Summary
Zuzanna Kłyszejko is a Lead Data Scientist at MongoDB with a decade of experience bridging cognitive neuroscience and production machine learning. She builds and validates experiment-driven algorithms, drawing on a PhD in Experimental Psychology to inform rigorous signal-detection and probabilistic modeling approaches in product settings. Her background in eye-tracking, NLP-driven recommendation systems (including a museum recommender built during an Insight fellowship), and survival-analysis teaching materials underscores a rare blend of academic rigor and practical engineering. Based in New York, she champions open data, STEAM outreach and psychological safety—openly engaging with impostor syndrome as part of her community work. Colleagues rely on her to translate complex human behavior into scalable data products and reproducible analyses.
9 years of coding experience
9 years of employment as a software developer
Master of Science (MSc), Cognitive Neuroscience, Master of Science (MSc), Cognitive Neuroscience at Uniwersytet SWPS
Doctor of Philosophy (Ph.D.), Experimental Psychology, Cognition & Perception, Doctor of Philosophy (Ph.D.), Experimental Psychology, Cognition & Perception at New York University
Bachelor’s Degree, Psychology, Bachelor’s Degree, Psychology at Marshall University