News

Dec 21, 2025 🎉 Congratulations to our lab member Rishabh Jha, who placed 27th out of 114 teams in the PhysioNet Challenge 2025. His paper, “Automated Chagas Disease Detection from 12-Lead ECGs Using a Residual Network with Robust Preprocessing,” has been accepted at Computing in Cardiology (CinC) 2025, a leading conference in clinical cardiology and cardiovascular physiology computing.
Dec 17, 2025 Google Research spotlighted the Data Science for Health Ideathon across Africa launched as part of our workshop, highlighting the quality of ideas, mentorship, and health-impact focus.
Read the spotlight → here
Oct 30, 2025 Our CHIL 2025 white-paper is out.
Sep 02, 2025 Our DS4H workshop at the premier Deep Learning Indaba was a great success.
Aug 08, 2025 Check out my essay on “Human-Centered AI: Transparency, Interpretability, and the Future of Trust” in this newly released book sample.
Jul 28, 2025 I delivered a talk at Spark Academy on Model Evaluation and Optimization.
Jun 19, 2025 At CHIL 2025, I will be leading a roundtable focused on Explainability, Interpretability, and Transparency in AI.
Mar 04, 2025 I am selected as a delegate for Science Meet Parliament-British Columbia SMP-BC 2025.
Feb 25, 2025 I will be co-organizing the 2025 African Computer Vision Summer.
Applications are open untill March 25th.
Nov 06, 2024 Our paper on the role of machine learning in detection of cardioac fibrosis from electrocardiogram is accepted in JMIR.
Oct 30, 2024 I presented a talk titled “A Convolutional Network for ECG Signals Analysis” at the Radiology AI Symposium held at Vancouver General Hospital.
Sep 06, 2024 I co-organized the Data Science for Health Workshop at the Deep Learning Indaba.
Sep 01, 2024 Started my new position as an assistant professor at the University of Victoria
Jul 18, 2024 Our work on the current state of Computer Vision research in Africa is accepted in JAIR.
Mar 14, 2024 I served as an admissions reviewer to the first Africa Computer Vision Summer School (ACVSS), hosted by Microsoft Research (MARI) in Nairobi, Kenya.