As part of the Emerging Data Science program, the Data Sciences Institute is launching the CrossTALK: Cross-Training in AI and Laboratory Knowledge for Drug Discovery.
Open to University of Toronto and research funding partner students, postdoctoral fellows and staff with a computer or biological sciences background, CrossTALK is an opportunity to work alongside peers from complementary disciplines. The free 9-week bootcamp will run from February to April, in person at the DSI and in research labs.
Workshop Sessions [approximately 21 hours] April – June, 2025:
Next Bootcamp:
April to June, 2025
Apply: tinyurl.com/crosstalk-apply
Most successful teams will be invited to prospectively predict unknown hits.
Predicted compounds will be purchased and validated in the lab!
Train
Trainees are offered practical
bootcamps to learn how experimental data are generated and how machine learning models are trained to predict bioactive molecules
Challenge
Teams of students with computational and experimental backgrounds are given a dataset with which to develop a method to retrieve known but hidden target hits
Professor, Department of Pharmacology and Toxicology, Temerty Faculty of Medicine, University of Toronto PI, Structural Genomics Consortium
Assistant Professor, Department of Pharmacology and Toxicology, Temerty Faculty of Medicine, University of Toronto PI, Structural Genomics Consortium
Assistant Professor, Department of Chemical Engineering & Applied Science, Faculty of Engineering, University of Toronto
Assistant Professor, Department of Computer Science and Deptartment of Statistical Sciences, Faculty of Arts & Science, University of Toronto Faculty Member, Vector Institute
Associate Professor, Department of Chemistry, Faculty of Arts & Science, University of Toronto
