Welcome to the Vector Institute Alumni page!

Vector is building an alumni network that creates long-term value by continuing to foster Vector’s culture of collaboration, providing a compounding source of knowledge, mentorship, and partnership opportunities for its members. We are very proud of our alumni and are interested in maintaining strong connections. As members of the Vector community move on to new exciting initiatives, we invite them to stay connected to Vector and fellow alumni.

We hope you have found your time at Vector enriching and valuable. As you move to the next exciting phase in your studies or career, we invite you to continue to engage with Vector and interact with researchers and fellow alumni.

Vector Alumni are welcome to:

In addition,Vector alumni may be invited to participate in Vector talks, symposia and other events throughout the year.

Spotlight on Vector Alumni:

Shalmali Joshi
Vector Post-doctoral Fellow (2018-2020)
Currently: Post-doctoral Fellow, Center for Research on Computation on Society, Harvard University (SEAS)

What did you enjoy most about your time at Vector? The freedom to explore research directions I was most passionate about with the most dedicated and wonderful mix of faculty and students I collaborated with will stay with me for a long time!

What excites you most about the future of AI? If done right, AI has a strong potential to improve access to healthcare and the underserved and that is quite exciting!

Ga Wu
Vector Postgraduate Affiliate (2017-2020)
Currently: Machine Learning Researcher, Borealis AI

How did your time at Vector impact your career? The opportunity to interact and collaborate with different people at Vector helped shape the way I approach and think about problems. This has had a long-term positive influence on my career.

How is your research making a difference? We note 90% of machine learning models are not being deployed in real products. The reason usually involves model safety considerations such as robustness, fairness, long-term reliability, etc. My work on model safety research aims to tackle this problem.

Hassan Ashtiani
Vector Postgraduate Affiliate (2017-2018)
Currently: Assistant Professor, Department of Computing and Software, McMaster University, Vector Faculty Affiliate

What did you enjoy most about your time at Vector? I enjoyed attending the Friday talks. The reading groups were also a great way to communicate and collaborate with like-minded researchers. Vector is the machine learning hub in Toronto and being able to stay connected with top machine learning scientists was a huge benefit.

Are there any recent accomplishments that you would like to share with us? A recent paper published in Journal of the ACM about robust/agnostic learning Gaussians Mixture Models using compression (with Shai Ben-David, Nick Harvey, Chris Liaw, Abbas Mehrabian, and Yaniv Plan). I am hopeful that this work helps to unravel the deep connections between learning and compression in general.

Angeline Yasodhara
Vector Scholarship in Artificial Intelligence Recipient (2018-19)
MSc in Computer Science, University of Toronto
Currently: Applied Research Scientist, Georgian

How did your time at Vector impact your career? During my time at Vector I learned about new and different fields within AI, through the great researchers and talks that I was able to attend. What I learned about machine learning at Vector feeds directly into my current work and Vector has played a vital role in where I’ve ended up.

How is your work making a difference? I contribute to tools that identify hidden gems among companies, so that we can support them with funding and growth opportunities, while making sure we aren’t biasing our assessments

Melissa McCradden
Vector Post-doctoral Fellow (2019)
Currently: Bioethicist, Department of Bioethics, The Hospital for Sick Children; Assistant Professor, Dalla Lana School of Public Health, University of Toronto (status only).

How did your time at Vector impact your career? Having an embedded experience within computer science better prepared me to tackle the ethical challenges relating to the use of healthcare AI. As a medical ethicist (bioethicist), I don’t need to understand everything about medicine – but I need to know enough to understand the benefits, risks, and possible consequences. It’s the same with AI, and staying up to date with the technology is so valuable. Also, the connections I’ve made at Vector are the same folks I continue to work with now.

How is your research making a difference? Our research project on explainability in point-of-care ML tools is being used to guide decisions about the research and translation of tools at SickKids. My work in bias is currently used as part of our evaluative process with the research ethics board. Our templates provide guidance and suggestions to researchers to help them query and quantify bias in their research.

Levi Burns headshot

Levi Burns
Vector Scholarship in Artificial Intelligence Recipient (2018-19)
Master of Management in Artificial Intelligence, Queen’s University (Smith School of Business)
Currently: Senior Consultant, KPMG Canada; Data Scientist, KPMG Lighthouse

What did you enjoy most about your time as a Vector Scholarship in AI recipient? The Vector ecosystem is a very motivating environment. The best part of receiving this award was the opportunity to be connected to so many other people who not only have visions of how AI can be pushed to new heights, but also the drive, curiosity, and hard skills to make those visions real.

What are you working on now? I am a Senior Consultant at KPMG Canada and a Data Scientist with KPMG Lighthouse. KPMG is one of the Big Four international consulting firms, and Lighthouse is our global center of excellence for machine learning, AI, and emerging technologies. I sit on the more technical side of the team and spend most of my days thinking about data and algorithms, although I also enjoy occasionally contributing to projects that focus on strategy, risk assessment, or ethics.

VECTOR ALUMNI LIST (As at January, 2021)

VECTOR FACULTY MEMBERS

Sara Mostafavi
Vector Faculty Member/University of British Columbia
Website

VECTOR FACULTY AFFILIATES

Jason Anderson
University of Toronto, Electrical and Computer Engineering
Website
Tom Chau
Holland Bloorview Kids Rehabilitation Hospital, Institute of Biomaterials and Biomedical Engineering, University of Toronto
Website
Jody Culham
University of Western Ontario, Department of Psychology
Dana Kulic
University of Waterloo, Electrical and Computer Engineering
Website
Graeme Hirst
University of Toronto, Department of Computer Science
Website
Robert Mercer (Emeritus)
University of Western Ontario, Department of Computer Science
Radford Neal, (Emeritus)
University of Toronto, Departments of Statistics and Computer Science
Website
Jim Reilly, (Emeritus)
University of Western Ontario, Department of Computer Science
Website
Blake Richards
University of Toronto, Department of Biological Sciences
Website

POST-DOCTORAL FELLOWS

Simon Eng
University of Toronto
Delfina Garcia Pintos
Vector Institute
Joern Jacobson
Vector Institute
Website
Shalmali Joshi
Vector Institute
Website
Faiza Khan
St. Michael’s Hospital
Majid Komeilli
University of Toronto
Marc Law
University of Toronto
Website
Melissa McCradden
Vector Institute
Zacharie Naulet
University of Toronto
Website
Mah Parsa
University of Toronto
Ali Ramezani-Kebrya
Vector Institute
Website
Bradly Stadie
Vector Institute
Website
Margot Yann
University of Toronto
Bo Zhao
University of British Columbia
Website

POSTGRADUATE AFFILIATES

Shazia Akbar
University of Toronto
Website
Aryan Arbabi
University of Toronto
Website
Ahmed Ashraf
Carnegie Mellon University
Website
Tristan Aumentado-Armstrong
University of Toronto
Website
Seyed Ershad Banijamali
University of Waterloo
Website
Felix Berkenkamp
ETH Zurich
Website
Rober Boshra
McMaster University
Website
Andrew Boutros
University of Toronto
Website
Lee Eric Clement
University of Toronto
Website
Jaskiret Dhindsa
McMaster University
Mohamed Helwa
University of Toronto
Website
Kathleen Houlahan
University of Toronto
Website
Ethan Charles Jackson
University of Western Ontario
Website
Mehran Karimzadeh Reghbati
University of Toronto
Website
Shehroz Khan
University of Toronto
Website
Jin Hee Kim
University of Toronto
Website
Xingyu Li
University of Toronto
Website
Dmitrii Marin
University of Waterloo
Website
Sean Dimock Robertson
University of Toronto
Website
Zhaleh Safikhani
Princess Margaret Cancer Research Centre
Website
Buser Say
University of Toronto
Website
Petr Smirnov
University of Toronto
Website
Ian Smith
University of Toronto
Website
Laleh Soltan Ghoraie
Borealis AI
Website
Robin Swanson
University of Toronto
Website
Matthew Tesfaldet
York University
Website
Rodrigo Andres Toro Icarte
University of Toronto
Website
Stavros Tsogkas
University of Toronto
Website
Ga Wu
University of Toronto
Website
SiQi Zhou
University of Toronto
Website
Mohammad Hassan Zokaei Ashtiani
University of Waterloo
Website

GRADUATE STUDENTS AND STUDENT INTERNS

Aisha Alaagib Alryeh Mkean
African Institute of Mathematical Sciences (AIMS) – Rwanda
Nabiha Asghar
University of Waterloo, Computer Science
Badri Berrabah
African Institute of Mathematical Sciences (AIMS) – Rwanda
Ines Birimahire
African Institute of Mathematical Sciences (AIMS) – Rwanda
Colin Brennan
University of Guelph
Akshay Budhkar
University of Toronto, Computer Science
William Joseph Casazza
University of British Columbia, Bioinformatics
Philippe Casgrain
Atef Chaudhury
University of Toronto, Computer Science
Dominic Cheng
University of Toronto
Pan Pan Cheng
University of Waterloo
Jacob Chmura
University of Toronto, Computational Biology
Chris Cremer
University of Toronto, Computer Science
Amit Deshwar
University of Toronto
Haosui Duanmu
University of Toronto
Ray Fang
University of Toronto, Engineering Science Robotics
Farnush Farhadi
University of Toronto
Mohammad Firouzi
University of Toronto, Computer Science
Jordi Fortuny Profitos
University of Barcelona/University of Toronto, Computer Science
Borna Ghotbi
University of British Columbia, Computer Science
Aidan Gomez
University of Toronto
Eric Guisado Bandres
University of Barcelona/University of Toronto
Jennifer Guo
University of Toronto
Kevin C H Ha
University of Toronto, Molecular Genetics
Priyank Jaini
University of Waterloo, Computer Science
Erik Janezic
University of Toronto
Irene Raissa Kameni Kameni
African Institute of Mathematical Sciences (AIMS) – Rwanda
Nathan Killoran
University of Toronto
Oren Kraus
University of Toronto
Kaustav Kundu
University of Toronto
Michael Leung
University of Toronto
Hannah Li
University of Toronto
Jiaman Li
University of Toronto
Jianing Li
University of Toronto, Engineering Science
Yilun Li
University of Toronto, Computer Science
Lorna Licollari
University of Toronto, Electrical and Computer Engineering
Yangjun Lin
South China University of Technology, Shien-Ming Wu School of Intelligent Engineering
Micha Livne
University of Toronto, Computer Science
Matthew MacKay
University of Toronto, Computer Science
Mingjie Mai
University of Toronto
Marta Mauri
Università degli Studi di Milano, Physics
Nicholas Carl Meade
Dalhousie University, Computer Science
Anirbit Mukherjee
John Hopkins University
Akshat Nigam
University of Toronto
Sajad Norouzi
University of Toronto, Computer Science
Rafel Palliser Sans
University of Toronto
Kobby Panford-Quainoo
African Institute of Mathematical Sciences (AIMS) – Rwanda
Parthkumar Parmar
University of Toronto
Chloe Pou-Prom
University of Toronto
YueLan Qin
University of Toronto, Computer Science
Stefania Raimondo
University of Toronto
Abdullah Rashwan
University of Toronto, Computer Science
Geoffrey Roeder
University of Toronto
Amir Rosenfeld
York University
Yulia Rubanova
University of Toronto, Computer Science
Soren Sabet Sarvestany
University of Toronto, Computer Science
Ricardo Salmon
University of Waterloo
Hoessein Shafieirad
University of Toronto
Fizza Ahmad Sheikh
University of Toronto
Tingke Shen
University of Toronto
Christopher Srinivasa
University of Toronto
Jia’Ao Sun
University of Toronto, Computer Science
Didac Suris Coll-Vinent
University of Toronto
Andrew Tan
University of Toronto
Karen Ullrich
University of Amsterdam
Conor Farrell Vedova
University of Toronto, Computer Science
Haicheng Wang
University of Toronto, Computer Science
Houze Wang Wang
University of Waterloo, Computer Science
Marissa Weiss
University of Toronto
Sihan Wu
University of Toronto, Electrical and Computer Engineering
Jijun Xiao
University of Toronto, Computer Science
Jing Yi Xie
University of Toronto, Computer Science
Bowen Xu
University of Toronto
Nuofan Xu
University of Toronto, Engineering Science
Yuheng Xu
University of Toronto
Jinchen Xuan
University of Toronto
Xi Yan
University of Toronto, Computer Science
Jun Yang
University of Toronto, Statistical Sciences
Geoffrey Xiangyu Yu
University of Toronto
Yueming Yu
University of Toronto
Zhaocong Yuan
University of Toronto, Engineering Science
Polina Zablotskaia
University of British Columbia, Computer Science
Chenxue Zhang
University of Toronto
Haochen Zhang
University of Toronto
Yuxing Zhang
University of Toronto
Yuhao Zhou
University of Toronto

VECTOR SCHOLARSHIP IN ARTIFICIAL INTELLIGENCE RECIPIENTS

Harish Anumanchineni
Ryerson University, MSc in Data Science and Analytics
Alexander Banh
Queen’s University, Master of Management in Artificial Intelligence
Denisa Bani
University of Toronto, Master of Management Analytics
Travis Bender
University of Waterloo, M.Math in Statistics
Deepanshu Bhasin
Western University, Master of Data Analytics
Levi Burns
Queen’s University, Master of Management in Artificial Intelligence
Meihong Chen
University of Ottawa, MSc in Computer Science
Dezhong Chen
York University, Master of Business Analytics
Mathew Crowson
University of Toronto, MASc in Mechanical and Industrial Engineering
Rajshree Daulatabad
York University, MSc in Computer Science
Sneha Desai
University of Toronto, MScAC (Master of Science in Applied Computing)
Ke Dong
University of Toronto, MASc in Aerospace Engineering
John Connor (Connor) Donovan
University of Toronto, Master of Management Analytics
Christopher Dulhanty
University of Waterloo, MASc in Systems Design Engineering
Daniel Dworakowski
University of Toronto, MASc in Mechanical and Industrial Engineering
Amin Edraki Queen’s
University, MASc in Electrical and Computer Engineering
Habiba Elsherbiny
Queen’s University, MASc in Electrical and Computer Engineering
Alexander Fernandes
Carleton University, MASc in Biomedical Engineering
Frohan Foroutan
Carleton University, MA in Economics
Meghan Fotak
Queen’s University, Master of Management in Artificial Intelligence
Yuan Gao
University of Ottawa, MSc in Computer Science
Jun Gao*
University of Toronto, MSc in Computer Science
Justin Gerolami
Queen’s University, MSc in Computer Science
Zhen Gou
University of Toronto, MScAC (Master of Science in Applied Computing)
Adam Hall*
University of Toronto, MASc in Aerospace Engineering
Xichen He
University of Toronto, Master of Management Analytics
Tyler Hennick
Queen’s University, Master of Management in Artificial Intelligence
Safwan Hossain
University of Toronto, MSc in Computer Science
Xiaoshi Huang
University of Toronto, MScAC (Master of Science in Applied Computing)
Kyle Jones
Queen’s University, Master of Management in Artificial Intelligence
Ilan Kogan
University of Toronto, MSc in Statistics
Daniel Kur
York University, Master of Business Analytics
Aileen Li
University of Waterloo, M.Math in Statistics
Huan Ling*
University of Toronto, MSc in Computer Science
Zhengyuan Liu
University of Toronto, Master of Management Analytics
Ziyue Liu
University of Toronto, Master of Management Analytics
Basma Mahdy
Queen’s University, MASc in Electrical and Computer Engineering
Garima Malik
Ryerson University, MSc in Data Science and Analytics
Melissa McCorriston
University of Waterloo, Master of Data Science and Artificial Intelligence
Carson McLean
University of Toronto, MSc in Computer Science
Dominique Mielnik
University of Toronto, Master of Management Analytics
Pedram
Mohammadalizadehbakhtevari

Queen’s University, MASc in Electrical and Computer Engineering
David Morton
York University, Master of Business Analytics
Ranjani Murali
University of Toronto, MScAC (Master of Science in Applied Computing)
Revthi Jayarajan Palangat
York University, Master of Business Analytics
Kshirabadhi Patel
Ryerson University, MSc in Data Science and Analytics
Simran Popli
Western University, Master of Data Analytics
Chenzi Qie
University of Toronto, MSc in Applied Computing
Karan Raj Singh Grewal
University of Toronto, MSc in Computer Science
Adam Resnick
University of Toronto, Master of Management Analytics
Francois Roewer-Despres
University of Toronto, MSc in Computer Science
Matthew Rowe
University of Toronto, Master of Management Analytics
Sepehr Samavi
University of Toronto, MASc in Aerospace Engineering
Amrit Sehdev
Queen’s University, Master of Management in Artificial Intelligence
Salma Shukry Emara
University of Toronto, MASc in Electrical and Computer Engineering
Gunpreet Singh
Queen’s University, Master of Management in Artificial Intelligence
Brendan Skingle
Queen’s University, Master of Management in Artificial Intelligence
Marta Skreta
University of Toronto, MSc in Computer Science
Mark Smith
Queen’s University, Master of Management in Artificial Intelligence
Victoria Sopik
Queen’s University, Master of Management in Artificial Intelligence
Samantha Stahlke
Ontario Tech University, MSc in Computer Science
Vaakesan Sundrelingam
University of Waterloo, M.Math in Statistics
Hannah Szentimrey
University of Guelph, MASc in Engineering
Xiaodan Tan
University of Toronto, MASc in Electrical and Computer Engineering
Joseph Tassone
Lakehead University, MSc in Computer Science
Jason Tzu-Kei Lam
Queen’s University, MSc in Computer Science
Priya Varshini G
University of Toronto, Master of Management Analytics
David Veitch
University of Toronto, MSc in Statistics
Subrahmanya Vineeth Bhaskara
University of Toronto, MScAC (Master of Science in Applied Computing)
Houze Wang
University of Waterloo, M.Math in Computer Science
Jiaxi Wang
Queen’s University, Master of Management in Artificial Intelligence
Hongjie Wang
University of Toronto, Master of Management Analytics
Xuling Wang
University of Toronto, MScAC (Master of Science in Applied Computing)
Yizhe Wen
Western University, Master of Data Analytics
Yeming Wen*
University of Toronto, MSc in Computer Science
Jeremy Wong
University of Toronto, MASc in Aerospace Engineering
KaiWen Wu
University of Waterloo, M.Math in Computer Science
Peizhi Yan
Lakehead University, MSc in Computer Science
Xiaoyu Yang
Queen’s University, MASc in Electrical and Computer Engineering
Angeline Yasodhara
University of Toronto, MSc in Computer Science
Brian Yee
Queen’s University, Master of Management in Artificial Intelligence
Dhanusha Yerubandi
Western University, Master of Data Analytics
Adamo Young*
University of Toronto, MSc in Computer Science
Geoffrey Xiangyu Yu
University of Toronto, MSc in Computer Science

* Current Vector PhD Researcher

Vector’s alumni network also includes graduates of Vector’s recognized programs. A complete list of recognized programs may be found here.

Questions? Email us alumni@vectorinstitute.ai

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