Academic Research

Formal research across mathematics, algorithms, and data.

My academic work spans probabilistic and statistical modeling, algorithms, network analysis, Torah & Science, and applications where mathematical structure meets messy real-world data.

Research areas

Current and continuing themes

Probability & Statistics

Probabilistic modeling, forecasting, Markov chains, statistical inference, and dependence.

Algorithms

Approximation algorithms, optimization, broadcasting problems, and algorithmic problem solving.

Data Science & Networks

Social network analysis, graph-based methods, empirical data science, and sockpuppet detection.

Medical / Menstrual-Cycle Modeling

Probabilistic and statistical modeling of menstrual-cycle patterns and forecasting questions.

Torah & Science

Mathematical and statistical research at the interface of Jewish law, traditional sources, and empirical science.

Quantitative Finance

Academic work where statistical methodology, empirical validation, and financial markets overlap.

Peer-reviewed work

Selected publications

2026Hebrew

Statistical Analysis for the Religious Laws of Abstinence before Menstruation

B.D.D. 38–40, 59–74

2022Hebrew

Fixed-Difference Menstruation Markov Chain

B.D.D. 36, 77–104

2019Hebrew

Reliability of Menstrual Cycle Reporting in Surveys with Regard to Jewish Religious Laws

Functional Differential Equations 26(1–2), 1–13

Talks & conferences

Recent research presentations

2026

Modeling Basketball Shooting Patterns Using Markov Chains: A Longitudinal Analysis of the Hot Hand Phenomenon

ADTM 2026 Conference · SCE Beer Sheva · supported by IEEE

2026

Data-Driven Risk-Adjusted Performance Analysis: A Structural Complement to Classical Risk-Adjusted Ratios

ADTM 2026 Conference · SCE Beer Sheva · supported by IEEE

2026

Modeling Shooting Streaks with Markov Chains

Graduate Research Seminar · Shenkar · May 27, 2026

Talk details

This lecture presented a data-driven analysis of NBA shot sequences using first- and second-order Markov-chain dependence tests. The study models shots by outcome and shot type, uses a two-decade NBA dataset, and finds some short-term dependence without evidence for a strong or consistent hot hand effect.

Academic mentorship

Supervised student projects

Selected capstone and research projects across quantitative finance, NLP, network analysis, navigation, algorithms, and software systems, with abstracts, methods, visuals, demos, and research outcomes added as materials are consolidated.

Explore supervised projects →
Research pipeline

Current projects

Hot Hand Modeling

First- and second-order Markov-chain models for longitudinal basketball shooting behavior.

Risk-Adjusted Performance

Developing structural measures that complement classical Sharpe/Sortino/Calmar-style evaluation.

Wikipedia Sockpuppet Detection

NLP, network analysis, and higher-order response structures for identifying coordinated identities.

Agent-Based Tag

Geometric and directional awareness in agent-based pursuit and tag environments.