Assistant Professor Of Computer Science at York University I was an associate scientist at Lunenfeld Tanenbaum Research Institute, Sinai Health, Toronto, Canada (2021-2022). Before that I was a postdoctoral fellow in the Machine Learning Group at the department of Computer Science, University of Toronto and the Vector Institute (2019-2021). I worked in the Healthy ML Lab, under supervision of Dr. Marzyeh Ghassemi. My research focuses on developing Artificial Intelligence (AI)-based medical image diagnostic methods. I am also a member of (T-CAIREM). I received a Ph. D. degree in electrical engineering, under supervision of Dr. Mohamed Bakr and co-supervision of Dr. Natalia Nikolova, from McMaster University, Hamilton, ON, 2017. My research interests are machine learning in healthcare, AI in medical imaging, computer vision, and optimization. I have recieved a number of highly competitive national, provincial, and institutional awards, such as NSERC Postdoctoral Fellowship (2018), Research in Motion Ontario Graduate Scholarship (2015), Ontario Graduate Scholarship and Queen Elizabeth II Graduate Scholarship in Science and Technology (2014), and Ontario Graduate Scholarship (2013), among others.
Reply to: ‘Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms’ and ‘Confounding factors need to be accounted for in assessing bias by machine learning algorithms’Corresponding author