Welcome to the Vector Institute Alumni page!
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:
- Access and maintain a candidate profile on the Vector Digital Talent Hub to explore the latest career opportunities in AI.
- Network with fellow Vector alumni on LinkedIn. Add Vector Institute to your profile so that other alumni can find you!
- Access Vector Talks and Seminars on YouTube.
- Follow us on Twitter.
In addition, Vector alumni may be invited to participate in Vector talks, symposia and other events throughout the year. Make sure to keep your contact details up to date and opt-in to hear from us by completing our Offboarding and Opt-in Form.
Questions? Email us at alumni@vectorinstitute.ai.
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
Learn more about what I’m working on through my talk on “Incorporating Explainability to User Workflows” here.
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
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.
Learn more about my transition to AI consulting through my talk “Transitioning from Research to AI Consulting at KPMG Lighthouse” here.
VECTOR ALUMNI LIST (As of 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 |
Abhishek Pratap Canadian Association of Mental Health |
| 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 |
Muhammad Asaduzzaman Queen’s University 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 |
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 |
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