Ritwick Banerjee

Summary

Causal discovery in health informatics

• PhD student in Health Informatics (Data Science Track) at the University of Minnesota.
• Research: causal discovery methods and unbiased validation for observational health data.
• Strengths: simulation studies, scalable pipelines, and applied ML/NLP.

Education

PhD, Health Informatics (Data Science Track)

Institute of Health Informatics · University of Minnesota · Advisor: Dr. Erich Kummerfeld

• Excellence in Informatics Methods Innovation Distinguished Fellowship (5 years)

Sep 2025 – Present

Education

MS, Data Science

University of Minnesota · Minneapolis, MN · GPA 3.78/4.0

• Graduated Aug 2025
• Best Poster Award, Annual Data Science Poster Fair

Sep 2023 – Aug 2025

Publication

Resampling × causal discovery simulation study

arXiv:2503.15436 (2025)

• Banerjee, Andrews, Kummerfeld — extensive simulation study across multiple causal discovery contexts.

Read on arXiv

Industry

Associate Consultant (Project Lead)

KPMG · Gurugram, India

• Led analytics engagements spanning requirements, stakeholder communication, implementation, and delivery.

Jun 2021 – Aug 2023