Reuse-Growth Sequences
A new combinatorial model connecting restricted-growth words, simsun permutations and pattern avoidance — with a direct route to Euler zigzag numbers.
About the preprint →Research · Data Science · AI in Education
Igor Kleiner — researcher, lecturer and author
Researcher in data analysis, statistics, algorithms and artificial intelligence. Senior Lecturer at HIT and Guest Lecturer at the University of Haifa. Co-author of Surprises in Probability and creator of educational projects for a 276K+ YouTube audience.
PhDData Analysis & Statistics
M.Sc. Computer Sciencesumma cum laude
Senior LecturerHIT · Data Science
Book co-authorwith Henk Tijms
276K+YouTube subscribers
33K+on Stepik
6peer-reviewed journal articles
111citations · h-index 4
Now
What I am working on now
Research, teaching and open education run in parallel. A new public preprint has just gone live; these remain the main directions I am developing now.
New research preprint · September 2026
Weighted Event-Growth Sequences
Three ways for a new value to relate to its history — Level, Return and New — become a weighted growth model. The surprising part is that a rule defined from the whole prefix collapses to a two-coordinate state.
LLevel
RReturn
NNew
Data Analysis in the Age of AI
A free course combining lectures, practice, Orange, Stepik, quizzes and AI as a tool for analysis rather than a substitute for thinking.
Open the course →AI Teaching Lab
Interactive learning sites, quizzes, trainers, visualizations and AI tools for lecturers, universities and educational programs.
Open the lab →Surprises in Probability Theory
Co-authored with Prof. Henk Tijms: eighteen stories about probability, risk and the unexpected mathematics inside real problems.
About the book →One profile
Research, teaching and open education
I do not see these as separate careers: research brings rigor, teaching tests whether an idea is truly understood, and online formats let that understanding travel far beyond one classroom.
Rigor before the elegant explanation
6 peer-reviewed journal articles, 111 citations and h-index 4. Probability, stochastic processes, algorithms, queueing and Data Science.
Research →Understand the idea, not just survive the exam
Senior Lecturer at HIT and Guest Lecturer at the University of Haifa. Strong student ratings and letters of thanks repeatedly highlight clear explanations and extra learning materials.
How I teach →A classroom without walls
Courses in Data Analysis, Critical Thinking and Data Analysis in the Age of AI, with 276K+ on YouTube and 33K+ on Stepik.
Courses and channels →From the conference stage to the page
Professional and academic talks since 2013 — from software engineering and Big Data to stochastic models and AI-assisted education; co-author with Henk Tijms.
Speaking →Where next
Choose your entry point
The site is built for different goals: learning, checking the research profile, inviting me to speak, or simply reading ideas about data and thinking.
Learn
Courses, lectures, practice and interactive material on data, statistics and AI.
Research
Publications, current 2026 work and academic profiles.
Invite
Talks on data, probability, AI, critical thinking and education.
Read & think
Articles, explainers and projects about using data to think more clearly.
Student feedback
What students say
Two genuine student notes, presented without marketing polish.
“Thank you for your dedication, the exercises and the wonderful explanations. The quiz panel and engaging YouTube videos made the material clearer and more enjoyable.”Students of the Probability Course, 2025–2026
“Thank you for the semester, your patience, warmth and genuine desire to teach us and expand our knowledge. We greatly enjoyed learning with you.”Students, July 14, 2025 · translated from Hebrew