The Alumni Advisory Committee is a standing committee of the Executive Board and consists of graduates who help to cultivate the next generation of alumni leaders through:
- Providing insight into the impact of educational experiences to professional practice.
- Connectivity with recent graduates and identify opportunities for future engagement.
- Raising awareness and encouraging participation in alumni specific programming.
- Serving as volunteers and ambassadors for advisory board and alumni events.
| Darin Bartholomew (Board Chair) |
| Sean Boyer |
| Anna Boykis |
| Cara Evans |
| Jack Granieri |
| Eric Koeck |
| Michael Luckenbill |
| Connor McShane |
| Ryan Oliveira |
| Kevin Publicover |
| Tom Steigerwald |
Contact the Committee: misalumni-faculty@temple.edu


During the final third of the course, students learn to code using JavaScript to build a digital product of their own. Their final project challenges students to make a tool that can rank potential investors in a fictional firm in terms of various functions like income, assets, and debt. “Their job is to write those functions,” says Steven Sclarow, Assistant Professor of MIS and the course coordinator.

Buerger is part of NBCUniversal’s Media Technology Program, a two-year program giving associates technical and managerial experience by working three jobs in different locations; in her case New York, New Jersey and California, where she now lives. 
Dr. Ayabakan, who was previously an Assistant Professor at University of Baltimore and faculty fellow at the Schaefer Center for Public Policy, is researching healthcare by applying analytics to analyze very large data sets from hospitals. He will apply his analytics background and practical experience working with big data to teach the MIS department’s award winning GenEd Data Science course.
Dr. Jung, who recently completed his dissertation, is examining the role of incentive structures in online and mobile forums using field experiments. Dr. Jung will apply his industry experience in the telecomm industry as well as research on social gaming and networks to teach Analytics to majors and minors across the Fox School.
Dr. Bauman, who was previously a research scientist at New York University, is a machine learning expert focusing on researching recommendation systems. Dr. Bauman will apply his extensive technical expertise including industry experience as a software engineer to teach programming. 