Dionysios Barmpoutis is a quantitative strategist at Morgan Stanley with 13 years of experience bridging computational neuroscience, software engineering, and quantitative finance. Trained with a PhD in Neuroscience from Caltech and an MS in Computational Neuroscience from Columbia, he applies rigorous mathematical and algorithmic thinking to financial modelling and trading strategies. His background in electrical engineering and competitive coding—demonstrated by CodeForces algorithm contributions—underscores strong problem-solving and back-end implementation skills. Previously a principal SWE manager at Microsoft per his GitHub bio, he blends leadership in engineering with hands-on algorithm design. Based in New York, he brings a rare mix of neuroscience-informed modelling and production-grade software delivery to complex quantitative problems.
13 years of coding experience
California Institute of Technology
Bsc, Electrical Engineering and Computer Science, Bsc, Electrical Engineering and Computer Science at National Technical University of Athens
MS, Electrical Engineering, Computational Neuroscience, MS, Electrical Engineering, Computational Neuroscience at Columbia University
Contributions:3536 commits, 17 PRs, 3729 pushes in 9 years 8 months
Contributions summary:Dionysios demonstrates proficiency in algorithm design and problem-solving within the context of CodeForces, a platform for competitive programming. Their commits showcase the implementation of solutions for a variety of problems, ranging from simple programming exercises to more complex algorithmic challenges. The user's work involves the application of data structures and algorithms such as sorting, mathematical functions, and dynamic programming.
Contributions:236 commits, 196 pushes in 4 years 4 months
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