Aleksander Molak
Founder at University of Oxford
Warsaw Metropolitan Area Poland
Summary
👤
Senior🎓
Top SchoolAleksander Molak is a founder and applied data scientist with nine years’ experience translating causal research into business impact, currently running Causal Python while consulting on applied data science and impact measurement at Lingaro. He authored an Amazon best-selling book on causal inference and contributes practical Jupyter notebooks to the Packt Causal Inference repo, bridging rigorous methods with accessible Python tooling. As a tutor in causal machine learning at Oxford and a former graph neural networks researcher, he blends academic teaching and hands-on R&D to help teams adopt robust decision-making under uncertainty. His background in experimental psychology and neuroscience informs a human-centered approach to AI strategy, and he actively shares knowledge via courses, a newsletter, and public writing. An unexpected thread through his career is creative production—years as a music producer—which speaks to his interdisciplinary curiosity and iterative, product-focused mindset.
9 years of coding experience
19 years of employment as a software developer
Machine Learning by Stanford University on Coursera Data Science, Machine Learning by Stanford University on Coursera Data Science at CourseraScholar Finalist 2018 Data Science, Scholar Finalist 2018 Data Science at The Data IncubatorMaster's degree Experimental Psychology w/ Neuroscience, Master's degree Experimental Psychology w/ Neuroscience at University of WarsawUnderstanding conflict. Psychological mechanisms of conflict development and resolution., Understanding conflict. Psychological mechanisms of conflict development and resolution. at The Max Stern Yezreel Valley College
Polish, English, Spanish, Hebrew
Stackoverflow
123reputation
5kreached
5answers
6questions
Github Skills (13)
statistics10
jupyter-notebook10
scipy10
statsmodels10
python10
causal-inference10
data-analysis10
regression6
amazon-sagemaker6
causality6
amazon-web-services6
knn6
scikit-learn6
Programming languages (7)
Github contributions (5)
PacktPublishing/Causal-Inference-and-Discovery-in-Python
Apr 2022 - Jan 2023
Causal Inference and Discovery in Python by Packt Publishing
Role in this project:
Data Scientist
Data ScientistContributions:20 commits, 55 pushes, 17 comments in 8 months
Contributions summary:Aleksander contributed to the project by adding and updating Jupyter Notebooks, likely implementing and demonstrating causal inference and discovery methods. The commits show the addition of code using libraries like `numpy`, `scipy`, `statsmodels`, and `matplotlib.pyplot` to conduct analysis, create plots, and build causal models within Jupyter Notebooks. The user's work appears to be focused on explaining and applying causal inference techniques using Python.
AlxndrMlk/stochasticZipf
Mar 2018 - Apr 2019
Contributions:31 commits, 30 pushes, 1 branch in 1 year
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