Short Bio

Born and raised in Athens, Greece, my earliest memories resonate with an overwhelming curiosity of how the world works. I got my B.S. in Electrical Engineering and Computer Science from the University of Patras, Greece. I then moved to the US to fulfill my childhood dream of studying there. My first stop was Atlanta, Georgia, where I got an M.S. in Operations Research from Georgia Institute of Technology. Life took me next to Chicago, where I got my Ph.D. from Kellogg School of Management, Northwestern. I am currently an assistant professor of Marketing and Business Analytics at UC Davis.  Outside academia, I enjoy spending my free time practicing yoga and Brazilian jiu-jitsu, and discovering what the world and new places have to offer.

Welcome!

I am currently an assistant professor at the Graduate School of Management at the University of California, Davis. My main research passion is to understand human behavior. As Albert Einstein once said, "of all the mysteries in the universe, people are the hardest for me to fathom". I believe that with our current abilities to gather, store and analyze vast amounts of social network data, we can at least try (hopefully, successfully!) to finally understand people. What is more, is that digital technology has given rise to new fascinating social behaviors. From sharing your everyday stories live on Instagram to posting your financial transactions online on Venmo, digital technology has changed the way people interact with each other, as well as, with businesses. 

 

I am currently interested in understanding consumer behavior in networked services; services whose value is a function of the number of customers they have and their underlying network topology. Empirically wise, I am using data from Venmo, a peer-to-peer mobile payment application, to understand the impact of heterogeneous social networks on customer activity and acquisition. Theoretically wise, my mission is to develop an integrated CRM framework that will account for a customer’s social lifetime value. This will allow networked services to better calculate the “true value” of their customers. I am also now extending this line of research on Blockchain data to explore in more depth the money trail dynamics. If you are interested in collaborating, feel free to shoot me an email.

 

©2020 by Pantelis Loupos.