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!