Transcripta Bio
We are focused on drug discovery at unprecedented speed and scale, with lower risk and higher certainty across multiple diseases in parallel. With data from hundreds of millions of experiments, we have mapped the effects of thousands of compounds on gene expression to discover new therapies. Our Drug-Gene Atlas maps molecular structure and drug action to the whole cell transcriptome, revealing therapeutic candidates that rebalance gene expression to treat disease. Our proprietary artificial intelligence modeling suite, Conductor AI, used our Drug-Gene Atlas to discover and predict the effects of new drugs at transcriptome scale.
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Decision-makers and verified team members
19 contacts with verified email or phone · masked until revealed.
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Alex Guin
Director, Computational Biology · Research & Development
EmailPhone - DZ
Daniel Z Larson
Business Development Manager · Sales & Business Development
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Michael Blanco
Principal Research Associate · Science
EmailPhone - CM
Clayton Mellina
VP of Software Engineering · Other
EmailPhone - UL
Ursula Leone Haditsch
Director of Ipsc Disease Modeling · Other
EmailPhone - MP
Manyta Parmar
Laboratory Operations Manager · Operations
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Katherine Dyer
Principal Research Associate · Science
EmailPhone - LW
Long Wu
Senior Scientist · Science
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Will Connell
Senior Ml Scientist · Science
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