UC Berkeley engineer and pharmacologist exploring data-driven healthcare.
UC Berkeley engineer and pharmacologist exploring data-driven healthcare.
Rim Hur – Author, Pharmacologist & Engineer
Rim Hur is a UC Berkeley–trained engineer and pharmacologist whose work bridges healthcare, data science, and machine learning. A former Genentech engineer and graduate researcher at UCSF, he integrates statistical and computational methods to improve clinical decision-making and hospital operations.
His peer-reviewed research spans machine learning and causal inference in clinical settings, including recent work published in Diabetology (2025) and Pharmacy (2024). He is currently developing follow-up studies applying advanced ML and causal-inference frameworks to optimize treatment strategies for oncology patients.
Rim is also the author of Living Large (Amazon, 2017/2025), a memoir and practical guide to resilience and resourcefulness. Beyond research, he writes on DecideYourAge.com, exploring longevity and reverse aging, and on Quora, where he shares reflections that connect science, medicine, and philosophy.
Hur R, Rushakoff R. Machine Learning for Causal Inference in Hospital Diabetes Care: TMLE Analysis of Selection Bias in Diabetic Foot Infection Treatment—A Cautionary Tale. Diabetology. 2025; 6(11):122.
Hur R, Golik S, She Y. Leveraging Large Data, Statistics, and Machine Learning to Predict the Emergence of Resistant E. coli Infections. Pharmacy. 2024; 12(2):53.