Tommaso Biancalani
Senior Vice President, Generative Biology
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolTommaso Biancalani is a senior leader merging machine learning and molecular biology, currently VP of Generative Biology at Lila Sciences after directing large ML-driven drug discovery teams at Genentech. With a PhD in theoretical physics and a trajectory through MIT, Broad Institute and Roche, he builds and scales interdisciplinary teams that translate AI models into actionable targets and experimental programs. He has led groups of 20–60+ scientists and engineers, blending hands-on algorithm development with operational leadership across consortium-funded genomics initiatives. Known for practical tooling (e.g., ALIT for large-image analysis) and novel computational methods from his postdoctoral work, he brings a rare combination of theoretical rigor, wet-lab collaboration experience, and product-focused execution. Based in San Francisco, he focuses on generative approaches to biology that accelerate target discovery and de-risk preclinical pipelines.
8 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Theoretical Physics PhD, Doctor of Philosophy - PhD Theoretical Physics PhD at The University of Manchester
English, Italian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (48)
keras-models10
cancer-genomics10
spatial-data10
densenet10
mobilenet10
gene-expression10
single-cell-analysis10
computational-biology10
efficientnet10
keras-tensorflow9
segmentation9
plates9
bioinformatics9
heatmap9
resnet9
Programming languages (3)
Github contributions (5)
lewlin/a-large-image-tiler
Feb 2018 - Jun 2018
(Python3, PyQt5) GUI software to tile large images. Designed to image 96-well plates used in wet labs.
Contributions:38 commits, 25 pushes, 2 branches in 3 months
pythonplatestilepyqt5gui
lewlin/Datasets-analysis
Apr 2018 - Jan 2019
Contributions:11 pushes, 1 branch in 8 months
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