Michael Figurnov
Senior Staff Research Scientist at Google DeepMind
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolMichael Figurnov is a Senior Staff Research Scientist at Google DeepMind in London with 11 years of experience at the intersection of deep learning, Bayesian methods, and computational biology. He played a contributing role in AlphaFold, helping solve the protein structure prediction problem, and brings strong probabilistic modeling expertise to large-scale ML research. His background spans research and engineering—from building production recommender systems early in his career to implementing special mathematical functions within the Eigen library—demonstrating fluency in both algorithmic theory and numerical software. He holds a PhD in Computer Science from the Higher School of Economics and a top-ranked Specialist degree from Moscow State University, reflecting deep formal training alongside hands-on system-building.
11 years of coding experience
10 years of employment as a software developer
Specialist, Computer Science, GPA 4.9/5.0, Specialist, Computer Science, GPA 4.9/5.0 at Московский Государственный Университет им. М.В. Ломоносова (МГУ)Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Higher School of EconomicsLyceum of Information Technologies
Английский, Русский
Github Skills (10)
numerical-analysis10
c-language10
f10
matrix10
cprogramming-language10
blas10
lapack10
linear-algebra10
c-templates9
cpp-templates9
Programming languages (6)
Github contributions (5)
eigenteam/eigen-git-mirror
May 2018 - Jun 2018
THIS MIRROR IS DEPRECATED -- New url: https://gitlab.com/libeigen/eigen
Role in this project:
Back-end Developer
Back-end DeveloperContributions:6 commits in 7 days
Contributions summary:Michael primarily contributed to the implementation of special mathematical functions within the Eigen library. Their work includes the addition of exponentially scaled modified Bessel functions and derivatives of the incomplete Gamma function. The user also improved the existing incomplete Gamma function by updating the stopping criteria in the continued fraction expansion. Additionally, the user was involved in fixing compilation issues and merging updates from the main Eigen repository.
lapackeigenvalueslinear-algebrasparse-matrixeigen
mfigurnov/sact
Feb 2017 - Aug 2019
Spatially Adaptive Computation Time for Residual Networks
Contributions:57 commits, 15 pushes, 3 branches in 2 years 7 months
computationresidual-networksadaptiveconvolutional-neural-networkresidual
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