Shachi Deshpande (शची देशपांडे)
I am a PhD candidate in the Department of Computer Science at Cornell University. I am presently working at Cornell Tech in New York. I am advised by Prof. Volodymyr Kuleshov.
I am interested in causal machine learning and its applications to genome-wide association studies. I am developing novel generative architectures to incorporate rich, unstructured information in modern datasets within the framework of causal inference. I also work on calibration of uncertainty in probabilistic models and its applications to causal inference, deep learning and Bayesian optimization.
I graduated with Bachelors in Computer Science from Indian Institute of Technology, Bombay, where I worked on online query optimization in databases with Prof S. Sudarshan and on empirical evaluation of derivative clouds with Prof Umesh Bellur. I also worked with Prof Bernard Moret as a Summer@EPFL scholar.
Please reach out if you are an undergraduate or masters student at Cornell and are interested in collaborating!
News
Apr 22, 2023 | Summer internship at Microsoft Research, Redmond! |
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Dec 1, 2022 | Presented our work at NeurIPS 2022 |
Aug 31, 2022 | Completed A-exam and awarded MS in Computer Science! |
Jul 18, 2022 | Presented our work at ICML 2022 |
May 22, 2022 | Summer internship at Amazon Robotics, Boston |