Vaclav Smidl
Scientist at Regionální inovační centrum elektrotechniky (RICE)
Prague, Prague, Czechia
Summary
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Senior🎓
Top SchoolVaclav Smidl is a scientist and researcher with over 8 years of experience applying Bayesian inference, machine learning, and regularization techniques to real-world problems across medicine, network security, environmental science, and plasma physics. He holds a PhD from Trinity College Dublin and has a long-standing research affiliation with the Institute of Information Theory and Automation, where he focuses on atmospheric inversion modeling, image processing, and ML. Vaclav also works on Bayesian estimation and advanced control in high-power electroengineering at RICE and contributes to AI research at the Artificial Intelligence Center. His career blends deep theoretical expertise—particularly variational Bayes and inverse-problem regularization—with practical industrial experience in automation and control, giving him a rare ability to translate complex probabilistic methods into applied solutions. An understated strength is his sustained cross-disciplinary collaboration, evidenced by academic visits and joint publications bridging signal processing and applied sciences.
8 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy (PhD), Electrical and Electronics Engineering, Doctor of Philosophy (PhD), Electrical and Electronics Engineering at Trinity College, DublinIng, control engineering, Ing, control engineering at University of West Bohemia, Pilsen
English
Github Skills (25)
differential-equations10
automatic-differentiation9
julia9
gpu-acceleration7
julialang6
numerical6
wolfram-language5
generative5
classification5
machine-learning4
natural-language-processing4
nlp4
deep-learning3
bayesian3
active-learning3
Programming languages (5)
Github contributions (5)
aicenter/NeuralArithmeticBenchmarks
Sep 2020 - Oct 2021
Contributions:5 pushes, 1 branch in 1 year
smidl/VariationalFlux.jl
Nov 2020 - May 2021
Contributions:15 pushes, 1 branch in 5 months
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