Daniel Lengyel
Quantitative Researcher
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolDaniel Lengyel is a quantitative researcher with eight years of experience bridging academic research and industry applications in optimization, interacting systems, and data-efficient function approximation. He completed a PhD at Imperial College London focused on derivative-free and distributed optimization and has taught advanced courses in computational optimisation, machine learning, and computational finance. Daniel has applied his research to real-world energy and HVAC control projects—deploying algorithms across commercial buildings—and interned in quantitative research at GSA Capital before joining GSA as a researcher. Equally comfortable with theory and deployment, he brings hands-on experience in control, IoT, and quantum computing education from his Berkeley years, and a proven track record of turning complex models into tested, operational systems.
9 years of coding experience
3 years of employment as a software developer
Bachelor's degree Applied Mathematics, Bachelor's degree Applied Mathematics at University of California, BerkeleyDoctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Imperial College London
English, German, Hungarian, Norwegian
Stackoverflow
453reputation
97kreached
0answers
2questions
Github Skills (20)
building-blocks9
sparse9
operating-system9
clustering8
nearest-neighbors8
linear-algebra7
statistics7
swiper-js6
cuda6
gpu6
netbeans6
encoding6
nuxt6
typescript6
information-retrieval5
Programming languages (4)
Github contributions (5)
apanagopoulos/XBOS-DR
Jan 2018 - Oct 2018
Contributions:208 pushes, 4 branches, 4 comments in 8 months
Do-Not-Circulate/GENNI
Nov 2020 - Dec 2020
Contributions:28 commits, 3 PRs, 13 pushes in 1 month
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