Kristina Gligorić

Assistant Professor at The Johns Hopkins University

Washington DC-Baltimore Area United States
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Summary

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Senior
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Top School
Kristina Gligorić is an Assistant Professor of Computer Science at Johns Hopkins University with eight years of research experience spanning NLP, data science, and networked systems. She completed a PhD at EPFL’s Data Science Lab and was a postdoctoral scholar in Stanford’s NLP Group, bringing a strong academic rigour to applied problems. Her background includes internships at Google (digital epidemiology) and the Max Planck Institute, signaling a blend of interdisciplinary research and real-world impact. Kristina’s work bridges machine learning, language technologies, and data-driven systems, often focusing on questions that intersect societal needs and technical robustness. Colleagues note she moves comfortably between deep theoretical work and practical experimentation, developing tools and methods used across research teams. Based in the Washington DC–Baltimore area, she maintains an active academic presence and a public website that details her publications and projects.
code8 years of coding experience
job5 years of employment as a software developer
bookBachelor in Electrical and Computer Engineering, Bachelor in Electrical and Computer Engineering at Faculty of Technical Sciences, University of Novi Sad
bookDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at EPFL (École polytechnique fédérale de Lausanne)
bookPostdoctoral Scholar, Postdoctoral Scholar at Stanford University
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Github Skills (6)

python8
data-analysis6
data-science6
machine-learning3
visualization2
data-visualization1

Programming languages (1)

Jupyter Notebook

Github contributions (5)

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epfl-ada/2021

Sep 2021 - Dec 2021

Materials for Applied Data Analysis CS-401, Fall 2021
Contributions:52 commits, 41 pushes in 3 months
data-analysispythonfalldata-scienceapplied-data-analysis
Contributions:1 release, 4 commits, 3 pushes in 2 days
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Kristina Gligorić - Assistant Professor at The Johns Hopkins University