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About

I am a researcher working at the cross-section of machine learning and genomics. The goal of my research is to use machine learning methods, particularly deep learning, to identify patterns in human genomic data that reveal the molecular mechanisms underlying complex diseases and result in new treatments.

Currently, I work as a Senior Data Scientist at Insitro. Previously, I was a Senior Scientist in Deep Learning and Genomics at NVIDIA Research, and a postdoctoral researcher in the Departments of Genetics and Pathology at Stanford University.

My areas of expertise include functional genomics, next-generation sequencing, single-cell genomics, cancer genomics, machine learning and deep learning.



Industry Resume

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Publications and Patents

Google Scholar profile


Peer Review

I actively participate in peer review in the areas of computational biology and machine learning. I have performed 76 reviews of 55 papers for leading journals and conferences, including Nucleic Acids Research, Communications Biology, PLOS Computational Biology and Scientific Reports. Please reach out to me via the email below for peer review.


Grant Review

I actively participate in grant review for funding bodies in the areas of computational biology and machine learning. I have reviewed recently for the Chan Zuckerberg Initiative. Please reach out to me via the email below.


Public speaking

I frequently give academic and industry talks on the topic of machine learning in genomics. A few selected recent talks:

Podcast

2022

2021

2020


Contact Me

Email: avantikalal02 AT gmail DOT com


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