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

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Information Technology

insitro

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

Daphne Koller

Eric Mckeeby

Mary Rozenman

Nathan Williams

Philip Tagari

Ajamete Kaykas

Erica Lagomarsino

Sungjin Lee

Stephen Meadows

S. Michael Rothenberg

Eray Watts

Roger Perlmutter

Krishna Yeshwant

Vijay Pande

Paul Mccracken

Reid Huber

Eli Casdin

Ziad Bakri

Robert Nelsen

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

The Leadership Team at insitro is responsible for guiding the strategic direction and operational execution of the company’s innovative drug discovery efforts. Comprising experts from various domains, including neuroscience, automation, metabolic disease, and data science, the team collaborates to integrate advanced machine learning techniques with high-throughput biology, ensuring that the company remains at the forefront of transforming medicine for patients. Their combined expertise drives key decisions in research, technical operations, and talent development, fostering a culture of excellence within the organization.

Leadership Team

The Board Members and Advisors at insitro provide strategic oversight, governance, and expert guidance to ensure the company effectively leverages its machine learning and high-throughput biology capabilities for innovative drug discovery and development. They support the executive team in making informed decisions to drive the company's mission of transforming medicine creation for patient benefit.

Board Members and Advisors

The Data Science and Machine Learning team at insitro utilizes advanced machine learning algorithms and data analysis techniques to drive insights from high-throughput biological data. Their work focuses on accelerating drug discovery and development by creating predictive models, optimizing experimental designs, and integrating diverse datasets to uncover novel therapeutic targets and biomarkers.

Data Science and Machine Learning

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 Finance & Business Operations team at insitro is responsible for managing the company's financial health, including budgeting, forecasting, and financial planning. They oversee accounting operations and ensure compliance with financial regulations. Additionally, the team drives corporate development and strategic business initiatives to support insitro's mission of transforming drug discovery and development through innovative data-driven approaches.

insitro

Org chart

Board & advisors

Teams

Research and Development

Leadership Team

Board Members and Advisors

Data Science and Machine Learning

Lab and Data Platform Team

Finance & Business Operations

Offices

insitro

Org chart

Board & advisors

Teams

Research and Development

Leadership Team

Board Members and Advisors

Data Science and Machine Learning

Lab and Data Platform Team

Finance & Business Operations

Offices

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