cv

Academic Interests

  • Causal Data Science
    • Developing causal effect estimation frameworks in diverse and practical scenarios.
    • Adapting causal inference methods to handle complex data modalities.
    • Advancing trustworthy AI through causal reasoning.
    • Designing causal agents for end-to-end inference and decision-making.

Experience

2025-

Assistant Professor

School of Information Science, University of Illinois Urbana-Champaign (UIUC)

2021

Applied Scientist Intern

Amazon

Education

2018-2025

Ph.D. in Computer Science

Purdue University, West Lafayette, IN, USA

  • Advisor: Elias Bareinboim
  • Dissertation: Causal Data Science: Estimating Identifiable Causal Effects

Honors and Awards

2024
2024
  • Top 3 in my age group in 2024 Purdue Boilermaker Half-Marathon & 5k
2024
2024
  • Graduate Teaching Award, Purdue Computer Science
2023
2022