Nicholas Renegar, PhD

I am Director of Quantitative Strategies at Birchview Capital LP, where I design and manage systematic healthcare-focused investment strategies. I also run Renegar Analytics, LLC, an independent consulting practice spanning biotechnology, sustainability, and applied machine learning. My research and professional interests include quantitative finance, AI, machine learning, and game theory.

I received my Ph.D. in Operations Research from MIT's Sloan School of Management, where I was advised by Professor Retsef Levi. During my Ph.D., I was a member of MIT’s Operations Research Center, as well as MIT’s Food Supply Chain Analytics and Sensing (FSAS) Initiative. My thesis developed predictive analytics and AI to guide food safety policy in the US and China, and machine learning methods for product and process development in biotechnology. Previously, I held roles in biotech and healthcare analytics, including as Director of Business Analytics & Operations at Yield10 Bioscience.

Boston, MA
Contact: nicholas(dot)renegar📧gmail.com | GitHub

Experience

Birchview Capital, LP

Director of Quantitative Strategies (Feb '25 — )
Quantitative Researcher (May '24 — Jan '25)

Massachusetts Institute of Technology

Research Affiliate (Jun '23 — Jan '25)

Renegar Analytics, LLC

Principal (Jun '23 — Jan '25)

Yield10 Bioscience

Director, Business Analytics & Operations (Jun '21 —May '23)
Business development, business analytics, data science, and supply chain development

Massachusetts Institute of Technology

Research & Teaching Assistant (Sep '16 — Jun '21)
Research: Predictive Analytics and Machine Learning for the Risk-Based Management of Agricultural Supply Chains
Teaching: MBA and executive MBA courses at MIT's Sloan School of Management, including operations and risk management.

Google

PhD Research Intern (Jun '19 — Aug '19)
Mechanism design and auction theory for Google Search ads.

Education

Massachusetts Institute of Technology

Ph.D., Operations Research (Sep '16 — Jun '21)
GPA: 5.0/5.0

Cornell University

B.A. & B.Sc. (Dual Degree Program) Mathematics, Operations Research (Sep '06 — May '10)
Magna Cum Laude

Selected Publications

Machine Learning for the Discovery of Molecular Recognition Based on Single-Walled Carbon Nanotube Corona-Phases
X. Gong*, N. Renegar*, R. Levi, and M. Strano
npj Computational Materials, Jun. 2022.
[Nature]

Testing at the Source: Analytics-Enabled Risk-Based Sampling of Food Supply Chains in China
C. Jin, R. Levi, Q. Liang, N. Renegar*, S. Springs, J. Zhou, and W. Zhou
Management Science, Jan. 2021.
[INFORMS]

The Second-Price Knapsack Problem: Near-Optimal Real Time Bidding in Internet Advertisement
J. Amar*, N. Renegar*.
MIT ORC Best Student Paper Award, 2020.
[arXiv]

See Google Scholar for other references.
Most papers use alphabetical ordering - asterix indicates "first" author.