Graduate Research Journey

​Curious about grad school or research? Hear from grad students about their paths, tips, and what the journey really looks like. Ask questions, get real advice, and see if grad school is right for you.

Join in-person at Bergeron Centre of Excellence in Room 125, or online on Zoom (see location for link).

Give a warm welcome to our hosts:

​Andrew Chai

A 1st year PhD Computer Science Student and MSc Computer Science Graduate at York University. His research focuses on the intersection of Explainable AI (XAI), machine learning, and databases. He is additionally interested in bias and fairness in AI/ML. He also part of the Data and AI (DAI) lab at Lassonde, IBM center for advanced studies (CAS).

​Kevin Y. H. Hui

​Wrapping up his Master’s in Computer Science at York University. His research interests include molecular communication, information theory, computational chemistry and biology, systems biology, and parallel computing, with a strong focus on applying computational methods to complex biological and chemical systems.

​Hasti Ghaneshirazi

​Direct-entry PhD student in Computer Software & Software Engineering at the University of Waterloo, transitioning directly from a bachelor’s degree. Their research focuses on data-driven approaches to software architecture and system design, with work bridging academia and industry through a first-author project with IBM.

​Karanpreet Raja

​Master’s student at York University specializing in computational photography and visual computing. Karanpreet’s work bridges research and creativity, offering a unique perspective on interdisciplinary graduate research.