Iavor I. Bojinov

Iavor Bojinov is an Assistant Professor of Business Administration and the Richard Hodgson Fellow at Harvard Business School. He is also a faculty affiliate in the Department of Statistics at Harvard University, the Harvard Data Science Initiative, and the Laboratory of innovation science at Harvard. He teaches the first-year Technology and Operations Management course. Previously he has led multiple data science courses and regularly guest lectures on a diverse set of topics ranging from experimentation to machine learning. 

Professor Bojinov’s research interest is at the interface of causal inference, experimental design, and large-scale computing with the overall goal of democratizing statistical methods in order to help firms innovate and grow. Currently, he is actively pursuing three related research areas: design and analysis of experiments in complex settings, demystifying the value and limitation of experimentation, and understanding the role of data science in the modern AI organization. 

His work has been featured in top Statistics journals such as Biometrika and the Journal of the American Statistical Association. More broadly, as one of the few scholars that work at the intersection of data science and business, he was the first author to have spotlight featured articles in both the Harvard Business Review and the Harvard Data Science Review. 

Before joining Harvard Business School, Professor Bojinov worked as a data scientist leading the causal inference effort within the Applied Research Group at LinkedIn. He holds a Ph.D. and an MA in Statistics from Harvard and an MSci in Mathematics from King’s College London.

Journal Articles

• Bojinov, Iavor, Ashesh Rambachan, and Neil Shephard. "Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective." Quantitative Economics (forthcoming). View Details
• Bojinov, Iavor I., Albert Chen, and Min Liu. "The Importance of Being Causal." Harvard Data Science Review 2.3 (July 30, 2020). View Details
• Bojinov, Iavor I., Guillaume Sait-Jacques, and Martin Tingley. "Avoid the Pitfalls of A/B Testing." Harvard Business Review 98, no. 2 (March–April 2020): 48–53. View Details
• Bojinov, Iavor I., Natesh S. Pillai, and Donald B. Rubin. "Diagnosing Missing Always at Random in Multivariate Data." Biometrika 107, no. 1 (March 2020): 246–253. View Details
• Bojinov, Iavor I., and Neil Shephard. "Time Series Experiments and Causal Estimands: Exact Randomization Tests and Trading." Journal of the American Statistical Association 114, no. 528 (2019): 1665–1682. View Details
• Hollenbach, F.M., I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward, and A. Volfovsky. "Multiple Imputation Using Gaussian Copulas." Sociological Methods & Research (2018). (0049124118799381.) View Details
• Bojinov, Iavor I., and Luke Bornn. "The Pressing Game: Optimal Defensive Disruption in Soccer." Paper presented at the MIT Sloan School of Management, Cambridge, MA, March 2016. View Details

Working Papers

• Bojinov, Iavor, Prithwiraj Choudhury, and Jacqueline N. Lane. "Virtual Watercoolers: A Field Experiment on Virtual Synchronous Interactions and Performance of Organizational Newcomers." Harvard Business School Working Paper, No. 21-125, May 2021. View Details
• Bojinov, Iavor I., Kevin Wu Han, and Guillaume Basse. "Population Interference in Panel Experiments." Harvard Business School Working Paper, No. 21-100, March 2021. View Details
• Menchetti, Fiammetta, and Iavor Bojinov. "Estimating Causal Effects in the Presence of Partial Interference Using Multivariate Bayesian Structural Time Series Models." Harvard Business School Working Paper, No. 21-048, October 2020. View Details
• Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Harvard Business School Working Paper, No. 21-034, September 2020. View Details
• Bojinov, Iavor, Ashesh Rambachan, and Neil Shephard. "Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective." Harvard Business School Working Paper, No. 20-101, April 2020. View Details
• Bojinov, Iavor, and Guillaume Basse. "A General Theory of Identification." Harvard Business School Working Paper, No. 20-086, February 2020. View Details

Cases and Teaching Materials

• Bojinov, Iavor I., and Karim R. Lakhani. "Experiment B Box Search Implemented." Harvard Business School Multimedia/Video Supplement 621-702, December 2020. View Details
• Bojinov, Iavor I., and Karim R. Lakhani. "Experiment A Box Search." Harvard Business School Multimedia/Video Supplement 621-701, December 2020. View Details
• Choudhury, Prithwiraj, Iavor Bojnov, and Emma Salomon. "Creating a Virtual Internship at Goldman Sachs." Harvard Business School Case 621-035, November 2020. View Details
• Bojinov, Iavor I., and Karim R. Lakhani. "Experimentation at Yelp." Harvard Business School Case 621-064, October 2020. View Details
• Bojinov, Iavor I., Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih, and Michael W. Toffel. "Comparing Two Groups: Sampling and t-Testing." Harvard Business School Technical Note 621-044, August 2020. View Details

Additional Information

• CV
• LinkedIn
• Twitter

Areas of Interest

• econometrics
• experimentation
• information technology
• innovation
• statistics