Lennart Baardman

Lennart Baardman is an Assistant Professor of Technology & Operations at the University of Michigan's Ross School of Business. His research focuses on retail analytics, applying optimization, machine learning, and statistical methods to address revenue management and supply chain challenges in retail. He collaborates with companies like Amazon Fresh, Adobe, and Hello Fresh. His educational background includes a PhD in Operations Research from MIT (2019), an MASt in Mathematics from the University of Cambridge (2014), and a BSc in Econometrics and Operations Research from the University of Groningen (2013).

• Education:
• PhD in Operations Research, MIT (2019)
• MASt in Mathematics, University of Cambridge (2014)
• BSc in Econometrics and Operations Research, University of Groningen (2013)

His research interests emphasize solving practice-driven problems through mathematical modeling and data analytics. He has published in top journals like Manufacturing & Service Operations Management and Management Science, and his work has received awards including the POMS College of Supply Chain Management Best Student Paper Award (2019) and MIT Sloan Excellence in Teaching Award (2018).

Teaching includes courses on big data tools, data exploration, and doctoral seminars in operations management. He advises PhD students at Michigan and has supervised students at MIT and Dartmouth College.