High-Tech Interview Preparation for New Immigrants
A practical course on technical interviews and entering high-tech: problem solving, algorithmic thinking and real interview traps.
Community educationMore than a decade of public talks, technical webinars, academic seminars and intensive courses. Data Science, algorithms, probability, critical thinking and AI — in English, Hebrew and Russian.
Each talk can be adapted for a conference, university, company, podcast or general audience.
Charts, averages, models and cognitive traps that produce persuasive but incorrect conclusions.
What data scientists actually do, from problem definition to model validation.
Why access to a smart answer does not automatically make us smarter.
What is worth learning when AI can already generate code.
Real cases and paradoxes that reshape our intuition about risk and evidence.
From a lecture to an ecosystem of video, notes, games, assignments and feedback.
Not a full CV, but a verifiable public and academic speaking trail — from software engineering to research and AI in education.
AI-Assisted Teaching of Data Analysis for Humanities Students: From Lectures to Interactive Practice.
Two-colors lattice paths with catastrophes and applications to vacation queues.
Setting priorities for biodiversity research in natural history collections — machine learning and statistics for research prioritization.
Two-week summer institute at the University of Haifa: 6 teaching sessions, 13 hours in total, covering computational social science, time series, automated text analysis and images as data.
Introduction to Data Mining for the Social Sciences — a two-credit interdisciplinary course.
Generalizations of decomposition property for M^X/G/1 queues with vacations.
A talk on sublinear algorithms for large-scale data.
A public talk connecting positive psychology and agile software development.
The transtheoretical model applied to software development and organizational change.
An independent SECR review listed this talk among the “especially liked” talks and specifically noted its scientific approach to change.
A talk on scientific and pseudoscientific ideas around software teams.
Open education was part of the work long before the current YouTube and AI projects.
A practical course on technical interviews and entering high-tech: problem solving, algorithmic thinking and real interview traps.
Community educationBig Data: misconceptions and pitfalls; Programmer Interview Exposed; Correlation for Everyone; Linear Regression as Simple as Possible.
LinkedIn archiveFrom Microsoft and Intel to selection and optimization problems — a free technical webinar for programmers and analysts.
ITVDN archiveThree-day intensive: Orange, CRISP-DM, regression, classification, clustering and model evaluation.
2020 programFour-day intensive for researchers and doctoral students: data, models, text and images.
2021 programA guest educational appearance on Stepik as part of a long-running open online education track.
StepikMany older talks remain discoverable independently of this site — in conference archives, education platforms and video repositories.
Three separate Igor Kleiner talks: AgileDays 2013, AgileDays 2014 and SECR 2013.
Open archiveOfficial conference programs confirm appearances in both 2013 and 2014.
AgileDays 2013Official archives preserve Data Science intensives and interdisciplinary teaching.
Open programA University of Haifa archive preserves two additional early research talks: REDS-2014 on property testing for images and the 16th International Conference “Digital Signal Processing and its Applications” (2014).
Open the university archive →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