A human hand and a robotic hand reaching toward each other, echoing Michelangelo’s Creation of Adam

Human-AI Operations Lab

We study how humans and AI can collaborate to make better innovation and operations decisions, pairing generative AI and machine learning with optimization, field experiments, and a focus on real-world impact.

Léonard Boussioux

Léonard Boussioux

Lab director · Assistant Professor, UW Foster School of Business

Adjunct in the Allen School of Computer Science & Engineering and affiliate of Harvard LISH. The lab brings together students across operations, computer science, and analytics to ask where human and machine judgment beat either one alone.

About Léonard Research Interested in joining the lab? Read this

PhD students

Rebekah Baik

Rebekah Baik

PhD · Information Systems

AI influence and trust in high-stakes human decisions.

Co-advised with Leela Nageswaran

Caitlin Cunningham

Caitlin Cunningham

PhD · Information Systems

How AI influences human judgment in ethical decision-making.

Co-advised with Leela Nageswaran

Sanchita Das

Sanchita Das

PhD · Operations Management

Operations management and human–AI decision-making in service systems.

Co-advised with Masha Shunko

Reuben Narad

Reuben Narad

PhD · Operations Management

Deep reinforcement learning and mechanistic interpretability for neural combinatorial optimization.

Co-advised with Michael Wagner

Ryne Reger

Ryne Reger

PhD · Operations Research (MIT)

Optimization and machine learning for operations and decision-making.

Co-advised with Alexandre Jacquillat

Jingyi Xu

Jingyi Xu

PhD student

Generative AI and human–AI collaboration for operations and decision-making.

Co-advised with Shan Liu

HM

Henry Mao

PhD · Operations Management

Robust optimization and time series forecasting.

Master's students & researchers

Archit Gupta

Archit Gupta

MS · Business Analytics

Applied AI and analytics for operations.

Erwin Deng

Erwin Deng

Researcher · MIT

Machine learning for climate resilience and operations.

Co-advised with Alexandre Jacquillat

Parham Hajzavar

Parham Hajzavar

Ephrem Tilahun

Ephrem Tilahun

Sasha Huang

Sasha Huang

Researcher

PhD alumni

Yinsheng Wang

Yinsheng Wang

PhD · Industrial & Systems Engineering

Machine learning and operations for healthcare and risk.

Placement · Oracle

Co-advised with Shan Liu

Master's alumni

Charles Kantor

Charles Kantor

Conservation AI · computer vision

Deep learning for wildlife monitoring and ecosystem conservation.

Placement · Stanford · co-founder of H

Co-advised with Hugues Talbot (CentraleSupélec)

Divyam Agrawal

Divyam Agrawal

Placement · Apple

Camila Lin

Camila Lin

MS · Information Systems

Built the experimental backbone for the human–AI innovation field experiments (Narrative AI).

Placement · Microsoft

Andrew (Hongyu) Chen

Andrew (Hongyu) Chen

Human–AI collaboration · LLMs

LLM agents for supply-chain decisions — Socratic iterative reasoning on the Beer Game.

Placement · PhD student · University of Florida

Co-advised with Ming Fan & Apurva Jain

Amy (Pei-Hsin) Wang

Amy (Pei-Hsin) Wang

Graduate researcher

Experimental platforms for human–AI evaluation of ideas in the Narrative AI studies.

Placement · Accenture

Ian Chen

Ian Chen

Graduate researcher

Human–AI collaboration in innovation and crowdsourcing — Narrative AI field experiments.

Placement · NVIDIA

Benjamin Rio

Benjamin Rio

Placement · PhD student · University of Geneva