Federico Parisi is a Principal Data Scientist in Boston with a PhD in Information Technology and five years of industry-focused experience applying machine learning to digital health. He transitioned from a strong academic track—postdoctoral roles at Spaulding Rehabilitation Hospital and Harvard Medical School—into industry, bringing deep expertise in wearable sensors, mobile health, and digital biomarkers. At Johnson & Johnson Innovative Medicine he applies motion analysis and ML to translate clinical-grade sensor data into actionable insights for patient care. Earlier work as a freelance Android developer gives him pragmatic product-building skills and an appreciation for end-to-end systems from embedded data collection to deployed models. Known for bridging rigorous research methods with product-driven delivery, he often surfaces practical digital biomarkers that are robust to real-world noise.
5 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (PhD), Information Technology, Doctor of Philosophy (PhD), Information Technology at Università degli Studi di Parma
Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.
Contributions:4 reviews, 2 PRs, 6 pushes in 26 days
mpipythonbsd-licensemodularityc-plus-plus
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