Summary
John Samuelsson is a Senior Data Scientist in Cambridge, MA with nine years of interdisciplinary experience building scalable AI and signal-processing systems for biomedical applications. He currently develops digital medicines and novel endpoints at Pfizer, integrating wearable, imaging, survey, and real-world evidence across cardiovascular, oncology, immunology, and rare-disease programs. His background bridges academic neuroengineering and industry: a PhD from MIT and MGH research that produced non-invasive methods to assess cerebellar electrophysiology and an NIH F-32–funded postdoc where he developed a novel temporal-interference magnetic stimulation instrument. Comfortable moving projects from algorithm research to production pipelines, he has hands-on expertise in wearables analytics, M/EEG, MRI, and statistical modeling. Known for combining rigorous physics/engineering training with translational impact, he often seeks measurable clinical endpoints rather than purely theoretical gains.
9 years of coding experience
Doctor of Philosophy - PhD, Medical Engineering and Medical Physics, Doctor of Philosophy - PhD, Medical Engineering and Medical Physics at Massachusetts Institute of Technology
Bachelor of Science - BS, Engineering Physics, Bachelor of Science - BS, Engineering Physics at KTH Royal Institute of Technology
English, Swedish, Chinese, German, French