Junzhe Zhang

Junzhe Zhang is an Assistant Professor at Syracuse University. His research focuses on causal inference, reinforcement learning, fairness analysis, and generative models, with an emphasis on robust decision-making under distribution shifts and ethical AI systems.

Research Interests:
He explores causal effects of interventions from biased data, robust counterfactual claims, off-policy learning, and integrating fairness into AI systems. His work addresses challenges like confounding bias, selection bias, and external validity.

Publications Trends:
His articles span causal imitation learning, reinforcement learning in dynamic treatment regimes, fairness audits, and transfer learning in multi-armed bandits. These reflect a strong focus on causal mechanisms and their applications in AI decision systems.

Advising & Grants:
No formal advisees or grants were explicitly listed in the provided text, though collaborations with Elias Bareinboim are evident across multiple publications.