Skip to content
Amartya Banerjee

Amartya Banerjee

PhD Student, University of North Carolina, Chapel Hill

I am a PhD student in the Department of Computer Science at UNC, Chapel Hill. I am extremely fortunate to be advised by Prof. Harlin Lee and Prof. Caroline Moosmueller. I am also a member of Geometric Data Analysis @ UNC. Broadly, my research interests revolve around problems in Optimal Transport and Machine Learning.

Prior to joining my PhD, I graduated with a double major in Mathematics and Computer Science from the University of Maryland, College Park followed by a Master's in Computer Science, also from UMD.

Fun Fact: I have an Erdos number of 3.

Portrait of Amartya Banerjee

News & Activities

  • [May 2025]: Interning at Amazon (Prime Video & Studios CoreTech Team) over summer
  • [Feb 2025]: Columbia University Optimal Transport and Statistics Workshop Travel Award
  • [Jan 2025]: Invited Talk at IIT Bombay
  • [Dec 2024]: First Place in Poster & Short Talks Competition at Data Science Week, Purdue University
  • [Oct 2024]: Our work on trajectory inference was covered by SIAM News
  • [Oct 2024]: Poster presentation prize at SDSS Data Science Day
  • [Aug 2024]: SIAM MDS24 Travel Award
  • [Nov 2023]: TriCAMS at Duke University

Research

Professional Experience

Amazon, Seattle

Applied Scientist (Prime Video & Studios CoreTech), Summer 2025

Topic: Causal Inference and Reinforcement Learning

Carnegie Mellon University, Pittsburgh

Visiting Researcher, Summer 2024

Topic: Diffusion Models and Inverse Problems

Howso (Formerly Diveplane)

Research Intern, Summer 2023

Topic: Anomaly Detection

Selected Awards

Columbia University Optimal Transport and Statistics Workshop Travel Award (2025)

First Place in Poster & Short Talks Competition at Data Science Week, Purdue University (2024)

SDSS Data Science Day Poster Presentation Prize (2024)

SIAM MDS24 Travel Award (2024)

John D. Gannon Endowed Scholarship (2018)

Miscellaneous

  • Reviewer: NeurIPS 2025, CAMSAP 2025, Learning on Graphs (LoG) 2025
  • Teaching Recitations: DATA110 Introduction to Data Science (AY 2024, 2025)
    • Serving as Head TA, leading recitation sections and overseeing a team of undergraduate and graduate teaching assistants.
    • Assisting in course management: Coordinating grading logistics, student support, office hours scheduling, and providing feedback to students on coursework & class projects.
  • Memberships: SIAM Graduate Student Chapter, UNC Chapel Hill