I am an academic researcher at the intersection of optimization, machine learning, and causal inference. I develop and implement AI tools to create demonstratable and robust social impact.

Introduction

I am an Assistant Professor in the Technology and Operations Management Unit at Harvard Business School, where I research and teach at the intersection of data, algorithms, and real-world decision-making. I co-lead the Data Science & AI Operations Lab at the D3 Institute and am a Faculty Affiliate of the Harvard Data Science Initiative.

I also serve as the co-Director of the Computational Healthcare Analytics Program at the Boston Children's Hospital and the Chief Data Scientist at Waffle Labs.

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My Research Philosophy

AI is increasingly transforming our daily lives, from helping us write essays to recommending music. But its potential extends far beyond routine tasks. In high-stakes domains such as healthcare, public policy, drug development, and criminal justice, AI can guide some of society’s most consequential decisions. Realizing this potential could improve lives at scale and shape the future of human well-being.

My research focuses on the challenges that must be addressed to deploy AI effectively in these settings. I pursue two main lines of work:

1) Context-aware Decision-Making Algorithms: Real-world decisions often unfold within complex systems. They are embedded in long workflows, affected by complex physical dynamics, or made in coordination with human judgment. I develop algorithms that explicitly model both human and physical dynamics to produce decisions that are robust, implementable, and aligned with real-world environments.

2) Evaluation Frameworks for AI/ML: In high-stakes applications, strong algorithms are not sufficient. It is critical to evaluate how they perform under realistic deployment conditions. I design statistical frameworks that offer rigorous guarantees while reflecting practical constraints. These tools help regulators and practitioners assess safety, equity, and long-term impact both before and after deployment.

Much of my academic collaborations have focused on healthcare and life sciences, but I have also collaborated with organizations across sectors such as supply chain management and insurance. Across domains, I aim to ensure that AI systems are not only technically sound but also trustworthy and usable in practice.

My Personal Philosophy