ML Career Panel

UTMIST is hosting a ML Career Panel on Sunday, August 28th, from 11 am to 12:30 pm EST on Zoom. This event is designed for those hoping to explore careers related to artificial intelligence and machine learning.

In the career panel, we invited several UofT alumni and upper-years to provide their advice on questions that you might have related to research, internships, and education paths related to machine learning.

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Event Details

About the Panelists

Poster of panelists

Milan Kordic is a Machine Learning Team Lead at AltaML - an applied AI company building machine learning solutions for private and public sectors. Milan has experience as both an individual contributor and team lead on multiple machine learning projects at stages ranging from proof-of-concept to pilot and deployment. Some of Milan’s favourite use cases have been in robotics, energy, electricity distribution, and predictive maintenance.

Thomas Li is a first year PhD student in department of computer science at UofT. He is also a research scientist at Waabi working on machine learning for autonomous trucking. He earned his B.A.Sc in engineering science (robotics major) in June 2022.

Dr. Mahdi S. Hosseini is an Assistant professor of Computer Science at Concordia University. He is also an academic advisor to Huron Digital Pathology at St. Jacob Ontario. Dr. M. Hosseini has been selected as an Area Chair (AC) and chair session for Computer Vision and Pattern Recognition (CVPR2022) conference at New Orleans, Louisiana. His main research interests are advancements in deep learning and computer vision algorithms with focused applications in computational pathology. His long-term vision goal is to develop meaningful computer aided diagnosis systems as assistive tools for cancer diagnostics in clinical pathology. He is the author or co-author of more than 30 papers on the above related research topics. Dr. Hosseini received his PhD from The Edward S. Rogers Sr. Department of Electrical & Computer Engineering (ECE) at the University of Toronto (UofT) in 2016 from Multimedia Lab under the supervision of Professor Konstantinos N. Plataniotis. He continued to serve as a Post Doctoral Fellow (PDF) in collaboration with Huron Digital Pathology Inc as a senior research scientist. During his postdoctorate at UofT, he received two fellowships of the MITACS-Elevate Award and NSERC-CRD funding.

Dorje Kongtsa is a product owner at AtlaML, with experience building, deploying, and scaling machine learning products for industry. He is also a UTMIST alumnus, having been the VP Technical Writing from 2019 to 2021. He graduated from UofT with an Honours Business Administration in Economics and Political Science.

Sonali Dey is an Engineering Science student (machine intelligence specialization) currently working as a data scientist at IBM for her PEY. She is also the EEG Research ML Co-Lead at NeurotechUofT. In the past, she has been a computer vision engineer at aUToronto and performed research on neurostimulation at the Neuron to Brain Laboratory.