Philadelphia & Pittsburgh Chapter Presents - Women in Analytics

Topic:
Women in Analytics

• A panel discussion addressing the challenges and opportunities for women in the analytics space including panelists from academia and industry. Hosted by the Philadelphia and Pittsburgh INFORMS Chapters.

Speaker:
Alison Cozad Ph.D.

Bio:
Dr. Alison Cozad holds a Ph.D. in Chemical Engineering from Carnegie Mellon University where she leveraged mixed-integer and semi-infinite optimization methods to improve machine learning algorithms. Prior to joining Gurobi, she held multiple roles at ExxonMobil, including as a Senior Data Science Lead and Real-time Optimization Engineer. In her free time, Alison loves making things from CNC woodworking to electronics to cheese making to sock puppetry.

Speaker:
Lisa Maillart Ph.D.

Bio:
​Dr. Lisa Maillart is Professor and Interim Chair of the Department of Industrial Engineering. She also co-directs the Stochastic Modeling, Analysis and Control (SMAC) Laboratory. Prior to joining the faculty at Pitt, she served on the faculty of the Department of Operations in the Weatherhead School of Management at Case Western Reserve University. She received her M.S. and B.S. in industrial and systems engineering from Virginia Tech, and her Ph.D. in industrial and operations engineering from the University of Michigan. She also spent a year as a Fulbright U.S. Scholar and visiting faculty at the Technical University of Eindhoven. Her primary research interest is in sequential decision making under uncertainty, with applications in medical decision-making, healthcare operations, healthcare policy, and maintenance optimization.

Speaker:
Susan Davidson Ph.D.

Bio:
Susan B. Davidson received the B.A. degree in Mathematics from Cornell University, Ithaca, NY, in 1978, and the M.A. and Ph.D. degrees in Electrical Engineering and Computer Science from Princeton University, Princeton NJ, in 1980 and 1982. Dr. Davidson is the Weiss Professor of Computer and Information Science (CIS) at the University of Pennsylvania, where she has been since 1982. Her research interests include data management for data science, database and web-based systems, provenance, crowdsourcing, and data citation.

Speaker:
Neha Khanna

Bio:
Neha Khanna is a Technical Product Manager at Wayfair and is based out of Boston, Massachusetts. She leads SEO initiatives which drive organic consumer traffic to the platform. She has a strong passion for data-based storytelling and for creating products and solutions. She has an undergraduate degree in Computer Science and a Masters in Business Analytics from Drexel University. Being an advocate of the responsible use of data, she led a research project on Data Privacy that has also been published in the Delaware Times. She has over 6 years of experience managing products across a wide spectrum of industries, such as ecommerce, retail, marketing, healthcare and travel.