Jordan Levine

Faculty

Jordan Levine

Support Staff

Get in Touch

Title

About

Academic Groups

Academic Area

Jordan Levine is currently a lecturer at the Massachusetts Institute of Technology Master of Business Analytics program at the Sloan School of Management.  Jordan supports a cohort of eighty students deliver analytics capstone projects to approximately 40 host companies and organizations.

He focuses his energy on supporting the scoping of the analytics problem statements and guiding the students to deliver the solutions. With respect to problem scoping, key activities include identifying host companies, translating host company requirements to problem statements, and data readiness assessment. With respect to supporting delivery, key activities include establishing milestones, conducting weekly lectures to guide the students through the milestones, and milestone assessment.

Prior to joining MIT, Jordan spent seven years at McKinsey & Company. The latter half of his time, he served as the global learning and development lead for analytics. There, he architected a strategy and oversaw a learning team that engaged ~4,000 McKinsey colleagues per year at the executive, manager, and technical talent levels. Key outcomes included the creation of a cohort of 1,000+ ‘Analytics Translators’ and the development of novel approaches to on-board and integrate analytics technical talent as well as assess their technical competence in a business environment. Prior to leading analytics learning, he was an engagement manager in the operations practice with a focus in supply chain management. Prior to his time at McKinsey & Company, Jordan was a communications officer in the United States Marine Corps.

Jordan holds a master’s degree in engineering from the Massachusetts Institute of Technology (MIT) and mathematics degree from the United States Naval Academy.

Publications

"Congenital Heart Surgery Machine Learning-derived In-depth Benchmarking Tool."

Sarris, George E., Daisy Zhuo, Luca Mingardi, Jack Dunn, Jordan Levine, Zdzislaw Tobota, Bohdan Maruszewski, Jose Fragata, and Dimitris Bertsimas. The Annals of Thoracic Surgery Vol. 118, No. 1 (2024): 199-206.

"Use of Artificial Intelligence for Nonlinear Benchmarking of Surgical Care."

Dorken-Gallastegi, Ander, Majed El Hechi, Maxime Amram, Leon Naar, Lydia R. Maurer, Anthony Gebran, Jack Dunn, Daisy Zhuo, Jordan Levine, Dimitris Bertsimas, and Haytham Kaafarani. Surgery Vol. 174, No. 6 (2023): 1302-1308.

"Benchmarking Cesarean Delivery Rates Using Machine Learning-derived Optimal Classification Trees."

Gimovsky, Alexis, Daisy Zhuo, Jordan Levine, Jack Dunn, Maxime Amram, and Alan M. Peaceman. Health Services Research Vol. 57, No. 4 (2022): 796-805.

"Benchmarking in Congenital Heart Surgery Using Machine Learning-derived Optimal Classification Trees."

Bertsimas, Dimitris, Daisy Zhuo, Jordan Levine, Jack Dunn, Zdzislaw Tobota, Bohdan Maruszewski, Jose Fragata, and George E. Sarris. World Journal for Pediatric and Congenital Heart Surgery Vol. 13, No. 1 (2022): 23-35.

"Prolonged Second Stage Effect on Pelvic Floor Dysfunction: A Follow up Survey to a Randomized Controlled Trial."

Gimovsky, Alexis C., Jaclyn M. Phillips, Molly Amero, Jordan Levine, and Vincenzo Berghella. The Journal of Maternal-Fetal & Neonatal Medicine Vol. 35, No. 25 (2022): 5520-5525.

"Adverse Outcomes Prediction for Congenital Heart Surgery: A Machine Learning Approach."

Bertsimas, Dimitris, Daisy Zhuo, Jack Dunn, Jordan Levine, Eugenio Zuccarelli, Nikos Smyrnakis, Zdzislaw Tobota, Bohdan Maruszewski, Jose Fragata, and George E. Sarris. World Journal for Pediatric and Congenital Heart Surgery Vol. 12, No. 4 (2021): 453-460.

Load More

Recent Insights

Ideas Made to Matter

3 business problems data analytics can help solve

Businesses want to achieve growth, equip front-line workers with solutions, and process unwieldy data.

Read Article
Ideas Made to Matter

Try this data framework for analytics advantage

A framework based on data, models, decisions, and value can help you leverage analytics for better business outcomes.

Read Article
Load More