Jim Smit is a Clinical Data Analyst and postdoctoral-trained data scientist with eight years of experience applying AI/ML to precision medicine, particularly in prognostics for critical care and dementia prevention. He has progressed from biomedical imaging internships and a Delft MSc in Biomedical Engineering to a PhD focused on AI for the ICU and postdoctoral work investigating personalized lifestyle interventions within the MOCIA project. Now at Hartwig Medical Foundation, Jim blends clinical domain knowledge with robust machine learning practice to translate research models into clinically relevant insights. He is comfortable navigating academic-industry collaborations across Radboud, TU Delft and Erasmus MC, and brings hands-on experience building prognostic models for COVID-19 and Alzheimer’s-related applications. An interesting thread through his career is a consistent focus on personalizing treatment decisions from noisy clinical data, pairing engineering rigor with patient-centered outcomes.
8 years of coding experience
1 year of employment as a software developer
Erasmus exchange program Computer Science, Erasmus exchange program Computer Science at KTH Royal Institute of Technology
Master's degree Biomedical/Medical Engineering, Master's degree Biomedical/Medical Engineering at Delft University of Technology
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