Dr. Omar Asensio

Associate Professor

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Biography

Omar Asensio is an Associate Professor in the School of Public Policy at the Georgia Institute of Technology, where he also directs the Data Science & Policy Lab. He is a faculty affiliate of the Institute for Data Engineering & Science (IDEaS), the Machine Learning Center, and the Strategic Energy Institute. Asensio's research primarily focuses on climate electrification strategies, intersecting technology, artificial intelligence, and sustainability. His work employs statistical and computational tools to enhance understanding of large-scale data through field experiments aimed at increasing civic participation and addressing critical issues in resource conservation and environmental sustainability. His research findings have been published in prestigious journals such as Nature Energy and PNAS, and he has received support from organizations including the National Science Foundation and U.S. Department of Energy. Asensio has garnered several accolades for his contributions to research and policy analysis, including the National Science Foundation CAREER award and the APPAM 40-for-40 fellowship. Additionally, he is recognized as a member of the National Academies of Sciences, Engineering, and Medicine (NASEM) 2021 New Voices cohort, and serves as an Associate Editor for the Data Policy journal.

Research Interests

Awards

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National Science Foundation CAREER Award

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Associate Editor, Data Policy Journal

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ARCS Emerging Sustainability Scholar Award

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APPAM 40-for-40 Fellowship

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Research Impact Practice Award

Courses

ECON-4699: Undergraduate Research ECON-8803: Special Topics ECON-8803: Special Topics: Big Data Policy PUBP-3042: Data Science Policy PUBP-4699: Undergraduate Research PUBP-4803: Special Topics: Data Science Public Policy PUBP-6112: Research Design-Policy Science PUBP-8500: Research Seminar PUBP-8751: Big Data Policy PUBP-8803: Special Topics PUBP-8813: Special Topics

Requirements for Georgia Institute of Technology

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:19
Reading
Required:19
Writing
Required:19
Speaking
Required:19
Total
Required:100
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:5.5
Speaking
Required:6.5
Overall
Required:7.5
Prerequisites
Undergraduate degree in computer science or related field
Application Checklist
  • Online application
  • Official transcripts
  • Three letters of recommendation
  • Statement of Purpose
Specialization Notes

Department of Computer Science: GRE scores are optional for Fall 2026.