Milena Tsvetkova
Associate Professor
England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMilena Tsvetkova is an Associate Professor of Computational Social Science at LSE with eight years of academic experience and a PhD in Sociology from Cornell. She combines large-scale online experiments, network analysis, machine learning, and computational modelling to investigate cooperation, contagion, segregation, and inequality across human and human–machine networks. Her work bridges rigorous sociological theory and practical data science—she also contributes teaching-focused code for algorithm and data-visualization lectures that helps students grasp complexity and performance trade-offs. Having held postdoctoral and faculty roles at Oxford and LSE, she brings deep interdisciplinary fluency and a knack for turning complex social questions into testable, scalable computational studies.
8 years of coding experience
9 years of employment as a software developer
BSAD, Architecture Design, BSAD, Architecture Design at Massachusetts Institute of TechnologyPhD, Sociology, PhD, Sociology at Cornell UniversityMS, Sociology and Social Research, MS, Sociology and Social Research at University of UtrechtMA, Social Sciences, MA, Social Sciences at University of Chicago
Github Skills (6)
algorithm10
data-structures10
algorithms10
python10
data-structure10
jupyter-notebook9
Programming languages (3)
Github contributions (5)
lse-my470/lectures
Aug 2017 - Dec 2022
Role in this project:
Data Scientist
Data ScientistContributions:198 commits, 3 PRs, 186 pushes in 5 years 4 months
Contributions summary:Milena's commits primarily focus on the development of a lecture series for a Computer Programming course, with the primary focus being on the introduction of algorithms and data structures as well as fundamental programming concepts. The user has made significant contributions to the code, particularly in creating and using the `matplotlib` library, by adding code that focuses on plotting and visualizing data to facilitate the understanding of algorithm analysis and complexity. The contributions are essential for supporting students in learning about the course's key programming areas.
social-research/python-workshop
May 2021 - Jul 2021
Contributions:7 commits, 5 pushes, 1 branch in 1 month
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