Stephen W. Thomas

Dr. Stephen W. Thomas is an adjunct faculty member at Smith School of Business at Queen’s University in Kingston, ON, Canada. He is also the Executive Director of Smith's Analytics & AI Ecosystem. He was named the Professor of the Year in the MMA program in 2017 and 2018.

Dr. Thomas holds PhD, MSc, and BSc degrees in Computer Science. His main interests are databases, data analytics, and natural language processing. His research has been published in IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Software Engineering, Empirical Software Engineering, and others. He is a recipient of the Scotiabank Scholar research grant.

Dr. Thomas previously ran a tech startup in the world of big data. He consults with several large companies in the areas of big data, text analytics, and AI. He previously held an industrial data analytics position at Raytheon in Tucson, AZ.

Dr. Thomas teaches several courses on natural language processing, machine learning, database design, big data, and mathematical analysis in Smith Commerce and MMA, and MMAI programs. He serves on the MMA advisory board.

Academic Degrees

• PhD, Computer Science
  Queen’s University (2012)

• MS, Computer Science
  University of Arizona (2009)

• BS, Computer Science
  New Mexico State University (2006)

Academic Experience

• Smith School of Business, Queen's University
  Executive Director, Analytics and AI Ecosystem (2021 - Present)
  Director, Master of Management Analytics (2018-2020)
  Director, Master of Management in Artificial Intelligence (2018-2020)
  Adjunct Assistant Professor (2013 - Present)

• School of Computing, Queen’s University
  Research Assistant (PhD Student) (2009-2012)

Teaching Awards

• 2019. MMA Professor of the Year (Class of Summer 2019)
• 2019. MMA Professor of the Year (Class of Winter 2019)
• 2018. MMA Professor of the Year (Class of Summer 2018)
• 2018. MMA Professor of the Year (Class of Winter 2018)
• 2017. MMA Professor of the Year (Class of Summer 2017)