Research summary
Bioinformatics-where biology and computer science meet-has emerged as a relatively new scientific field that can unlock mysteries at the molecular level about how we analyze and treat health conditions. Bioinformatics seeks to discover within datasets the “hidden” information needed to solve challenges in biological data science.
As Canada Research Chair in Machine Learning for Biomedical Data Science, Dr. Yifeng Li is looking to artificial intelligence (AI) to support society’s health and well-being. He and his research team are developing new machine learning approaches that can teach AI to better interpret complex biological data, solve design problems in biotechnology more efficiently, and fill the gaps created by insufficient biological data. By creating new computer models and methods that address data science challenges in a variety of real-life applications, their work will help bioinformatics to improve Canadians’ well-being.