Research

Founder & CEO, Doogooda · Harvard PhD · Former faculty (Operations/Tech)

I study how institutions make decisions under uncertainty—and I build the systems that make those decisions auditable.

My work bridges decision science and deployment, focusing on auditable decision systems for regulated operations in healthcare, public policy, and AI governance. The research behind Doogooda's products—Entity Flow and Entity Value—is grounded in this work.

Method: Causal inference → scenario simulation → constrained optimization → auditable decision artifacts.

Affiliation & Background

Healthcare Operations · Management Science · 2023

The Impact of Vertical Integration on Healthcare Delivery

How physician–hospital integration affects care quality and costs. Using US Medicare claims data to study market structure effects on hospital behavior. With Saghafian, Newhouse, Landrum, and Hsu.

🏆 POMS Healthcare Operations Best Paper Award (1st Place)

Healthcare Operations · Production and Operations Management · 2024

Facility Closure Decisions Under Regulatory Constraints: A Causal Inference Approach

How to structure facility closure decisions when regulatory constraints bind. Framework adopted by US academic medical centers.

Healthcare Policy · Harvard PhD Dissertation · 2020

Causal Inference for Healthcare Operations Under Policy Constraints

Methodological framework for decision-making in regulated healthcare contexts.

💰 AHRQ R36 Dissertation Grant (Principal Investigator)

Frameworks and analysis connecting research to practice.

Decision-making under uncertainty

Trade-offs, governance, and how to structure choices when outcomes are unknowable.

From dashboards to decisions

How to operationalize "what to do" instead of "what happened."

US–Korea institutional comparison

What transfers, what doesn't, and why context matters for policy.

Elections as decision systems

Uncertainty, causal claims, and governance frameworks for electoral and policy interpretation.

Academic Background

Harvard PhD (Decision Science, Health Policy) · Yale MA (Statistics) · Caltech BS (Applied Math)

Affiliations: Visiting Researcher, Seoul National University Cognitive AI Lab · Former Assistant Professor, UCL School of Management