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Events listed below are coordinated by the Arts & Science Alumni Office as well as by various Arts & Science academic units. For a list of general U of T alumni events, please see the U of T Events Calendar.
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Math, Physical & Computer Science b2B Speed Networking Event (2019)
October 3 @ 6:00 pm - 8:00 pm
Wondering what to do with your degree in Math, Physical or Computer Sciences? We’ve got a b2B for that!
Alumni from Astronomy & Astrophysics, Chemistry, Computer Science, Earth Sciences, Mathematics, Physics and Statistical Sciences will come to campus to discuss their U of T education, the value of their degree, and their pursuit of successful careers with current Arts and Science students.
Each speed networking round will last 5-10 minutes. After an announcement is made by the moderator, alumni will rotate to the next networking station. Light refreshments will be served afterwards, to give the alumni and students a chance to mingle in a less formal setting.
What you need to know:
- Ensure you register!
- Bring questions!
- Arrive on time (or early).
- Participation in the b2B program can be listed on your Co-Curricular Record (CCR) if you complete all three required step
Students will be divided into groups. As a group, students will converse with an alumnus for 10 to 15 minutes. Once that time has expired, the alumnus will move to the next station.
Speed Networking events allow students to:
- connect with successful alumni, faculty members and your peers;
- ask questions, learn from each other and feel supported as you decide on your next steps;
- hear the stories of alumni who have successfully transitioned from their academic to professional careers.
Speed Networking events allow alumni to:
- connect with students of their corresponding sector and fellow alumni.
- share stories of their successful transition from degree studies to their profession.
- answer questions from students regarding their personal career path.
|5.30pm||Alumni are invited to arrive, register and mingle ahead of students’ arrival.
Refreshments will be available throughout the evening.
Alumni guest introductions by moderator
|6:20pm||Speed Networking session begins (10 minutes per round).
Note: The event moderator will announce the end of each speed networking round and will ask alumni to move to the next table and begin networking. Students will remain at their stations
|7:20pm||Speed networking session ends / closing remarks.
Informal networking session
Refreshments will be provided
b2B Speed Networking attendees include students and recent graduates at various stages of their education and career, as well as Arts & Science alumni, including:
- U of T Arts & Science Alumni currently working in the industry
- Undergraduate students who are considering a career in the industry and want to learn how their studies will support them beyond graduation
- Graduate students (MA, MSc, PhD) who are interested in exploring careers in the industry
- Recent graduates who are looking to continue to develop their networks, professional skills and industry knowledge
David Chen, CTO / Director of AI, BenchSci (Scinapsis Analytics)
David is co-founder, CTO, and Director of AI at BenchSci, which uses machine learning to decode comprehensive open- and closed-access publications to reduce time, uncertainty, and cost of finding antibodies for scientific experiments, speed up pre-clinical research, and accelerate biomedical discoveries.
David completed his PhD in Neuroscience and BSc in Computer Science at University of Toronto.
His PhD focused on gaining new insight into brain chronic-pain neurophysiology and pushing the boundaries of diffusion MRI tractography by enabling large populations analysis with machine learning.
Leonid Gilburd, Lead Senior Data Scientist, Points International
Leonid graduated from UofT in 2017 with a PhD degree in Physical Chemistry. After a short postdoctoral fellowship he joined a startup company – CerebriAI, where he worked on developing customer-tailored machine learning algorithms for automotive industry. Earlier this year he joined Points International as a Lead Senior Data Scientist, where together with his team of data scientists and data engineers, he plays an important role in the data-led marketing.
Albert Lam, CEO and Founder, BrainVision Market Analytics
BrainVision Market Analytics founder and CEO Albert Lam has been elected Chair of Canadian MR body the MRIA (Marketing Research and Intelligence Association).
Lam (pictured) takes on the role after more than twenty years spent working in marketing insights for businesses and charities. He set up BrainVision in 2014, having previously worked for the Christian Children’s Fund of Canada as Marketing & Data Analyst; cbm Canada as a Data Analyst; World Vision Canada as Advisory Marketing Analyst; and YMCA of Greater Toronto as Director of Research & Statistics. Currently, he is the 2020 mentor with the University of Toronto’s Statistical Sciences department.
In addition, Lam has assisted the newly reorganized MRIA with defining its vision and mission, branding and connecting with partners, and has led the development of the Research Registry, MRIA’s survey validation system, in time for the federal election.
Stefania Lenti, Banking Advisor, RBC Royal Bank
My name is Stefania Lenti and I am an alumnus of the University of Toronto. I graduated from UofT in June of 2018 with a Hons. Bachelor of Science, with majors in Mathematics and Italian Studies. While at UofT, I participated in various volunteer experiences with the Mathematics department. I also had the once in a lifetime experience of going on Summer Abroad with the school. I began working with RBC Royal Bank as a Banking Advisor in July of 2018, I have been there since. I have been able to truly use both of my majors in working at RBC, combined with all learning I had done at the university.
Elizabeth Leung, IT Developer, TD Bank
Elizabeth graduated from UofT in 2017 with a Bachelor’s degree in Mathematics and a minor in Computer Science. She volunteered with multiple after school teaching programs during her undergrad and did a summer internship at TD Securities after her 3rd year. She returned to TD full time after graduation and is currently working mainly as a back-end IT Developer. Apart from enjoying coding and teaching, she likes indoor rock climbing and crocheting.
Junjiang Lin, Software Engineer, Uber Technology
Junjiang graduated from the Bioinformatics Lab in the Department of Computer Science at UofT in 2016. He is currently a Software Engineer at Uber where he helps to build the Uber Grocery Delivery program, including grocery delivery engineering design, implementation and launch plan. Prior to Uber, he was on Amazon’s supply chain optimization team, where he developed several algorithms to optimize Amazon global inventory placement and estimate shipping costs. Junjiang is a movie lover and he also enjoys playing board games and skiing.
Mingjie Mai, Data Scientist, Canvass Analytics
Mingjie Mai is a Data Scientist in Canvass Analytics (Toronto), a Google funded AI company that helps the manufacturing sector to make better business decisions in real-time. His interests span machine-learning and reinforcement-learning (RL) approaches for addressing challenges associated with modeling, prediction, and optimization in complex, real-world temporal systems. Prior, he received his M.Sc. in Computer Science (CS) as well as H.B.Sc. in CS and Pathobiology at the University of Toronto (UofT). He conducted researches in RL, time series modelling, and computational medicine/biology at the UofT, the Hospital for Sick Children and Vector Institute for Artificial Intelligence.
Carol Malinas, Banking Industry Consultant
Omar Wagih, Research Scientist, Deep Genomics
Omar graduated in 2012 with a specialization in Computational Biology followed by a MSc in Computer Science at the University of Toronto and a PhD in Computational Biology from the University of Cambridge and the European Bioinformatics Institute. Soon after graduating from his PhD in 2017, he began his current role as a Research Scientist at Deep Genomics, a start up utilizing AI, biology and automation to enable a new approach to drug development. There, he is responsible for developing AI models that can learn and predict clinical endpoints such as the toxicity and efficacy of a drug. Omar had initially joined Deep Genomics in its early years as a summer research intern in 2016. Feel free to ask him about his experience working as an intern!
EJ Zhang, Public Relations Director, Nine Sky International Corp.
Graduated in 2018 with a BSc degree of Mathematical Application in Economics and Finance at University of Toronto, EJ Zhang started his own company Nine Sky International (NSIC) in 2017. NSIC is an international education company pursuing to remove educational boundary and provide high-end education to elite students around the world. Now, the company has partnered with 12 institutes in the area of innovation, STEM, management, leadership, and arts. NSIC is also a community partner of SickKids Foundation.
EJ is now working on the Global Innovation and Entrepreneurship Program with the Institute of Management and Innovation at UTM, feel free to ask him about the entrepreneur life.