Markus Michael Rau

Lecturer in Data Science

Downers Grove, Illinois, United States

About

I thrive on challenging problems. I am an experienced researcher and project leader in Observational Cosmology, Applied Bayesian Deep Learning, and Bayesian Statistics. My experience covers a wide range of techniques, from Deep Learning and Reinforcement Learning to Bayesian Hierarchical Modeling, Markov models, Spatial Statistics, and Operations Research.

Experience

  • Lecturer at Newcastle University
    Jan 2024 - Present · 2 yrs 7 mos

  • Postdoctoral Researcher at Argonne National Laboratory
    Aug 2022 - Jul 2023 · 1 yr

  • Postdoctoral Research Fellow at Carnegie Mellon University
    Nov 2017 - Aug 2022 · 4 yrs 10 mos

    I work as a Postdoctoral Research Fellow for Cosmology and Machine Learning at the McWilliams Center for Cosmology. I'm particularly interested in applications of Bayesian Machine Learning and Hierarchical modeling to study the growth of structure and dark energy.

  • PHD Student at LMU - Ludwig-Maximilians-Universität München
    Oct 2014 - Nov 2017 · 3 yrs 2 mos