معرفی
Karun Adusumilli is an Assistant Professor of Economics at the University of Pennsylvania, affiliated with the Department of Economics within the School of Arts and Sciences. He holds a PhD from the London School of Economics (2018), an MSc in Econometrics and Mathematical Economics (2013), and a B.Tech in Engineering Physics from the Indian Institute of Technology, Delhi (2011). His research focuses on advanced econometric methodologies, including causal inference, missing data analysis, dynamic treatment allocation, and reinforcement learning applications in economics.
- Education:
- PhD in Economics, LSE (2018)
- MSc Econometrics and Mathematical Economics, LSE (2013)
- B.Tech in Engineering Physics, IIT Delhi (2011)
Adusumilli’s research interests span Econometrics, Causal Inference, Dynamic Treatment Regimes, and Statistical Learning. He has pioneered work on optimal policy design in bandit experiments, minimax allocation strategies, and addressing unobserved heterogeneity in econometric models. His contributions bridge theoretical econometrics with practical applications in healthcare, education policy, and sequential decision-making frameworks.
He has received notable awards, including the Kravis Award for Teaching Excellence (2021) and the John Hicks Prize for his doctoral research (2019). His publications appear in top-tier journals like Econometrica and Review of Economic Studies.
Adusumilli teaches graduate and undergraduate courses in econometrics and statistical learning, including Econometrics I and Econometric Machine Learning. He has served on scientific committees for major conferences such as the NBER-NSF Time Series Conference and the AEA-ASSA Annual Meetings.
