Ipsita Ghosh

ML Researcher • Optimization • Low-Rank Learning

Professional Experience

Summer Research Intern

Rutgers University (DIMACS)

May – August 2025

Worked with Dr. Arunesh Sinha on low-rank optimization in reinforcement learning from human feedback (RLHF) and robust game theory applications.

Engineer, Data Scientist

Micron Technology

May 2021 – June 2023
  • Accelerated manufacturing systems with data-driven and model-driven solutions
  • Developed solutions using Online Change Point Detection for anomaly detection
  • Implemented Bayesian Optimization for system parameter tuning
  • Applied Self-Supervised Representation Learning for feature extraction from sensor data

Data Science Intern

Haber

August – November 2020

Developed Bayesian Optimization and Deep Learning solutions for manufacturing optimization problems.

Data Science Intern

Hopstack

June – August 2020
  • Developed Deep Learning models for position estimation from IMU sensors
  • Performed location analysis from smartphone sensor data

Education

PhD in Computer Science

University of Central Florida

2025 – Present

PhD in Computer Science (transferred)

University of North Carolina at Charlotte

2023 – 2025

M.Sc. in Data Science

Chennai Mathematical Institute

2021

M.Sc. in Mathematics

University of Delhi

2018

B.Sc. in Mathematics

St. Xavier's College, Kolkata

2016

Professional Service

Reviewer

NeurIPS 2025

Teaching Assistant

Machine Learning, Spring 2024