Ron Taieb
Statistical machine learning, probabilistic modeling, generative learning, and applied AI.
I work at the intersection of statistical methodology and modern machine learning, combining research-driven approaches with practical AI systems.
About
I am a Data Scientist at Phoenix Financial and a PhD researcher in Data Science at Tel Aviv University. I hold an MSc in Statistics and undergraduate degrees in Statistics & Data Science and Economics from the Hebrew University of Jerusalem.
My professional experience spans predictive modeling, statistical analysis, forecasting, and applied AI systems. I work on translating complex data and business problems into statistical and machine learning solutions, including model development and integration into production-oriented workflows.
My research explores how statistical structure and probabilistic representations can improve machine learning and generative modeling. I am particularly interested in connecting statistical inference with modern learning architectures.
Research & Publications
Probabilistic Multilabel Graphical Modelling of Motif Transformations in Symbolic Music
A probabilistic graphical modeling framework for studying motif transformations in symbolic music, using multilabel conditional random fields and statistical inference.
arXiv CodeOngoing PhD Research — Statistical Representations for Generative Modeling
Investigating how statistical representations can be integrated into probabilistic generative models to capture structure in complex data. Current work explores conditional flow matching, state-space methods, and learned statistical representations for time-series generation.
Projects
Beethoven Motif Transformations CRF
Probabilistic graphical modeling framework for motif transformations in symbolic music using CRFs and interpretable transformation families.
Diffusion Models with Alternative Noising
Research-oriented implementation exploring alternative diffusion noising processes and schedules.
Goodreads Fantasy Subgenre Classification
NLP and topic modeling framework for literary genre and subgenre classification.
Robust K-Centroids Clustering
Comparative implementation of robust clustering methods.
Experience
Data Scientist — Phoenix Financial
Aug 2026 – Present
Developing predictive machine learning solutions for insurance applications, combining statistical modeling, AI-assisted document processing, and collaboration on production ML workflows.
Research Assistant — Bank of Israel, Research Division
Aug 2022 – Aug 2026
Developed statistical and econometric models, forecasting systems, and analytical infrastructure in collaboration with economists, statisticians, and data scientists.
Teaching Assistant — Hebrew University of Jerusalem
Oct 2023 – Oct 2025
Taught undergraduate statistics and probability for economics students, including statistical inference and applied statistical methods using R.
Education
PhD in Data Science
Tel Aviv University
Oct 2025 – Present
MSc in Statistics, with Honors
Hebrew University of Jerusalem
Dec 2023 – Sep 2025
BSc in Statistics & Data Science; BA in Economics
Hebrew University of Jerusalem
Oct 2020 – Jul 2023
Beyond Work & Research
Violin Performance
Active soloist and orchestral musician, performing across Israel and internationally. Years of ensemble performance have developed attentive listening, analytical interpretation, and collaborative skills.
Honors & Awards
Teaching Excellence (Hebrew University, 2025); Research Division Employee Excellence (Bank of Israel, 2024); Honorable Soldier (IDF Department of Culture, 2019).