Baris Kayalibay
Artificial Intelligence Researcher at Foundation
Munich, Bavaria, Germany
Summary
👤
Senior🎓
Top SchoolBaris Kayalibay is an Artificial Intelligence Researcher based in Munich with a decade of experience advancing probabilistic machine learning for autonomous navigation. He holds a summa cum laude PhD from TUM and has worked across research and industry roles at Volkswagen and Foundation, bridging generative models, variational inference, model-based reinforcement learning and SLAM. Comfortable with Theano, TensorFlow, PyTorch and JAX, he blends theory—Bayesian inference and decision-making under uncertainty—with hands-on systems that run on mobile robots. His trajectory from a 2016 medical image segmentation thesis to PhD-level robotics research reflects a curiosity for real-world robustness and a habit of turning open problems into reproducible experiments and readable write-ups.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, summa cum laude, Doctor of Philosophy - PhD, Computer Science, summa cum laude at Technical University of Munich
Github Skills (28)
bayesian-methods8
generative8
statistics7
probabilistic7
machine-learning6
python6
probabilistic-programming6
tensorflow5
gpu5
deep-learning5
automatic-differentiation5
data-science5
pytorch5
programming-language4
variational-inference4
Programming languages (2)
Github contributions (5)
bkayalibay/kanki
Jan 2021 - Aug 2022
Contributions:500 pushes, 1 branch in 1 year 6 months
bkayalibay/breze
May 2016 - Oct 2018
Breze with all the stuff.
Contributions:4 pushes, 1 branch in 2 years 5 months
spigotminecraft
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