Meet a Data Scientist-Joseph Johnson

If you have ever wondered what data scientists do, IDSC is giving you an opportunity to learn about this important, multifaceted profession.  On Thursday, March 25, 2021, IDSC is hosting the sixth session in the “Meet a Data Scientist” series with Miami Herbert Business School Marketing Professor, Dr. Joseph Johnson.

Register Now |  Thursday, March 25, 2021, 4:00-5:00 PM

An Associate Professor of Marketing and co-creator and organizer of the annual Big Data Conference (co-hosted by the Business School and IDSC), Dr. Johnson is an always engaging and entertaining speaker. He teaches courses on Marketing Analytics, New Product Development, and Strategic Brand Management, as well as a doctoral seminar in Quantitative Methods for Marketing Management. His research interests include marketing and big data analytics, marketing-finance interface, the application of AI techniques to marketing, deep learning for advertising design, text analytics, health care analytics, and new product development and branding.

Dr. Johnson’s current research focuses on the use of artificial intelligence and text mining tools as a decision aid for managers. He has created and collaborated in the development of:

• Deep-Learning Algorithms for Advertising Design and Testing
• Artificial Intelligence Algorithms for Designing New Products
• Brand Management Tools using Text Mining
• Customer Satisfaction and Service Quality Measurement Tools using Text Mining
• Dynamic Optimization Methods for Retail Promotions
• Media Planning Tools for big Pharma
• Digital Media Analytics for Nonprofit Organizations
• Credit Portfolio Models for Banks
• Clinic Scheduling Model for UM’s Clinics
• Risk Models for Predicting Post-Surgery Health Outcomes

His research has appeared in leading journals such as the Journal of Consumer Research, Marketing Science, the Journal of Marketing, the Journal of Retailing, the Journal of the Academy of Marketing Science, the Journal of International Marketing, the Journal of Optimization Theory and Applications, and the IEEE Proceedings of the International Conference of Machine Learning Applications (ICMLA).

His paper on market entry strategies into India and China won the Marketing Science Institute H. Paul Root Best Paper Award from the Journal of Marketing in 2008. His research on financial markets has been featured in Financial Times of India, MSNBC, and Kiplinger’s Personal Finance. He appeared on the TV news show Nightly Business Report (CNBC) to discuss his research on how consumer decision-making leads to financial bubbles. His co-authored paper with Shirin and Sanjay Razdan won the best paper award at the World Conference of Endourology in 2014. He has given invited presentations on his work at the University of Cambridge, Harvard University, the University of Florida, and the Wharton School of Business. In 2017, his students voted him the “Research Mentor of the Year” for his guidance of their research projects.

Dr. Johnson has 32 years of experience—divided between academia and industry—in computerization and empirical models for manufacturing, supply chain, and marketing. In India, he worked at Hindustan Petroleum where he developed rule-based algorithms for optimal gas station locations and layout designs for LPG filling stations. Later, with Tata Steel, he led the team that designed and implemented the computerized systems that integrated demand forecasting and distribution logistics for Tata Steel’s eastern India operations. His work earned him Tata Steel’s award for the best Total Quality project in 1995. In the Middle East, he worked with SSB (Oman), where he developed pricing and promotion response models for Toyota’s auto line up. In the US, he has worked on projects with Affinova (acquired by Nielsen in 2014), Axalta, CheapOair, Coflow Jet, Dell, Eli-Lilly, EMpulse, Royal Caribbean, Ocean Reef Club, NuPhoton Technologies, Proton Data Security, Perry Ellis, Ryder Transportation, Power Financial Credit Union, SAS, UHealth, Universal Studios, Fox Studios (now 20th Century Studios), and Ventas.

Mark your calendar for these upcoming Meet a Data Scientist” talks to be held on Zoom. These events are free and open to the public.

• Selcuk Uluagac, 2:00-3:00 PM, April 8, 2021 |  Register Now
• Daniel Messinger 3:30-4:30 PM, Thursday, April 22, 2021 |  Register Now