# Mor Armony

0 ma67 [Tenured or Tenure Track](/taxonomy/term/4799) Vice Dean for Faculty and Research Harvey Golub Professor of Business Leadership Professor of Technology, Operations &amp; Statistics 1999 [ Personal Website ](http://www.stern.nyu.edu/~marmony)      ![Mor Armony profile photo](/sites/default/files/styles/480w_x_543h/public/media/ma67.jpg?h=31a1bbfb&itok=L0RKWjDU)

Kaufman Management Center

44 West Fourth Street, 11-55

New York, NY 10012

11-55 0 - Ph.D., Operations Research, 1999

Stanford University
- M.S., Operations Research, 1997

Stanford University
- M.S., Statistics, 1996

The Hebrew University of Jerusalem
- B.S., Mathematics and Statistic, 1993

The Hebrew University of Jerusalem

- Operations Management
- Stochastic Service Systems

Mor Armony is the Vice Dean of Faculty, Harvey Golub Professor of Business Leadership, and Professor of Technology, Operations &amp; Statistics at New York University Stern School of Business. Professor Armony teaches courses in operations management and in service operations.

Professor Armony's primary research areas of interest include management of patient flow in healthcare, optimization of customer experience in contact centers, and general stochastic modeling of various operations. Her articles have appeared in numerous publications, including Management Science, Operations Research, and Queueing Systems.

Before joining NYU Stern, Professor Armony served as a consultant for Lucent Technologies and for AT&amp;T. She also developed mathematical models for the prediction of financial indexes at Eventus, Israel.

Professor Armony received her Bachelor of Science in mathematics and statistics and her Master of Science in statistics from the Hebrew University of Jerusalem. She also received a Master of Science and a Doctor of Philosophy in engineering-economic systems and operations research from Stanford University.

Technology, Operations &amp; Statistics

- Information Services
- Operations Management
- Stochastic Modeling
- Supply Chain Management

- Large-scale service operations: Applications to call centers and healthcare.
- Patient Flow in Hospitals
- Control of stochastic processing systems
