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.
10 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
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Github Skills (42)
dimensionality-reduction10
spatial-transcriptomics10
rapids10
gene-expression10
rna-seq10
bioinformatics10
dna-sequences10
clustering10
python9
visualize9
single-cell-analysis9
scanpy9
deep-learning9
transcriptomics9
genomics9
Programming languages (6)
Github contributions (5)
Genentech/decima
Oct 2024 - May 2026
Decima is a Python library to train sequence models on single-cell RNA-seq data.
Contributions:2 releases, 10 reviews, 5 PRs in 1 year 7 months
pythonrna-seq
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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