Alex Atanasov
Quantitative Researcher
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAlex Atanasov is a quantitative researcher with a decade of experience bridging theoretical physics, machine learning, and financial markets, now working on equities statistical arbitrage at D. E. Shaw in New York. He holds a Harvard PhD in theoretical physics with published work on the statistical mechanics of deep learning, high-dimensional regression, NTK, and μP, and earlier string theory publications. His background spans applied ML roles—from de novo protein design with large language models to deploying TensorFlow models on embedded devices at Google—and internships at Jane Street and Google that blended production engineering with research. He is drawn to scaling and universality, applying rigorous math and statistical physics to practical inference problems and noisy time-series segmentation. A pragmatic communicator and educator, he has taught advanced courses at Harvard and Yale, turning complex theory into usable tools for researchers and engineers.
10 years of coding experience
6 years of employment as a software developer
PhD Theoretical Physics, PhD Theoretical Physics at Harvard UniversityMathematics (MS BS) Physics (BS), Mathematics (MS BS) Physics (BS) at Yale UniversityHigh School Diploma Concentration in Optics and Modern Physics, High School Diploma Concentration in Optics and Modern Physics at Thomas Jefferson High School for Science and Technology
English, Bulgarian, Latin, Macedonian
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (18)
sparse10
pde9
alex9
grid9
scientific-machine-learning9
julia9
discretization8
automatic-differentiation8
recurrent-neural-networks8
numerical7
keras4
tensorflow4
deep-learning3
css2
bootstrap2
Programming languages (3)
Github contributions (5)
ABAtanasov/Sparse-Grids
May 2016 - Aug 2016
Contributions:53 commits, 51 pushes, 1 branch in 2 months
ABAtanasov/GalerkinSparseGrids.jl
Jul 2016 - Jan 2020
Sparse Grid Discretization with the Discontinuous Galerkin Method for solving PDEs
Contributions:1 release, 139 commits, 3 PRs in 3 years 6 months
solvingautomatic-differentiationmethodsparsepde
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