My research develops AI methods across machine learning, optimization, and causal inference for planetary health challenges, particularly to address environmental challenges such as biodiversity conservation. I am the Sun-Wu Assistant Professor at Columbia University, in the department of Industrial Engineering and Operations Research, and with an affiliation in Computer Science.

Previously, I was a postdoc at the University of Oxford with the Leverhulme Centre for Nature Recovery, working with Alex Teytelboym, and received my PhD in computer science from Harvard University, advised by Milind Tambe.

I co-direct the EAAMO research initiative, which advances computational techniques to improve access to opportunity for historically marginalized communities. Additionally, I partner closely with NGOs to bridge research and practice, serving as AI Lead for the SMART Partnership, where I help build computational and research solutions for effective conservation management and as scientific advisor for INVERSA.