Saksham Jain

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I am a third-year Ph.D. student in the Department of Statistics at the University of Washington, where I am advised by Alex Luedtke and Lalit Jain. Before coming to UW, I completed my M.S. in electrical and computer engineering at Duke University, advised by Cynthia Rudin, Sudeepa Roy, and Alex Volfovsky. Prior to that, I received my B.E. in manufacturing processes and automation from the University of Delhi, India, where I was advised by Umang Soni.

My research centers on machine learning and causal inference. Currently, I’m working on conditional distributional treatment effects, and on adaptive design of instrumental variables.

news

Jan 18, 2024 Paper based on Master’s project selected as an oral at AAAI-24
May 25, 2023 Bachelor’s thesis published in the Journal Intelligent Manufacturing crosses 100 citations
Sep 22, 2022 Awarded the Coursera Department Fellowship for outstanding promise for graduate work at UW Seattle

selected publications

  1. AAAI-24
    Evaluating Pre-Trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference
    Saksham Jain*, Travis Seale-Carlisle* , Courtney Lee , and 6 more authors
    AAAI-24, 2024
  2. NeurIPS-22 WS
    Closing the domain gap: blended synthetic imagery for climate object detection
    Caleb Kornfein , Saksham Jain*, Frank Willard* , and 5 more authors
    Environmental Data Science, 2023
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    Synthetic data augmentation for surface defect detection and classification using deep learning
    Saksham Jain, Gautam Seth , Arpit Paruthi , and 2 more authors
    Journal of Intelligent Manufacturing, 2022
  4. IEEE TPAMI
    Mining data impressions from deep models as substitute for the unavailable training data
    Gaurav Kumar Nayak , Konda Reddy Mopuri , Saksham Jain, and 1 more author
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021