Avantika Lal
Principal ML Scientist II at Genentech
California, United States
Summary
👤
Senior🎓
Top SchoolAvantika Lal is a Principal ML Scientist with a decade of experience applying deep learning to genomics, currently leading generative and interpretive AI efforts for DNA and RNA at Genentech. Trained as a biologist (PhD) and seasoned in both academia and industry, she has built high-impact tools—like AtacWorks and GPU-accelerated single-cell pipelines—that are widely used in research and cited in publications. Her work spans single-cell and bulk transcriptomics, epigenomics, long-read correction, CRISPR screens and spatial data, translating noisy biological measurements into actionable drug-target insights. She has a track record of open-source impact and technical leadership at NVIDIA and insitro, plus successful grant-funded academic research, combining experimental intuition with production-grade ML systems. Colleagues rely on her ability to move methods from prototype to scalable, reproducible workflows that accelerate discovery.
9 years of coding experience
7 years of employment as a software developer
University of DelhiDoctor of Philosophy (PhD), Doctor of Philosophy (PhD) at Tata Institute of Fundamental Research, Mumbai
Stackoverflow
1reputation
0reached
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Github Skills (46)
dimensionality-reduction10
seq10
tsne10
transcriptomics10
gwas10
gene-expression10
single-cell-analysis10
rna-seq10
bioinformatics10
genomics10
clustering10
journal9
scanpy9
computational-biology9
rapids9
Programming languages (5)
Github contributions (5)
Genentech/gReLU
May 2024 - Mar 2025
gReLU is a python library to train, interpret, and apply deep learning models to DNA sequences.
Contributions:4 releases, 35 reviews, 108 PRs in 10 months
avantikalal/AtacWorks
Oct 2019 - Mar 2021
DL based processing of atac-seq data
Contributions:8 PRs, 259 pushes, 65 branches in 1 year 5 months
atac-seq-dataseqatac-seqatac
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