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I am a Senior ML Scientist at Genentech. I am interested in building models to predict cellular behaviour. I completed my PhD in Computer Science at Stanford University, working on single-cell epigenomics and deep learning models for chromatin accessibility in the lab of Anshul Kundaje. Previously, I have interned at Apple in the Siri team, and developed open-source implementations of interesting machine learning systems such as Alpha Zero and sequence GANs. I received my Bachelors in Electrical Engineering from IIT Delhi. |
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30 November 2023: I defended my PhD! I'm starting as a Senior ML Scientist at Genentech. [thesis] 21 October 2023: Our preprint on the single-cell dynamics of fibroblast reprogramming to iPSCs is out! [preprint] [tweetorial] [data] [browser] [talk] 24 July 2023: Talk at ISMB 2023 about the sensitivity of regulatory DNA models to spurious features [talk] 14 October 2022: dynseq is published in Nature Genetics! [paper] 8 June 2022: dynseq track preprint out, available at UCSC, WashU and HiGlass/Resgen browsers! [preprint] 8 March 2022: fastISM is published in Bioinformatics! [paper] [code] [docs] [slides] [talk] 19 September 2020: Developed fastISM, 10x faster in-silico saturation mutagenesis for convolutional neural networks. Accepted to MLCB 2020 for oral presentation (15% acceptance rate) [code] [docs] [preprint] [slides] [talk] 29 April 2019: Our paper on predicting chromatin accessibility across cellular contexts was accepted for an oral presentation in ISMB 2019 [slides] [talk] [code] 29 December 2017: A Simple Alpha(Go) Zero Tutorial |
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