Mihail Bogojeski
Machine Learning Researcher at D. E. Shaw Research
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolMihail Bogojeski is a machine learning researcher with 12 years of experience, currently applying ML to accelerate quantum chemical electronic-structure calculations at D. E. Shaw Research. He holds a PhD in Computer Science from Technische Universität Berlin where his dissertation focused on ML methods for electronic structure, and previously led neurotechnology and MEG analysis projects bridging brain-computer interfacing and time-series methods. His work blends deep learning, classical computational chemistry, and domain knowledge to deliver orders-of-magnitude speedups in simulation workflows. Based in New York, he combines rigorous academic training with hands-on research engineering across computational biology and knowledge-based systems, often translating theoretical advances into practical tooling. An underappreciated thread in his profile is sustained cross-disciplinary experience—from machine translation and systems tutoring to cutting-edge quantum chemistry—that enables rapid iteration between algorithm design and real-world scientific applications.
12 years of coding experience
10 years of employment as a software developer
Vienna University of TechnologyDoctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Technische Universität Berlin
English, Macedonian, German, slavic languages, Japanese
Github Skills (24)
matlab9
bids8
toolbox8
python6
cpp5
filesystem5
conda4
linux4
package-manager3
windows3
cross-platform2
setuptools2
ace2
jupyter-notebook2
neovim2
Programming languages (3)
Github contributions (5)
MihailBogojeski/para_2d-stencil
Dec 2013 - Feb 2014
Contributions:33 commits in 1 month
MIkioBo/bbci_public
Jun 2015 - May 2016
Contributions:6 pushes, 9 branches in 11 months
brainmatlab-toolboxmatlabtoolboxbci
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