insitro is a data-driven drug discovery and development company that leverages machine learning and high-throughput biology to transform the way medicines are created to help patients.


AI/ML

Biotechnology

Education

Information Technology

insitro

insitro's headquarters in South San Francisco, CA, United States

Stephen Meadows

Ajamete Kaykas

Erica Lagomarsino

Eric Mckeeby

Mary Rozenman

Eray Watts

Philip Tagari

Sungjin Lee

Nathan Williams

Tommy Casolaro

Heiko Runz

Eva Czirr

Samuel Sances

Gia Punjabi

Allison Lai

Shira Becker

Lin Gan

Emily Fox

Brigham Hartley

Aliesha Griffin

Hee Joo Kim

David Lloyd

Kristina Green

Arijit Bhowmick

Chris Eijsbouts

Divya Kanichar

Jana Mitchell

Eddie Ray Watts

Hari Somineni

Kristin Zemba Dropkin

Gina Farrugia Ortega

Amanda Mueller

Chris Baker

Stanley Leung

Babacar Ndoye

Roger Perlmutter

Krishna Yeshwant

Paul Mccracken

Reid Huber

Eli Casdin

Ziad Bakri

Robert Nelsen

The Lab and Data Platform Team at insitro integrates high-throughput biological data with advanced machine learning algorithms to enhance drug discovery and development. They build and maintain the infrastructure necessary for seamless data collection, storage, and analysis, enabling the acceleration of research and the creation of new medicines.

Lab and Data Platform Team

The Software Engineering team at insitro designs and develops robust computational tools and platforms to support data analysis and machine learning applications essential for drug discovery and development. They collaborate closely with biologists and researchers to create scalable, high-performance software that accelerates the identification of potential therapeutic targets and optimizes experimental workflows.

Software Engineering

This department focuses on research and development in the field of protein science, including analysis and experimentation related to protein structure and function.

Protein Sciences

The Research and Development team at insitro drives the innovation and creation of new drug candidates by leveraging machine learning and high-throughput biology. The team comprises experts in drug discovery, high-throughput chemistry, molecular design, and automation, working collaboratively to transform data into actionable insights and advance the development of new therapies for patients.

Research and Development

This department focuses on the development, implementation, and optimization of machine learning models and algorithms.

Machine Learning Division

This department conducts experiments and studies to advance knowledge and innovation in various scientific fields.

Scientific Research

insitro

Org chart

Board & advisors

Teams

Lab and Data Platform Team

Software Engineering

Protein Sciences

Research and Development

Machine Learning Division

Scientific Research

Offices

insitro

Org chart

Board & advisors

Teams

Lab and Data Platform Team

Software Engineering

Protein Sciences

Research and Development

Machine Learning Division

Scientific Research

Offices

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