Michael Parzen

Michael Parzen is a Senior Lecturer in the Technology and Operations Management unit at Harvard Business School. He is an applied statistician with extensive experience in data science education and currently teaches Applied Business Analytics as an MBA elective course.

Professor Parzen has extensive business school experience, having previously had academic appointments at the University of Chicago’s Booth School of Business and Emory University’s Goizueta Business School. For the last ten years Professor Parzen was Co-Director of Undergraduate Studies and Director of the Master’s Program in Statistics for Harvard University’s Department of Statistics. He is also an instructor in the Harvard Business Analytics Program (HBAP) and co-designed the HBAP course Foundations of Quantitative Analysis.

Professor Parzen’s research interests are in both statistical education and applicable statistical methods for Missing Data and Non-Standard Regression Modeling. His work has been featured in top Statistics journals such as Biometrika and the Journals of the American Statistical Association. Professor Parzen has consulted and given executive education courses at several major corporations including McDonalds, General Electric and Progressive Insurance. He has also consulted for data analytics start-ups as well as litigation support.

Professor Parzen holds a Sc.B. and Sc.M. degree in Mathematics from Carnegie Mellon University, a Sc.M. degree in Applied Mathematics from Brown University and a Sc.D. in Biostatistics from the Harvard School of Public Health.

PUBLICATIONS

CASES AND TEACHING MATERIALS

• Parzen, Michael, and Paul J. Hamilton. "Probability Distributions." Harvard Business School Technical Note 621-704, February 2021. View Details
• Bojinov, Iavor I., Michael Parzen, and Paul J. Hamilton. "Prediction & Machine Learning." Harvard Business School Module Note 622-101, March 2022. (Revised March 2022.) View Details
• Bojinov, Iavor I., Michael Parzen, and Paul J. Hamilton. "Linear Regression." Harvard Business School Module Note 622-100, March 2022. (Revised March 2022.) View Details
• Bojinov, Iavor I., Michael Parzen, and Paul J. Hamilton. "Statistical Inference." Harvard Business School Module Note 622-099, March 2022. (Revised March 2022.) View Details
• Bojinov, Iavor I., Michael Parzen, and Paul J. Hamilton. "Exploratory Data Analysis." Harvard Business School Module Note 622-098, March 2022. (Revised March 2022.) View Details
• Bojinov, Iavor I., and Michael Parzen. "Data Science at the Warriors." Harvard Business School Case 622-048, August 2021. View Details
• Bojinov, Iavor I., Chiara Farronato, Janice H. Hammond, Michael Parzen, and Paul J. Hamilton. "Precision Paint Co." Harvard Business School Case 622-055, August 2021. View Details
• Parzen, Michael, Natalie Epstein, Chiara Farronato, and Michael Toffel. T-tests: Theory and Practice. Harvard Business School Tutorial 621-707, February 2021. View Details
• Grushka-Cockayne, Yael, Michael Parzen, Paul Hamilton, and Steven Randazzo. "Kaggle 2019 Data Science Survey." Harvard Business School Case 620-091, January 2020. View Details
• Parzen, Michael, and Paul J. Hamilton. "The FIRE Savings Calculator." Harvard Business School Case 621-087, January 2021. View Details
• Parzen, Michael, and Paul J. Hamilton. "Introduction to Linear Regression." Harvard Business School Technical Note 621-086, June 2021. View Details