Consultant - Education Global Practice

World Bank Group

Ph.D. Machine Learning

University of Washington '20  | Fulbright Scholar


LinkedIn: Farah Nadeem

Github: farahn

Google Scholar: Farah Nadeem


I am currently supporting the development of a global analytical report focusing on higher education, building on the report “STEERing Tertiary Education: Towards Resilient Systems that Deliver for All”. Working with multiple stakeholders to facilitate research, with a focus on data analytics, facilitating information exchange, and development of quality data products. 

I have experience working as a Monitoring and Evaluation Specialist in a public sector education reforms project, PMIU-PESRP. As part of my work, I oversee the data collection process for public sector schools across the province of Punjab, which serve around 12 million students. 

I have obtained my Ph.D. from the Department of Electrical and Computer Engineering at the University of Washington and am a Fulbright student. My dissertation research is in the area of machine learning with a focus on natural language processing with the TIAL group. I also have experience working in the domain of computer networks and wireless communications. My current research interests include the application of natural language processing towards automating student learning evaluation for K-12 STEM education, and leveraging student outcomes data to improve policy-making and implementation processes. 

I was featured as a notable woman in STEM by Washington STEM.  

I was awarded the UW Husky 100 and nominated for Celebrate: UW Women in 2019 & 2020, and Homecoming Scholar at UW in 2019.