Federico Parisi

Principal Data Scientist

Boston, Massachusetts, United States
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Summary

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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.
code5 years of coding experience
job9 years of employment as a software developer
bookDoctor of Philosophy (PhD), Information Technology, Doctor of Philosophy (PhD), Information Technology at Università degli Studi di Parma
languagesEnglish, Spanish, Italian
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Github Skills (15)

python-interface10
computational-science9
python9
parallel-computing9
multiphysics9
numerical-methods9
openmp9
simulation9
modularity9
mpi9
parallel8
bsd8
extensibility8
kratos8
hpc7

Programming languages (1)

C++

Github contributions (2)

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federicoparisi/lammps

Jan 2024 - Jan 2024

Contributions:1 push, 1 branch in 1 day
KratosMultiphysics/Kratos

Aug 2020 - Sep 2020

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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Federico Parisi - Principal Data Scientist