Dmytro Velychko

Machine Learning lab of Prof. Jörg Lücke, Department of Medical Physics and Acoustics, Carl von Ossietzky University of Oldenburg. Tutor for ”Machine Learning–I” and ”Machine Learning–II” courses, additional tutorials on Bayesian statistics. Co-supervised master’s students and two PhD students in neuroscience and machine learning research projects. Member of FoDL (Theoretical Foundations of Deep Learning) DFG Priority Program 2298. Member of Hearing4all (Cluster of Excellence).

Ph.D., Psychology/Cognitive Science. Theoretical Neuroscience Group of Prof. Dr. Dominik Endres, Department of Psychology. Dissertation: ”Probabilistic Models of Motor Production”, Magna cum laude. I derived modular, biologically inspired and computationally tractable models of movement primitives in an approximately Bayesian framework. Validation by psychophysical experiments. Teaching assistant at ”Machine Learning and Bayesian Statistics” and ”Theoretical Neuroscience” courses.

Experiments and data analysis with CMOS multi-electrode arrays for neural tissue recording and stimulation. Lab of Dr. Günther Zeck.

Development of algorithms and software for analysis of 2-photon images of neural activity in retina. Lab of Prof. Thomas Euler.

Research in: Bayesian networks, Gaussian processes, variational inference, motor control, stochastic optimal control, motor primitives, stochastic dynamical systems, probabilistic machine learning.

Neural Data Analysis