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Workshops & seminars

Celonis' 2024 Process Mining Canadian Roadshow with Wil van der Aalst

Organized by Concordia University’s Digital Twins Hub

Date & time
Thursday, May 23, 2024
1 p.m. – 6 p.m.

Registration is closed


Wil van der Aalst, Sarah Polech, Claire Chen, Gregory Ning


This event is free


Engineering, Computer Science and Visual Arts Integrated Complex
1515 St. Catherine W.
Room EV 2.260

Wheel chair accessible


Celonis is hosting a three-day conference to develop process mining expertise across Toronto (May 21), Ottawa (May 22), and Montreal (May 23). Process mining can be implemented within academia, research, and industry.

What can you expect to learn from this roadshow?

  • Researchers will learn the ways Artificial Intelligence (AI) is already overlapping with process mining, how to conduct process mining research, and how to partner directly with Celonis and other researchers
  • Academics will learn how to implement process mining with the classroom, launch student process mining ventures, and align with industry members looking to hire talent
  • Industry members will learn business use cases for process mining across varying industry verticals, current trends in process mining and AI, and how to implement process mining within their own business processes


12:45 to 13:00 Greetings and Networking

13:00 to 13:15 Opening Session

Mourad Debbabi, Professor & Dean of the Gina Cody School of Engineering and Computer Science

13:15 to 14:15 Conducting Process Mining Research

Wil van der Aalst, Full Professor, RWTH Aachen University and Chief Scientist, Celonis

14:15 to 14:45 Student Projects: From Capstone to Entrepreneurship

Sarah Polech, Partner Manager, Academic Alliance, Celonis 

14;45 to 15:00 Coffee Break

15:00 to 15:45 Implementing Process Mining Within the Classroom

Sarah Polech, Partner Manager, Academic Alliance, Celonis

15:45 to 16:45 Implementing Process Mining Within Your Business Simulation

Claire Chen, Senior Value Engineer, Celonis

Gregory Ning, Senior Manager | AI & Data, EY

16:45 to 17:15 Closing Panel

Wil van der Aalst, Sarah Polech, Gregory Ning, Mazdak Nik-Bakht (moderator)

17:15 to 18:30 Cocktails and Networking Event (EV 4.101)


Wil van der Aalst

Wil van der Aalst, Full Professor, RWTH Aachen University and Chief Scientist, Celonis

Wil van der Aalst is an Alexander-von-Humboldt professor at RWTH Aachen University, leading the Process and Data Science (PADS) group and also the Chief Scientist at Celonis. He is better known as the "Godfather of Process Mining" and one of the most cited computer scientists in the world (top-10 worldwide, according to At Celonis, he helps to transfer state-of-the-art process-mining techniques into the product and disseminate process-mining knowledge.

Sarah Polech

Sarah Polech, Partner Manager, Academic Alliance, Celonis

Sarah Polech is a partner manager for Celonis' Academic Alliance. She is responsible for aligning students, professors, and researchers with process mining expertise and industry members.

Claire Chen

Claire Chen, Senior Value Manager, Celonis

Claire Chen is a Senior Value Engineer with Celonis, the world leader in process mining and execution management. Claire is an expert in diagnosing inefficiencies and cost leakages in business, driving continuous value creation, and transforming organizations to lead in the digitization competition with emerging technologies like process mining, automation, and AI. At Celonis, Claire manages the entire customer lifecycle from sales to solution implementation to customer success.

Gregory Ning

Gregory Ning, Senior Manager | AI & Data, EY

Gregory Ning is a Senior Manager part of the AI & Data practice at EY Canada. He is a digital transformation strategist with a mission to help teams unlock the potential of the digital age by embracing emerging digital technologies such as Process Mining, AI / Generative AI in their organizations. With a strong foundation in strategy and digital transformation, Gregory works with people to integrate emerging technologies into their businesses.

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