Assistant Professor In Neuroscience at Rochester Institute of Technology
City of Rochester, New York, United States
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Summary
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Senior
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Marco Orellana is an Assistant Professor in Computational Neuroscience and a software engineer with 10 years of experience applying signal processing, advanced statistics, and deep learning to biomedical time series. He bridges academic research and industry practice, having translated methods into usable Python libraries, built WebGL brain visualizations, and driven AI-for-health projects from OsloMet to UC Irvine and RIT. His work emphasizes principled combinations of deterministic signal techniques and stochastic representations, enabling interpretable models for complex physiological signals. Marco’s background spans satellite systems, telecommunications, and IoT-optimized software, a breadth that informs his pragmatic, systems-level approach to neural data problems. He publishes and contributes tools that make cutting-edge methods accessible to clinicians and data scientists alike.
10 years of coding experience
6 years of employment as a software developer
Post-graduate specialist, TKSAT-1 Satellite Mission Space Segment and Satellite Design, Post-graduate specialist, TKSAT-1 Satellite Mission Space Segment and Satellite Design at China Academy of Space Technology - Shenzhou Institute - 中国空间技术研究院神舟学院
Bachelor of Applied Science (B.A.Sc.), Telecommunications Engineering, Bachelor of Applied Science (B.A.Sc.), Telecommunications Engineering at Universidad Católica Boliviana
Master of Science (MSc), Computer Science, Master of Science (MSc), Computer Science at Universidade Federal de Viçosa
Postgraduate research, Statistics, Postgraduate research, Statistics at King Abdullah University of Science and Technology
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at OsloMet – storbyuniversitetet
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