Gabriel Budel

Gabriel Budel

I'm an Applied Scientist at Uber with a Ph.D. in Artificial Intelligence and Network Science from TU Delft. My Ph.D. research focused on embeddings of complex networks and the roles of complementarity and similarity in these embeddings, with applications to semantic networks and NLP. My interests include artificial intelligence, machine learning, causal inference, hyperbolic graph embeddings, deep learning, and NLP.

Publications

Budel, G., M. Kitsak, R. Aldecoa, K. Zuev, and D. Krioukov (2024). Random hyperbolic graphs in d + 1 dimensions. Physical Review E 109(5), 054131. doi

Budel, G., F. Frasincar, and D. Boekestijn (2024). DBHC: Discrete Bayesian HMM Clustering. International Journal of Machine Learning and Cybernetics, 1–16. doi

Budel, G., Y. Jin, P. Van Mieghem, and M. Kitsak (2023). Topological properties and organizing principles of semantic networks. Nature Scientific Reports 13(1), 11728. doi

Budel, G. and P. Van Mieghem (2020). Detecting the number of clusters in a network. Journal of Complex Networks 8(6), cnaa047. doi

Budel, G., L. Hoogenboom, W. Kastrop, N. Reniers, and F. Frasincar (2018). Predicting user flight preferences in an airline E-shop. In: Mikkonen T., Klamma R., Hernández J. (eds) Web Engineering. ICWE 2018. Lecture Notes in Computer Science, vol 10845. Springer, Cham. doi

Working Papers

Budel, G. and M. Kitsak (2026). Complementarity in Complex Networks. arXiv:2003.06665

Tjepkema, M., G. Budel, and R.E. Kooij (2026). How science gets by with a little help from the Beatles: Detecting cultural wordplay in scientific literature using large language models.

Ph.D. Thesis

Budel, G.J.A. (2024). Complementarity and Similarity in Complex Networks. doi

Presentations

Complementarity vs. Similarity in Semantic Networks, regular talk at NetSci 2023, Vienna, Austria, July 2023.

Random Hyperbolic Graphs in d + 1 Dimensions, regular talk at the 10th International Conference on Complex Networks and their Applications, Madrid, Spain, December 2021.

Predicting User Flight Preferences in an Airline E-Shop, full paper at the 18th International Conference on Web Engineering 2018, Cáceres, Spain, June 2018.

Software

Complementarity-based HyperLink Embedder
Budel, G. and M. Kitsak (2025)
bitbucket.org/gbudel/complementarity_hyperlink
RHG Generator
Budel, G. and M. Kitsak (2022)
bitbucket.org/gbudel/rhg-generator
DBHC
Budel, G. and F. Frasincar (2018)
cran.r-project.org/web/packages/DBHC
FX Trading NEAT
Budel, G. (2018)
github.com/gabybudel/FXTradingNEAT

Experience

Scientist
Uber, Amsterdam, Netherlands, Nov 2025 – Present
Data Scientist
KPN, Amsterdam, Netherlands, Dec 2023 – Oct 2025
Ph.D. Researcher
Technische Universiteit Delft, Delft, Netherlands, Aug 2019 – Oct 2023

Education

Ph.D. in Artificial Intelligence and Network Science
Delft University of Technology, 2019 – 2024
In collaboration with KPN in the NExTWORKx program
Advanced Language Program Mandarin Chinese (non-degree)
Fudan University, Shanghai, China, 2018 – 2019
M.Sc. in Finance & Investments
Rotterdam School of Management, 2017 – 2018
M.Sc. in Econometrics & Management Science
Erasmus University Rotterdam, 2016 – 2018
Specialization in Business Analytics & Quantitative Marketing
B.Sc. in Econometrics & Operations Research
Erasmus University Rotterdam, 2013 – 2016
Major in Business Analytics & Quantitative Marketing