Ryan Cubero
Data Scientist
Vienna, Austria
Summary
👤
Senior🎓
Top SchoolRyan Cubero is a data scientist and statistical physicist with 8+ years translating complex biological and neural data into actionable insight using probabilistic modeling, machine learning, and custom software. He built and released morphOMICs, a Python library applying topological data analysis to characterize ~60,000 microglia morphologies, and has led high-impact analyses of single-nucleus transcriptomes, proteomics, and long-duration electrophysiology. Comfortable across Python, R, MATLAB and C++ on UNIX/Windows, he combines theoretical rigor from a PhD in statistical physics with hands-on algorithm and pipeline development in interdisciplinary teams. A fast learner and collaborative mentor, he has a track record of securing competitive research funding and fostering international collaborations that bridge physics, molecular biology and neuroscience.
8 years of coding experience
10 years of employment as a software developer
Bachelor's degree, Physics, Summa cum laude (1.1097 out of 1.000), Bachelor's degree, Physics, Summa cum laude (1.1097 out of 1.000) at Mindanao State University-Iligan Institute of TechnologyDiploma, Condensed Matter Physics, 3.58 (out of 4.00), Diploma, Condensed Matter Physics, 3.58 (out of 4.00) at Abdus Salam International Centre for Theoretical PhysicsMaster of Science - MS, Physics, Master of Science - MS, Physics at De La Salle UniversityDoctor of Philosophy - PhD, Statistical Physics, Doctor of Philosophy - PhD, Statistical Physics at SISSA
English, Italian, Cebuano, Filipino, German
Github Skills (2)
topological-data-analysis4
dimensionality-reduction1
Programming languages (1)
Github contributions (5)
rcubero/MSR
Jan 2018 - Nov 2022
Contributions:10 commits, 12 pushes, 1 branch in 4 years 10 months
rcubero/Trajectories
Feb 2018 - May 2023
Contributions:1 push, 1 branch in 5 years 3 months
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