Dana Popescu headshot
DP

Dana G. Popescu

Associate Professor
Unit: Darden School of Business
Department: Darden Graduate School of Business
Office location and address
FOB 192A
20 Duffy Blvd
Charlottesville, Virginia 22903
Education
B.A., Bucharest University of Economic Studies
M.A., Ph.D., New York University
Biography

Dana Popescu is an Associate Professor at the University of Virginia's Darden Business School where she teaches in the full-time MBA program. Prior to joining Darden in 2017, Dana was a faculty at INSEAD. She has taught in undergraduate, graduate, and executive programs in Asia, Europe and the US. 

Dana's main research interests include pricing optimization, revenue management and demand forecasting.  In the past, she worked on projects related to ad scheduling and revenue optimization for television networks in US and Singapore. Her most recent work focuses on how advances in automation and information technology are changing the way pricing decisions are made, in real time, based on the latest information on demand, inventory, and competitors' prices. Another recent area of work involves aggregation of subjective opinions for demand forecasting. Her research has been published in top journals such as Management Science,Operations Research and Naval Research Logistics

Dana has served in the editorial board of the Journal of Pricing and Revenue Management, was a Secretary/Treasurer for the INFORMS Revenue and Pricing Management Section and is currently a board member in the INFORMS Revenue and Pricing Management Section.

GBUS 7351: Decision Analysis
Credits: 2
Business decisions, both tactical and strategic, are frequently made difficult by the presence of uncertainty in the resulting consequences. This course presents a philosophy for framing, analyzing, and proactively managing decisions involving uncertainty, whether the uncertainty results from general conditions or the actions of competitors. The course will focus on making the uncertainty explicit so that it can be objectively analyzed. Prerequisites: Restricted to Darden students.
GBUS 7352: Decision Analysis - Part II
Credits: 2
Business decisions, both tactical and strategic, are frequently made difficult by the presence of uncertainty in the resulting consequences. This course presents a philosophy for framing, analyzing, and proactively managing decisions involving uncertainty, whether the uncertainty results from general conditions or the actions of competitors. The course will focus on making the uncertainty explicit so that it can be objectively analyzed. Prerequisites: Restricted to Darden students.
GBUS 7600: Data Analysis and Optimization
Credits: 2
This course is designed for the student who wants to be optimally prepared to perform quantitative analysis at a level consistent with (and exceeding) expectations for MBA interns in positions where quantitative sophistication is required. Its only prerequisite is the first-year Decision Analysis course; no additional quantitative experience or acumen is required. The course will focus primarily on data analysis, used to both gain useful insights into relationships and make better, more useful forecasts. In addition to more advanced treatment of regression analysis (the goal being for students to be able to build and apply sophisticated regression models), students will become familiar with other common approaches to forecasting, such as rudimentary time-series analysis. Students will also improve their ability to structure, analyze, and manage situations involving uncertainty and risk, using simulation (Crystal Ball), decision trees, and the other tools introduced in the required Decision Analysis course. Finally, the course will introduce students to the concepts of optimization using Excel's Solver add-in, used to determine how to optimally allocate resources in situations involving complex trade-offs.
GBUS 8757: Pricing Analytics
Credits: 2
This course focuses on pricing as a very powerful lever for profitability. Pricing is also amount the least understood areas of strategic and tactical execution: pricing decisions are made less thoughtfully and systematically than one would expect. Pricing Analytics concentrates on how a firm should set and update pricing and sales decisions across its various channels to maximize its profitability.
GBUS 8999: Darden Independent Study
Credits: 2–3
A Darden Independent Study elective includes either case development or a research project to be conducted by an individual student under the direction of a faculty member. Students should secure the agreement of a resident faculty member to supervise their independent study and assign the final grade that is to be based to a significant degree on written evidence of the individual student's accomplishment.