Data Science Industry Networking Event

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. 

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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:

  • 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! 

  • Interactive Panel Discussion: Pose your questions and gain valuable insights directly from our panelists, enhancing your understanding of the industry landscape.

  • Networking Opportunities: Connect with panelists and fellow graduate data science students, fostering relationships that can support your career development and co-op opportunities.

  • 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

BAM
bmo logo
CCCS
CIHI
google logo

Panelist Profiles

Photo of Alec Coman

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.  

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 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. 

Photo of Miguel Lacerda

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.                                                                                                                                                                                                                                                                                                

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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. 

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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.               

Fall 2020 Industry Panel Networking Event

DS F20 panel event cover

At the annual Data Science Industry Panel Event, graduate Data Science students are given the chance to meet, learn from, and network with executives from different segments of the data science industry, including research, technology, healthcare, finance and insurance. MDSAI (co-op) students normally apply to jobs for the Spring and this event provides the perfect opportunity for our students to learn more about the current data science industry, expectations from co-op students and how they can apply what they've learned in the classroom. Learn more about the employment success our first cohort of MDSAI students.

The event is a valuable part of the Data Science student experience and we plan to continue this event on an annual basis. Our MDSAI (co-op) students normally have a chance to attend this event two years in a row. Every student in the Graduate Data Science Program is expected to participate in this event, which can potentially help build connections to prepare for co-op employment and full-time employment after graduation.

Fall 2020 Virtual Event Details


Hosted: November 27th, 2020, 10AM – 12PM EST

Itinerary

  1. Opening Remarks
  2. Panelist Introductions
  3. Panel discussions (moderated questions)
  4. Open question period
  5. Breakout sessions in Spatial.Chat
  6. Closing Remarks

Participating Industry Partners

f20 company logos

Panelist Profiles

Ashkan Amiri, BlackBerry

Ashkan Amiri, BlackBerry

Ashkan is the Director of Data Science at Advanced Technology Development Labs, BlackBerry. He leads a data science innovation team that focuses on developing new solutions for AI-powered cybersecurity and safety. Prior to his role at BlackBerry, Ashkan worked at Royal Bank of Canada (RBC) where he built RBC's Cyber Analytics program from the ground up as the program’s Director and Chief Data Scientist. During his tenure, Ashkan led a team of data scientists and developers to create and operationalize novel business and technology controls for proactive identification of cyber threats and fraud.

Ashkan has double masters in Management and Biomedical Engineering. He also earned a PhD degree in Computational Science and Engineering from McMaster University. His PhD dissertation on “The Impact of Attention on Perception” demonstrates how lessons learned from cognitive neuroscience can improve the robustness of AI algorithms in the face of uncertainties in the environment.

Anil K. Goel, SAP

Anil K. Goel, SAP

Vice President of Engineering

Anil K Goel is Vice President of Engineering at SAP where he works with the globally distributed SAP HANA and Analytics Database engineering team to drive forward looking architectures, vision, strategy and execution for SAP HANA Data Lake, XOLTP and connectivity data management products and technologies, including Sybase database products. He oversees data platform related co-innovation projects with hardware and software partners as well as collaborative research and internship programs with many universities in North America. His interests include database system architecture, in-memory and large-scale distributed computing, self-management of software systems and cost modelling.

Anil earned a PhD in computer science from University of Waterloo. He also holds M.Tech. (CS) from Indian Institute of Technology, Delhi and B.E. (Electronics and Communications Engineering) from University of Delhi.

Also joining for breakout sessions:

  • Yogi Joshi, Senior Developer
  • Xiao (Shawn) Meng, Software Developer
  • Jeff Pound, Product Architect, HANA Data Lake
Melanie Poulin-Costello, Hoffman La-Roche

Melanie Poulin-Costello, Hoffman La-Roche

Director, Biostatistics

Melanie Poulin-Costello is Director of Biostatistics in product development at Hoffman La-Roche. Melanie started her career in the pharmaceutical industry as a clinical trial statistician at Bayer. She became project lead statistician for Nexavar©, the first treatment for renal cell carcinoma. After 9 years at Bayer, Melanie then worked at Amgen where she covered many therapeutic areas including oncology, rheumatoid arthritis, nephritis. She worked on clinical trials as well as Health Technology Assessment and Real World Evidence. Now, having been at Roche for almost 4 years, she oversees oncology drug development. In her time as Mississauga site head, she built a biostatistics department to about 35 biostatisticians currently. Melanie is also involved in novel approaches to drug development, specifically she is Roche’s business lead on the TransCelerate Placebo/Standard of Care data sharing initiative. Melanie is an active member of Statisticians in the Pharmaceutical Industry (PSI) and often participating in biostatistics seminars and training in the GTA. Melanie has her undergrad BMath from the University of Waterloo and an MSc in statistics from University of Victoria.

Melanie has lived and worked in mainland China and has 3 adult children. In her spare time Melanie loves to paint and draw and has been successful in local community artist projects. She is able to travel more and more with her husband now that her children are on their own. Their first trip in 2020 will be scuba diving in Belize.

Also joining for breakout sessions:

  • Harper Forbes, Principal Statistical Scientist
  • Mark Yan, Principal Statistical Scientist
  • Kasra Yousefi, Principal Statistical Scientist
Eugene Wen, Manulife Financial

Eugene Wen, Manulife Financial

Vice President, Group Advanced Analytics

Eugene Wen is the Vice President for Group Advanced Analytics at Manulife Financial. He leads data scientist teams in supporting corporate functions, creates governance and policy frameworks for analytics, and establish research and development (R&D) capabilities in advanced analytics to support businesses across the company. Eugene is passionate about using data and analysis to support strategic and operational decision-making. He spends substantial time in recruiting and developing advanced analytics talents.

Prior to his current position at the Manulife Financial, Eugene served as the Vice President and Chief Statistician at the Workplace Safety & Insurance Board (WSIB) of Ontario. He obtained his DrPH (Doctor of Public Health) from School of Public Health, University of Texas.

Also joining for breakout sessions:

  • Mateusz Ujma, AVP-R&D for AI
  • Shobhit Jain, Lead Data Scientist

Fall 2022 Industry Panel Networking Event

Fall 2022 Industry Panel Networking Event

We will be hosting an exclusive industry panel event on Wednesday, November 23rd from 2:15 - 5PM and inviting special guests from industry to help answer your questions about job opportunities, types of industry projects and more! There will also be lots of time for networking to build connections that can help you for your co-op opportunity next year and beyond. 

Food will be provided as well as an opportunity to have your professional headshot taken.

Details

Location: M3 Data Science Lounge (M3 2103)

Date: November 23 2022

Time: 2:15 - 5PM EST


Itinerary

Time

Activity

2:15 pm

Panel Event Welcome, Registration, Networking and Refreshments

2:45 pm

Opening Remarks and Introduce Moderator

2:50 pm

Panelist Introductions

3:00 pm

Panel discussions (moderated questions)

3:45 pm

Open question period

4:15 pm

Closing Remarks

4:20 pm – 5 pm

Networking and Refreshments, Professional headshots


Participating Industry Partners

CIHI
Manulife logo
Scotiabank

Panelist Profiles

Photo of Jeff Hatcher

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.

Yannick

Yannick Lallement holds a PhD in artificial intelligence from the French National Institute of Computer Science. He joined Scotiabank in 2017 as a senior data scientist, working on the Bank's new mobile app. In 2021, he was appointed Vice President, Global Artificial Intelligence and Machine learning. In 2022, his mandate was extended to include Analytics for Corporate Functions. He is responsible for developing the use and the benefits of AI/ML technologies throughout the Bank.

Prior to joining Scotiabank, Yannick held a series of roles supporting AI/ML projects for different public and private organizations.

Eugene Wen, Manulife Financial

Eugene Wen is the Vice President for Group Advanced Analytics at Manulife Financial. He leads data scientist teams in supporting corporate functions, creates governance and policy frameworks for analytics, and establish research and development (R&D) capabilities in advanced analytics to support businesses across the company. Eugene is passionate about using data and analysis to support strategic and operational decision-making. He spends substantial time in recruiting and developing advanced analytics talents.

Prior to his current position at the Manulife Financial, Eugene served as the Vice President and Chief Statistician at the Workplace Safety & Insurance Board (WSIB) of Ontario. He obtained his DrPH (Doctor of Public Health) from School of Public Health, University of Texas.

Tamer Ozsu

M. Tamer Özsu is a University Professor of Computer Science at the David R. Cheriton School of Computer Science of the University of Waterloo where he holds a Cheriton Faculty Fellowship. He also holds a Distinguished Visiting Professor position at Tsinghua University. He is the Founding Director of Waterloo-Huawei Joint Innovation Laboratory since 2018.

His research is in data engineering aspects of data science particularly addressing data management issues with two foci: management of non-traditional data and large-scale distributed data management.

Fall 2023 Industry Panel Networking Event

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Data Science Industry Panel Event: Industry and Academic Perspectives

EVENT HIGHLIGHTS

Expert Talks:

Hear from Yannick Lallement, VP, Corporate Functions Analytics and Chief AI Officer (CAIO) at Scotiabank and Tamer Özsu, Professor with David R. Cheriton School of Computer Science at the University of Waterloo as they explore data science from an industry and academic perspective.

Panel Discussion:

Our distinguished panel of experts will answer questions and further discuss perspectives of Data Science.

  • Yannick Lallement, VP, Corporate Functions Analytics and Chief AI Officer (CAIO) | Scotiabank 
  • Tamer Özsu, Professor | David R. Cheriton School of Computer Science  
  • Jeff Hatcher, Director, Advanced Analytic | Canadian Institute for Health Information 
  • Kamil Malikov, Director, Health Data Science Branch | Ministries of Health and Long-Term Care
  • Bethany L, Supervisor, Data Science, Cyber Threat Assessment, Cyber Centre | Canadian Centre for Cybersecurity

Networking Opportunities: 

The talk and panel event will be followed by an opportunity to network with our experts, special guests and fellow classmates in DC 1301. Refreshments will be served. 


EVENT TALKS

Scotiabank's approach to Large Language Models (LLM) 
Yannick Lallement | VP, Corporate Functions Analytics and Chief AI Officer (CAIO), Scotiabank 

A presentation on Scotiabank's risk-based approach to LLM enablement. Including the usage of ChatGPT, the major use cases identified so far and their road to production, and an update on various LLM pilots the bank is running. 

 A Systematic View of Data Science 
Tamer Özsu | Professor, David R. Cheriton School of Computer Science 

​There is a data-driven revolution underway in science and society, disrupting every form of enterprise. We are collecting and storing data more rapidly than ever before. There is an increasing recognition that data science can assist in leveraging this data and the insights obtained from it into products, systems, and policies. This has resulted in the formation within academia of data science research centres, institutes and even academic units and the establishment of major initiatives within every major industrial organization. However, our understanding of data science is vague and highly varied and, in many cases, are squeezed to fit the available openings within an institution. There is a need to approach this field systematically to define its scope and its boundaries. The objective of this talk is to provide such a consistent and systematic study of the scoping of data science.   

Agenda

Time 

Activity 

2:00 pm 

Registration | Doors Open 

2:15 pm 

Opening Remarks & Introductions  

2:20 pm 

Scotiabank's approach to Large Language Models (LLM)  

Yannick Lallement | VP, Global Artificial Intelligence & Machine Learning, Scotiabank   

3:00 pm 

A Systematic View of Data Science 

Tamer Özsu | Professor, David R. Cheriton School of Computer Science 

3:30 pm 

Panel Discussion (moderated questions) 

4:15 pm 

Closing Remarks   

4:20 pm 

Networking and Refreshments in DC 1301