Emisa Nategh, PhD

Emisa Nategh is an Assistant Teaching Professor of Operations and Analytics at the McDonough School of Business, Georgetown University. Her research focuses on developing machine learning algorithms for data-driven decision making, with applications to crowdsourcing, sharing economy, pricing, and healthcare. Before joining Georgetown University, Emisa spent five years as a NLP/ML scientist at Fred Hutchinson Cancer Research Center and two years as a research scientist scholar at Convoy Inc.

Emisa received her BSc and MSc degrees in Applied Mathematics from the Sharif University of Technology, Iran, and second MSc degree in Marketing Analytics from University of Rochester. She completed her PhD in Operations Management at Foster School of Business, University of Washington.

Education

• PhD, Operations Management, University of Washington
• MSc, Marketing Analytics, University of Rochester
• MSc, Applied Mathematics, Sharif University of Technology
• BSc, Applied Mathematics, Sharif University of Technology

Research

Selected publications

• F. Iravani, H. Mamani, and E. Nategh (Alphabetical order), “External Reference Pricing and Parallel Imports of Pharmaceuticals: A Policy Comparison”, Production and Operations Management, Volume 29, Issue 12 p. 2716-2735, 2021.

Working papers

• D. Kaaua, S. Y. Kim, and E. Nategh (Alphabetical order), “But, I Asked You FIRST!: How Algorithmic and Human Biases Shape Customer Relationship Management on Social Media.”, in preparation.
• K. Hu, D. Kaaua, and E. Nategh (Alphabetical order), “Answering the Call: The Impact of Technological Innovation on Service Levels and Bias in 311 Requests in San Francisco.”, in preparation.
• M. Eftekhar and E. Nategh (Alphabetical order), “Last-Mile Delivery of Health Services in Low- and Middle-Income Countries: Using Gavi Database.”, in preparation.
• S. Alayli, D. Coffey, and E. Nategh (Alphabetical order), “Performance Evaluation of clinical entities extraction: Amazon Comprehend Medical versus Manual Data Extraction”, to be submitted JAMA Network.

Teaching

Current

• Digital Technologies & Analytics
• Programming III
• Global Supply Chain Management

Honors and distinctions

• PwC Grant Award for the Technology Integration Grant in the amount of $5,000, 2022
• Amazon Web Services Research Award for Best Research in NLP and Machine Learning area and $30, 000 credits, Amazon Web Services, 2019.
• Dean Outstanding Teaching Award, Selected Across All Departments, Foster School of Business, University of Washington, 2019.
• Executive MBA Outstanding Teaching Award, Selected Among TAs of Various Courses from Multiple Departments Offered for the EMBA Program’s Students, Foster School of Business, University of Washington, 2019 and 2020.
• Departmental Outstanding Teaching Award, Information Systems and Operations Management Department, Foster School of Business, University of Washington, 2020

Impact and engagement

Business

• Working with FI Consulting on Military Health System Research (MHSR) grant in the amount of $10,000,000.