Curious about how data, algorithms, and biology come together to shape cutting-edge careers? Join the UHN Office of Research Trainees (ORT)  for Decoding Careers: Exploring Computational Biology, a dynamic panel event spotlighting professionals working at the intersection of biology, AI, and data analytics.

Whether you’re fascinated by genomics, drug discovery, personalized medicine, or machine learning in healthcare, this event offers an inside look at the diverse and rapidly evolving career paths in computational biology. Our panelists—spanning industry and government—will share their career journeys, current roles, and advice for those looking to break into or grow within this exciting field.

🗓 Date: Tuesday, April 16
🕑 Time: 2:00–3:00 PM (EST)
📍 Location: Zoom

Bring your questions and curiosity—this is your chance to decode the possibilities! This event is free and open to everyone. Register now!

Panelist Bios:

Chieh Ting (Jimmy) Hsu, PhD

• Chieh Ting (Jimmy) Hsu completed his PhD at McGill University where his thesis was on building computational algorithms that help scientists determine the critical components in biological models. He currently works as a bioinformatics scientist at Eyam Health on projects such as developing new vaccines, building Machine Learning pipelines…etc.

Heather Gibling, PhD

• Heather Gibling is a Computational Biologist currently working at Public Health Ontario, where she develops and maintains pipelines and analytical dashboards for whole-genome pathogen surveillance programs. She completed her PhD in Molecular Genetics at UofT and the Ontario Institute for Cancer Research (OICR). She is passionate about bioinformatics education, previously teaching with the Canadian Bioinformatics Workshop (CBW) series, and is a mentor with the newly launched Canadian Bioinformatics Hub.

Jonathan Broadbent, MSc

• Jonathan Broadbent is a computational scientist at the Sanofi AI CoE. His team works with chemists in the early stages of drug discovery. They use machine learning models to predict potential therapeutic targets, molecules, and formulations. Jonathan completed a bachelor’s of Computer Science and Biology at McGill and a Master’s of Computer Science at UofT (with an affiliation at the OICR).