Associate Professor
Concordia University
Montreal, Quebec, Canada
Steve completed his Ph.D in Biomedical Engineering specializing in microfluidic (or “lab-n-chip”) technologies at the University of Toronto. He then spent 3 years at UC Berkeley and at the Joint BioEnergy Institute as a postdoctoral researcher where he learned pathway engineering and synthetic biology. As of 2020, he is an Associate Professor at Concordia University in the Department of Electrical and Computer Engineering and also in the Department of Biology. His research focuses on developing microfluidic tools for health, energy, and synthetic biology applications. Recently, he has been awarded the Allan Kuchinsky Bio-Automation Award from Synthetic Biology Automation Society and elected as an Emerging Investigator from the Royal Society of Chemistry.
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AI, Machine learning and Big data on the rise for Screening and Diagnostics
Wednesday, May 29, 2024
11:30 – 13:00 CEST
Machine learning and digital microfluidics - a new route for high-throughput studies
Wednesday, May 29, 2024
12:30 – 13:00 CEST