About us

We’re here to help make tissue-targeting easier

Re:Pair Genomics Inc. aims to speed up gene therapy research while maintaining high accuracy

Our Team

Our philosophy is simple — hire a team of diverse, passionate people and foster a culture that empowers you to do your best work.

Yosuke-Niibori

Yosuke Niibori

Chief Scientific Officer and Co-Founder

Dr. Yosuke Niibori is a senior research associate in the Pharmaceutical Sciences department at the University of Toronto. He has years of research experience in neuroscience, gene therapy development, and bioinformatics.

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Luca Hategan

Chief Development Officer and Co-Founder

Luca is a PhD candidate in Cells & Systems Biology at the University of Toronto. He is an expert in Python programming and his passion in bioinformatics led to the development of a machine-learning algorithm to design regulatory elements.

shiron

Shiron Lee

Chief Executive Officer and Co-Founder

Shiron graduated from University of Toronto with an MSc in Pharmaceutical Sciences. Since her master’s studies, she has gained years of experience in gene therapy research for various neurological disorders, both in academia and industry.

swapna

Swapna Prakash

Chief Operations Officer

Swapna completed her JD at University of Toronto. Her passion for the intersection of law and innovation led her to pursue an education and career in intellectual property law. She completed a BSc at University of British Columbia, majoring in Microbiology, Immunology and Microphysiology.

Business Development Team

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Abena Saka

Business Development Manager

Abena Saka completed her bachelor’s degree at University of Toronto in Economics with minors in Mathematics and Statistics. She has previous experience working with a student-led club that later became a registered charity. She is committed to supporting initiatives that better the lives of others.

Algorithm Development Assistants

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Apollonia Savenko

Algorithm Development Assistant

Apollonia is a University of Toronto student pursuing a Bioinformatics and Statistics degree. She has a diverse scientific and computing background in algorithms, machine learning, and data science. Her fascination with blending computational methods and biological insights to create solutions and breakthroughs led her to joining the company’s algorithm development team.

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YueChun (Esther) Wei

Algorithm Development Assistant

Yuechun (Esther), a fourth-year undergraduate at University of Toronto, is on a journey at the crossroads of Statistics and Psychology. Her fascination with machine learning and data analysis is laser-focused on predicting regulatory elements in gene expression.

Program Management

Sanjana

Sanjana Lakhpatwala

Program Manager

Sanjana is a third year student at the University of Toronto, pursuing a bachelors in economics and data analytics. Her past experience in project management, firm representation and her passion for helping others complement her academic path. She wishes to gain more understanding of gene therapy and is fascinated by it’s potential in the world.

Yewon Kim

Yewon Kim

Program Manager

Yewon obtained her bachelor’s degree at University of Toronto, with a double major in Statistics and Economics, along with a minor in Computer Science. Her academic journey has been complemented by valuable hands-on experience, including roles as a growth marketing consultant intern and a research assistant for a machine learning research project with a professor at the University of Toronto.

Scientific Advisor

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Professor Brandon Walters

Assistant Professor (Cell & Systems Biology) - University of Toronto

Business Advisor

Jonathan Paribello

Jonathan Paribello

AI Data and Strategy Analyst (large pharma)

Our History

How it all began…

We were developing a gene therapy treatment for a rare genetic disorder. However, we had a hard time controlling the expression of the transgene in targeted brain cells. So we thought, what if we could generate customized regulatory elements quickly and accurately? Then we got to work and started developing a machine-learning algorithm.

Timeline

2019
2019

  • Began algorithm prototype 1.0 development
2021
2021

  • Team formed
  • Venture named Re:Pair Therapeutics
2022
2022

  • Algorithm prototype 2.0 developed
  • Company incorporated, renamed as Re:Pair Genomics
  • Finalist – TERMIS America Business Plan Competition
  • Finalist – Hatchery NEST pitch competition
  • Winner – Pitch Perfect competition
2023
2023

  • Product validation
  • Finalist- Cell & Gene Therapy West Coast Symposium
  • Fundraising
2024
2024

  • Secured grant from Mitacs
  • Secured grant from Intellectual Property Ontario (IPON)
  • Jan 27 2024 – AI conference @ MaRS Discovery District
  • Feb 21 2024 – Hult Prize Local Competition 2nd Place @UofT
  • Mar 27 2024 – BBTV Pitch Competition 2nd Place