Summary
Filip Miscevic is a data scientist and PhD candidate specializing in neuroinformatics and rehabilitative brain-computer interfaces, with 11 years of interdisciplinary experience spanning neurotech, clinical research, and full-stack development. He currently develops EEG-based BCI applications at the Max Planck–University of Toronto Centre to rehabilitate speech and auditory attention, combining wearable biosignal acquisition with scalable data pipelines and machine learning. His industry work includes building seizure-detection and AWS-integrated ML systems for implantable device teams, and clinical EEG neurofeedback tools for cochlear implant assessment. With a rare blend of cognitive science, bioengineering, and software engineering training—including a flawless MSc record and broad teaching experience—he excels at translating lab-grade neuroscience into deployable tools. An unexpected through-line in his career is sustained engagement with education and outreach, from tutoring and course instruction to public-science exhibits, reflecting a talent for communicating complex technical ideas to diverse audiences.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Cognitive Science, Complex Networks and Systems/Informatics (dual major), Doctor of Philosophy (PhD), Cognitive Science, Complex Networks and Systems/Informatics (dual major) at Indiana University Bloomington
Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering, Doctor of Philosophy - PhD, Bioengineering and Biomedical Engineering at University of Toronto
Serbian, English, French, Spanish, Italian, German