Hi 👋 I’m Eyal. My superpower is simplifying the complex and turning data to ta-da! 🪄
I’m an ex-cosmologist turned Data Science/Machine Learning researcher and communicator with ❤️ for beautiful data visualisations applied statistics.

Recent Work: Experiment Stopping Criteria
I have been interested quite a while about the question of when we can confidently stop experiments? This has a broad range of applicability in analytics, e.g in hypothesis testing and A/B testing.
I really liked Kruschke’s approach of using percision as a stop criterion.
Exploring it I discovered an interesting variant an in August 2026
submitted a preprint .
I like this excerpt of a summary by an attendee of my recent talk at a statistics conference about it:
Kruschke gave a Bayesian answer to [the question when can we confidently stop an experiment]: when the precision reaches a certain threshold. Kazin takes this a step further and adds a decisiveness criterion as well
I’m in the process of writing a more accessible blog post on the topic as the paper is quite technical.
Just for the record, I came across the original method called Precision is the Goal in 2018 (from a Kruschke’s 2015 book), discovered an interesting variant in 2022 while preparing material for a talk on the matter. In 2024, when preparing a poster for a conference I finally understood the importance of the variant realising I might have material for a paper. I started writing up in 2025. Took a break for other writing projects, and completed the first draft in August 2026.
Writing on Medium
As of August 2024 I’ve started to craft technical articles on my Medium page. The main theme so far is statistics and application in data science and machine learning. For the keen I recommend start with these and see links within:
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➡️ Start Asking Your Data “Why?” — A Gentle Intro To Causality: A beginner’s guide to thinking beyond correlations.
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🚅 Information Theory for People in a Hurry: A quick guide to Entropy, Cross-Entropy and KL Divergence. Python code provided. 🐍
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🚪🚪🐐 Lessons in Decision Making from the Monty Hall Problem: A journey into three intuitions: Common, Bayesian and Causal.
Below are some more blog posts which are a mix of professional and personal, so consider this a conversation between myself and future 120 year old me where everyone is invited to listen!
Posts
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Look Ma', I'm on Spotify!
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Start Asking Your Data 'Why?' - The Importance Of The Story Behind The Data (Part 2/4)
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Start Asking Your Data 'Why?' - A Gentle Intro To Causal Inference (Part 1/4)
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Video Diary 2020: The Year We Stayed Home
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Books Of Enlightenment
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Recommended Podcasts
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CurveBall - Loss Function Optimisation With Fast 2nd Order Derivatives
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The Oddball in the Room - Attending a Theoretical Statistics Talk
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GitHub hosted web page using Jekyll
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Protein Design by Multi-Objective Optimisation
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Look at the Data!
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Data Deadline? Jupyter to the Rescue!
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Preparation for a transition to data-science
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My Last Cosmology Talk
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NASA Talk: Cosmology through the large-scale structure of the Universe
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My Cosmology Research - A Pony For My Grandmother
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