources to encourage socially useful technology.

January–May 2018

Outreach and Community Service Chair

Chancellor’s Science Scholars

Coordinated community service activities for the Chancellor’s Science Scholars program.

August 2016–May 2018

Mentor

Outreach360

Tutored and mentored Burmese refugees in math and English in the Chapel Hill and Carrboro area.

February 2014–August 2017

Founder and President

Club Luminous

Founded and led a community outreach program introducing elementary and middle school students to STEM.

October 2016–May 2017

Executive Board, Maker-in-Residence Committee

University of North Carolina at Chapel Hill

Organized maker projects and year-long capstone builds with the UNC Makerspace.

Publications & recognition

Explore publications and research materials, or see fellowships, honors, and features.