Lovedeep Gondara, PhD, Computing Science
What was a highlight or favourite moment from your time at SFU?
It was the quality of instruction when I took the initial courses and the enthusiasm of the professors (senior or not) teaching the classes. It set the groundwork for the rest of the classes.
How has your experience at SFU prepared you for your career path?
I worked at BC Cancer while pursuing my PhD, and my experience during my PhD has made me a principled and grounded researcher with the ability to communicate complicated ideas in a simple manner.
What advice would you like to share with students in their first year?
In addition to focusing on the coursework and planning for immediate research projects, think about the bigger picture: what larger problems these are solving and how they can be integrated into a cohesive thesis.
What are your current plans?
I plan to keep working in the healthcare domain and keep my research agenda of applying machine learning to healthcare.
What was your research focus?
I have primarily focused on privacy-preserving and decentralized machine learning. My research helps to address the issues that are found in applications such as learning prediction models from electronic health records distributed over multiple hospitals or labs, fraudulent transaction detection using data stored at multiple financial institutions, and more. This helps to eliminate traditional barriers to collaboration and allows for data collection that provides uniform and reliable information without losing privacy. My proposed methods are in the process of being implemented in the healthcare domain in Canada.