Data Science Industry Panel Networking Event
The Data Science Industry Panel Networking Event is an exclusive yearly event for all Data Science and Artificial Intelligence (MDSAI)/co-op and Master of Mathematics (MMath) in Data Science students. The event is a platform to connect accomplished industry experts from the Data Science Advisory Board with aspiring Master of Data Science and Artificial Intelligence (MDSAI) students. The event aims to provide students with valuable insights into the data science field through a panel discussion with industry experts, offering career advice, networking opportunities and the opportunity to cultivate valuable connections.
Fall 2024 Industry Panel Networking Event
We are pleased to announce our annual exclusive Industry Panel Networking Event featuring a distinguished panel of industry experts. Join us on Wednesday, November 27, from 2:00 PM to 4:30 PM for an afternoon of insightful discussions and networking opportunities.
Event Highlights:
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Distinguished Panel of Experts: Engage with industry leaders as they share their expertise on key topics such as current industry trends, breaking into data science and career growth!
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Interactive Panel Discussion: Pose your questions and gain valuable insights directly from our panelists, enhancing your understanding of the industry landscape.
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Networking Opportunities: Connect with panelists and fellow graduate data science students, fostering relationships that can support your career development and co-op opportunities.
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Complimentary Refreshments: Enjoy delicious refreshments while you network and engage in meaningful conversations
This is a unique opportunity to learn from and connect with leading experts in your field. We look forward to seeing you there!
Invitation only event. Please check your email on how to register!
Professional Headshots
November 20, 2024 | 9 AM to 12 PM | DS Lounge
In addition to this students will have the opportunity to have professional headshots to be taken on November 20, 2024 in preparation for the event!
Take advantage of a complimentary professional headshot session, perfect for elevating your online presence.
Information to book a timeslot will be emailed!
Schedule
Time |
Activity |
2:00 pm |
Event Begins |
2:30 pm |
Welcome Remarks & Introductions |
2:35 pm |
Panel Discussion Begins |
3:35 pm |
Panel Discussion Ends & Closing Remarks |
3:40 pm |
Networking & Refreshments |
4:30 pm |
Event Ends |
Participating Industry Partners
Panelist Profiles
Alex Coman | Google Inc.
As Director of Engineering for Google Ads, Alex is responsible for the infrastructure systems that power the open and free internet across the ad-supported web and apps ecosystems. Alex’s focus is on evolving the ad serving infrastructure with the help of his teams, towards supporting Google’s ad business evolution, delivering high performance at internet scale, and ultimately helping Google Ads to create value for users, publishers, advertisers and Google. Prior to joining Google Ads, Alex has contributed to other Google products such as Google Search, Google’s foray into social networks and Google Shopping. Alex holds a Ph.D. in Computer Science from University of Alberta with specialization in Data Management.
Jeff Hatcher| Canadian Institute for Health Information
As director of Advanced Analytics at the Canadian Institute for Health Information (CIHI), Jeff Hatcher’s responsibilities and interests include use of statistical and machine learning methods in the development of models for managing the health system and for protecting the privacy of personal health information. Jeff is also currently leading a multi-year initiative to modernize the software stack used by CIHI staff in their analytic work and to evolve the data science methods and practices at CIHI.
Prior to joining CIHI in 2002, he worked at several other public and private organizations, most notably Statistics Canada and Bell Canada. Jeff is a statistician and economist by training.
Miguel Lacerda | Balyasny Asset Management
Miguel Lacerda is a Senior Data Scientist and Head of the Data Science and AI Academy at Balyasny Asset Management. Prior to this, he was the Chief Data Scientist at a boutique asset management firm and the Group Head of Advanced Analytics at a large financial services company in South Africa. Before moving into the private sector, he was a Lecturer and Researcher at the University of Cape Town, where he led the development of the first undergraduate and masters programs in Data Science in the country. He holds a PhD in Mathematics from the University of Galway in Ireland.
Bethany L. | Canadian Centre for Cyber Security
From a background of Math, Theoretical Linguistics, and Computational Linguistics, I worked in academia then applied Data Science within the Government of Canada. I draw on a deep understanding of language data combined with technical skills to create automated processes and Machine Learning enabled applications to support frontline analysts and wrangle real world data for productive use.
Eric Morrow | BMO Financial Group
Eric is currently the Managing Director of the Enterprise Data Science & AI group within BMO's Data and Analytics (DnA) organization. As a horizontal function within BMO, his team of data scientists and AI developers engages with groups and services across the organization to develop anything from data-driven insights to production ML/AI-based solutions on topics ranging from price optimization to cybersecurity-threat detection and beyond.
Prior to BMO, Eric worked in the aerospace industry on spacecraft development and robotic operations on the International Space Station. He has also worked in the exploration geophysics field on innovative gravity measurement systems.
Eric holds a PhD in geophysics from Harvard University and Masters degrees in physics and aerospace engineering from the University of Toronto.