Divyanshi Srivastava
Machine Learning Scientist at Calico Life Sciences
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolDivyanshi Srivastava is a machine learning scientist at Calico Life Sciences with a solid interdisciplinary foundation spanning computer science and biology. She is pursuing a Ph.D. in Genomics and Bioinformatics at Penn State and holds an M.Sc. in Biological and Biomedical Sciences, underscoring her ability to bridge computational methods with life sciences. Her work focuses on designing biologically motivated ML algorithms to tackle questions in genetics, regulatory genomics, disease, and public health. She brings strong experience in statistical analysis of next-generation sequencing data and a track record of writing scalable, reproducible code. Her prior industry experience includes a tenure as a Machine Learning Engineer at Invitae, complementing her academic training. Based in San Francisco, she is also passionate about science education, wildlife conservation, and making science more accessible.
10 years of coding experience
2 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and SciencePh.D., Genomics and Bioinformatics, Ph.D., Genomics and Bioinformatics at Penn State University
Github Skills (19)
convolutional-neural-networks10
transcription10
binding10
sequential10
predictions9
bioinformatics9
prediction9
neural-networks7
deep-learning7
reproducible-research4
dna-sequences4
iteration3
recurrent3
factor2
regression2
Programming languages (3)
Github contributions (5)
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
DivyanshiSrivastava/Read-correction
Oct 2015 - Feb 2019
Contributions:5 pushes, 1 branch in 3 years 4 months
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