BenchSci's vision is to bring medicine to patients 50% faster by 2025. BenchSci is doing this by empowering scientists with the world’s most advanced biomedical artificial intelligence to run more successful experiments.

Education

Software

BenchSci

BenchSci's headquarters in Toronto, Canada

Liran Belenzon

Arnab Kundu

Brian Smith

Nika Stelman

Elvis Wianda

Casandra Mangroo

Flávio D. Rossetto Junior

Victoria Stewart

Bryn Knox

Tom Leung

Rasheed Ahmed

Claudia Hung

Yusuf Bismilla

Igor Kamenetsky

Christina Peck

Chad Malek

Chelsea Omel

Jessica Neal

Matt Truppo

Scott Oloff

Sylke Poehling

Jean-Michel Lemieux

Philip Tagari

Richard Zemel

Philip Larsen

Steve Hitchcock

This department focuses on designing, developing, and maintaining software solutions across various domains.

Software Development

The Science and Research Team at BenchSci is dedicated to advancing biomedical research by leveraging artificial intelligence to enhance experimental design and outcomes. This team, composed of experienced science advisors, data experts, and liaison roles, collaborates closely with clients to integrate AI-driven insights, streamline workflows, and support the development of innovative therapeutic solutions. Their mission aligns with BenchSci's vision to accelerate the delivery of life-saving medicines to patients.

Science and Research Team

This department focuses on managing the product lifecycle, including strategy, marketing, and development.

Product Management

The Engineering Team at BenchSci is responsible for developing and maintaining cutting-edge software and machine learning platforms that enhance biomedical research. This diverse group of software engineers, data engineers, and engineering managers collaborates to create advanced tools and infrastructure, enabling scientists to conduct experiments more efficiently and effectively. Their efforts are pivotal in driving BenchSci's mission to accelerate the delivery of life-saving medicines.

Engineering Team

This department focuses on developing and maintaining machine learning systems and platforms.

Machine Learning Engineering

This department facilitates communication and collaboration between scientific stakeholders and the enterprise, ensuring alignment on research and development initiatives.

Enterprise Scientific Liaison

BenchSci

Org chart

Board & advisors

Teams

Software Development

Science and Research Team

Product Management

Engineering Team

Machine Learning Engineering

Enterprise Scientific Liaison

Offices

BenchSci

Org chart

Board & advisors

Teams

Software Development

Science and Research Team

Product Management

Engineering Team

Machine Learning Engineering

Enterprise Scientific Liaison

Offices

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