A student talking faculty members during a networking event.

Events and information sessions

A student talking faculty members during a networking event.

Upcoming webinars

Meet the Faculty: Human Resources and Management with Dr. Yao

Tuesday, November 17, 2026 | 9:30 a.m. – 10:15 a.m. EDT

Join us for a 45-minute virtual Lunch & Learn webinar featuring Dr. Yao Yao, Assistant Professor of Human Resources and Management at the DeGroote School of Business, McMaster University.

Dr. Yao will share insights into her research on the digital transformation of work, with a particular focus on professional occupations. Her work examines how digitalization and AI create tensions with existing professional structures and norms, as well as how workers, individually and collectively, make sense of and respond to these changes. She is also interested in unions and worker collectives in the evolving technological landscape. She is available to supervise PhD students in Human Resources and Management.

Who should attend: Prospective PhD applicants interested in the future of work, digital platforms, professional occupations, AI in HR, industrial relations, and related areas.

Register Here

 

Meet the Faculty: Management Science with Dr. Gorgulu

Wednesday, November 18, 2026 | 11:00 a.m. – 11:45 a.m. EDT

Join us for a 45-minute virtual Lunch & Learn webinar featuring Dr. Berk Gorgulu, Assistant Professor of Operations Management at the DeGroote School of Business, McMaster University.

Dr. Gorgulu will share insights into his research on data-driven optimization with applications in healthcare and public operations. His work focuses on building realistic models and developing predictive and prescriptive analytics to support decision-making under uncertainty, using methods such as stochastic modeling, queueing theory, interpretable machine learning, and Markov decision processes. He collaborates with healthcare practitioners on problems with real-world impact, including patient flow optimization. He is available to supervise PhD students in Operations Management.

Who should attend: Prospective PhD applicants interested in healthcare operations, data-driven decision-making, stochastic modeling, queueing theory, predictive/prescriptive analytics, and related areas in Operations Management.

Register Here

 

Meet the Faculty: Information Systems with Dr. Ghasemaghaei

Wednesday, November 25, 2026 | 2:30 p.m. – 3:15 p.m. EDT

Join us for a 45-minute virtual Lunch & Learn webinar featuring Dr. Maryam Ghasemaghaei, Professor, Area Chair of Information Systems, and Canada Research Chair in EDI Issues in Artificial Intelligence (Tier II) at the DeGroote School of Business, McMaster University.

Dr. Ghasemaghaei will share insights into her research on the use of data analytics and artificial intelligence in organizations, with a particular focus on equity, diversity, and inclusion (EDI) issues in AI. Her work examines biases in AI algorithms and their impacts on decision-making, as well as strategies to mitigate these biases and promote fairer outcomes. Her research has been published in leading outlets such as MIS Quarterly, Journal of Management Information Systems, and European Journal of Information Systems. She is available to supervise PhD students in Information Systems.

Who should attend: Prospective PhD applicants interested in data analytics, artificial intelligence, AI bias and ethics, EDI in technology, organizational decision-making, and related areas in Information Systems.

Register Here

 

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