Michalis Papakostas
Applied Machine Learning Researcher at Trase
Chicago, Illinois, United States
Summary
👤
Senior🎓
Top SchoolMichalis Papakostas is an applied machine learning researcher and engineer with a decade of experience building multimodal ML systems and human-centered AI for assistive technologies. He has led interdisciplinary projects from university labs to industry—developing in-ear device-fit automation, multimodal data-logging for hearables, and music AI systems—translating research prototypes into product-facing solutions. His work spans computer vision, audio/speech, wearable sensor fusion, and human–machine interaction, with applied research published at top conferences and collaborations with industry partners like Toyota Research Institute. At GN and SourceAudio he combined technical leadership with stakeholder-facing project management, prioritizing ethical, user-centered AI for people with hearing loss and for artists. Now based in Chicago and working at Trase, he brings rare cross-domain fluency: deep research rigor plus hands-on engineering to ship ML systems in the wild. An underappreciated strength is his consistent emphasis on real-world data collection and study design, ensuring models are grounded in human behavior rather than lab-only benchmarks.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at The University of Texas at Arlington5-year Diploma Electronics and Computer Engineer, 5-year Diploma Electronics and Computer Engineer at Technical University of Crete
English, German, Greek
Stackoverflow
91reputation
8kreached
4answers
9questions
Github Skills (83)
sequence10
midi9
music-information-retrieval9
mechanism8
music8
generative-model8
machine-learning8
music-generation8
unet-image-segmentation7
deep-learning7
backend7
osrm7
model-conversion7
openstreetmap7
tokenizer7
Programming languages (4)
Github contributions (5)
MikeMpapa/CNNs-Speech-Music-Discrimination
Sep 2016 - Aug 2018
Contributions:86 commits, 81 pushes, 1 branch in 1 year 10 months
MikeMpapa/EEG-Dataset--Sequence-Learning
Mar 2018 - Jul 2018
Contributions:4 commits, 3 pushes, 1 branch in 4 months
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