About Us

We're an interdisciplinary team of scientist-entrepreneurs with extensive experience in machine learning, drug discovery, and building and scaling impactful technology businesses.

Apply to join our growing team here!

Our team

Daniel Cohen

Daniel Cohen

Co-Founder - CEO

Therence Bois, PhD

Therence Bois, PhD

Co-Founder - Direction of Operations

Prudencio Tossou, PhD

Prudencio Tossou, PhD

Co-Founder - Director of Research

Sébastien Giguère, PhD

Sébastien Giguère, PhD

Co-Founder - Director of Scientific Partnerships

Emmanuel Noutahi, PhD

Emmanuel Noutahi, PhD

Research Scientist - Machine Learning

Jiaying You, MSc

Jiaying You, MSc

Research Analyst - Machine Learning

Dominique Beaini, PhD

Dominique Beaini, PhD

Research Scientist - Deep Learning

Lu Zhu, PhD

Lu Zhu, PhD

Research Analyst - Bioinformatics

Gaël Letarte, MSc

Gaël Letarte, MSc

Research Analyst - Machine Learning

InVivo AI Fellowship Program

Are you a machine learning researcher interested in collaborating with an innovative, early-stage company?

We’re thrilled to announce the InVivo AI Fellowship Program!

Gain access to

Competitive Scholarship

Industry Experience

World Class Academics

The program

Through our close relationship with Mitacs, we have the capability to collaborate with academic groups on tailor-made research projects and are already working with top students and postdocs at groups like the Montreal Institute for Learning Algorithms and the Broad Institute. If you want to work collaboratively towards publications in conferences like NeurIPS, ICML, and ICLR, we want to hear from you!

Am I eligible to apply? Ideal applicants will:

  • Be enrolled as a full-time student (undergrad, master’s, or PhD) or be currently employed as a postdoc.
  • Be able to commit a fixed amount of weekly hours to working towards mutually agreed-upon research objectives.
  • Have a strong interest in machine learning applied to biological problems and the drug discovery process.
  • Have a strong grasp of recent literature in fields like meta learning, few-shot learning, and reinforcement learning.
Apply here