Michalis K. Titsias

Michalis K. Titsias is a Lecturer in the Department of Informatics at Athens University of Economics and Business, while concurrently serving as a Research Scientist at DeepMind. His research develops machine learning methodologies for Bayesian inference, variational methods, and probabilistic modeling.

Education includes:

• Diploma in Informatics, University of Ioannina
• MSc in Informatics, University of Ioannina
• PhD in Computer Science, University of Edinburgh

Research spans gradient-based MCMC, variational autoencoders, and Bayesian nonparametrics. Supervised students include Apostolos Adamakos (MSc), Charalambos Tamvakis (BSc), Manolis Christoforou (BSc), Styliani Loukatou (BSc), and Sevastianos Fournaris (MSc).

Developed open-source tools for Gaussian processes, variational inference, and Markov chain Monte Carlo methods. Teaching includes undergraduate and postgraduate courses in machine learning, statistics, and artificial intelligence.