Mikolaj Buchwald is a Postdoctoral Scientist and Senior Data Scientist with 11 years of experience applying AI and deep learning to cardiology, radiology and psychophysiology research. He holds a PhD in Cognitive Neuroscience and has led EU- and nationally funded projects that produced clinical decision-support tools, an automated incidental findings detector, and all-cause mortality prediction systems. His work spans end-to-end development—from Python model implementation (deep learning, XGBoost) to cloud-enabled web apps and cross-functional deployment with clinical partners such as Cedars-Sinai, UCLA and Yale. He has 21 peer-reviewed publications (including Radiology), multiple invited international presentations, and a track record of securing grant and fellowship funding for translational AI. Comfortable operating between rigorous research and product-facing delivery, he thrives in teams that value autonomy, clear communication and measurable clinical impact. Based in Brussels and active in European R&D consortia, he brings both academic depth and production-ready engineering to medical AI initiatives.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Cognitive Neuroscience, Doctor of Philosophy - PhD, Cognitive Neuroscience at University of Adam Mickiewicz
A simple app to add the Matomo JS tracking code to your template.
Contributions:1 release, 1 review, 11 commits in 9 months
analyticsdjangomatomotracking
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Mikolaj Buchwald - Postdoctoral Scientist Senior Data Scientist