Shawn Mankad

Assistant Professor of Operations, Technology and Information Management at Cornell University

Learn about my research Learn about my teaching Learn about my service

Research Overview

My research focuses on developing and applying statistical methods for addressing business, economic, and policy issues. I specialize in using text documents to explain and predict economic variables, and in the modeling of networks to identify communities or influential nodes, and to characterize network structure evolution over time.

Below are selected papers. Download my CV and research statement.

Teaching Overview

Digital Technology Immersion

I am the lead faculty from the Johnson school for the Digital Technology Immersion, which was launched in Spring 2016 as a joint program with Information Sciences. The program aims to prepare MBA and Info Science MPS students for careers in the digital economy, with courses in strategy and analytics, marketing, and information technology.
You can learn more about the Digital Tech Immersion here.

Courses Taught

I teach three courses at Cornell for the MBA program:
1. Machine Learning Applications in Business
2. Introduction to SQL and Tableau
3. Business and Information Science Practicum.

While at the University of Maryland, I won an Outstanding Teaching Award through the following courses:
1. Linear models in business
2. Data Analytics
3. Google Online Marketing Challenge.

Service Overview

INFORMS Data Science

I have been an active member of the INFORMS Data Mining section and the College on Artificial Intelligence. I served as the Secretary/Treasurer for the Data Mining section from 2013-2015. I was also the conference co-chair for the 2021 INFORMS Workshop on Data Science and have been a member of the organizing committee every year since the annual workshop began in 2017.

Editorial Boards and Reviewing Activity

I will be an associate editor for Data Science in Science starting in 2022, and served on the editorial advisory board (2018-2021) for Expert Systems with Applications. I have also served as an associate editor several times for AI and data science related sections of ICIS, a major conference in Information Systems. I was a member of the program committee for the Federal Reserve Board's Conference on the Interconnectedness of Financial Systems in 2019 and 2021. I also regularly review papers on an ad-hoc basis for several leading journals in Operations, Information Systems, and Statistics; please see my CV for details.

Student Advising

I serve as faculty advisor for the Cornell Quant Club, a student-led organization that encourages interdisciplinary research and engineering with an emphasis on quantitative methods and analysis.

Contact Information

366 Sage Hall
SC Johnson Graduate School of Management
Cornell University
Ithaca, NY 14853

Phone: (607) 255-9594
E-mail: spm263@cornell.edu