Divyanshi Srivastava

Machine Learning Scientist at Calico Life Sciences

San Francisco, California, United States
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Summary

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Senior
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Top School
Divyanshi Srivastava is a machine learning engineer at Calico with a decade of experience applying computational methods to genomics, regulatory biology, and public health questions. Trained as a Ph.D. candidate in Genomics and Bioinformatics at Penn State and with dual degrees in computer science and biological sciences from BITS Pilani, she builds biologically motivated ML models and statistical methods for next‑generation sequencing data. Her work spans developing neural generalizations of additive models to writing scalable, reproducible pipelines that bridge research and production. Previously at Invitae and the Max Planck Institute, she has translated deep domain expertise into impactful engineering solutions. Beyond research, she is passionate about science education and wildlife conservation, bringing an interdisciplinary lens to problem solving.
code10 years of coding experience
job2 years of employment as a software developer
bookBITS Pilani, Birla Institute of Technology and Science
bookPh.D., Genomics and Bioinformatics, Ph.D., Genomics and Bioinformatics at Penn State University
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Github Skills (17)

convolutional-neural-networks10
binding10
transcription10
sequential10
bioinformatics9
prediction9
deep-learning7
reproducible-research4
dna-sequences4
iteration3
recurrent3
factor2
regression2
genetics1
fine-mapping1

Programming languages (3)

TeXHTMLPython

Github contributions (5)

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seqcode/Bichrom

Jan 2019 - Oct 2021

Interpretable bimodal network for transcription factors binding site prediction
Contributions:3 releases, 207 commits, 3 PRs in 2 years 8 months
predictiontranscriptionbioinformaticsinterpretabletranscription-factors
Contributions:5 pushes, 1 branch in 3 years 4 months
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Divyanshi Srivastava - Machine Learning Scientist at Calico Life Sciences