Ajinkya Kokandakar
Graduate Student (Ph.D. Statistics)
The University of Wisconsin - Madison
ajinkya@stat.wisc.edu

I am a Ph.D. student in the Department of Statistics at The University of Wisconsin—Madison advised by Dr. Sameer Deshpande. I am pursuing research in causal inference, machine learning and decision-making. Currently, my work focuses on heterogeneous treatment effect estimation, and causal inference for social networks. Prior to joining UW—Madison, I graduated with a MS in Economics and Computation at Duke University (2020). I got my undergraduate dual-degree in Computer Science and Economics from Birla Institute of Technology and Science, Pilani in India.

Preprints

Pre-analysis protocol for an observational study on the effects of adolescent sports participation on health in early adulthood (Nov 2022)
Ajinkya H. Kokandakar, Yuzhou Lin, Steven Jin, Jordan Weiss, Amanda R. Rabinowitz, Reuben A. Buford May, Sameer K. Deshpande, Dylan Small
arXiv:2211.02104
[preprint] [code]

Publications

Ajinkya H. Kokandakar, Hyunseung Kang, Sameer K. Deshpande, (2023). “Bayesian causal forests and the 2022 ACIC Data Challenge: scalability and sensitivity.” Observational Studies, 9(3), 29-41.
[paper] [preprint] [code]

Jagat Sesh Challa, Poonam Goyal, Ajinkya Kokandakar, Dhananjay Mantri, Pranet Verma, Sundar Balasubramaniam & Navneet Goyal (2022). “Anytime clustering of data streams while handling noise and concept drift.” Journal of Experimental & Theoretical Artificial Intelligence, 34(3), 399-429, DOI: 10.1080/0952813X.2021.1882001
[paper]

Research Experience

University of Wisconsin – Madison
Research Assistant

Duke University
Research Assistant

Birla Institute of Technology and Science, Pilani

Teaching Experience

University of Wisconsin – Madison
Teaching Assistant, Department of Statistics

  • STAT 240: Data Science Modeling I (Fall 2022)
  • STAT 371: Introductory Applied Statistics for the Life Sciences (Spring 2022)

Duke University
Teaching Assistant, Department of Computer Science

  • COMPSCI 370: Introduction to Artificial Intelligence (Spring 2020)
  • COMPSCI 201: Algorithms and Data Structures (Spring 2019)

Birla Institute of Technology and Science, Pilani
Undergraduate Teaching Assistant

  • ECON F211: Principles of Economics
  • ECON F212: Fundamentals of Finance and Accounting
  • ECON F412: Securities Analysis and Portfolio Management
  • CS F211: Data Structures and Algorithms