Our research encompasses diverse projects and collaborations at the Ruhr-University Bochum and beyond. Find below information about the PI and the current team.
PI | Post-Doctoral | PhD | Bachelor’s and Master’s
Johannes is Professor of Mathematical Statistics at the Ruhr-University Bochum. His educational training spans physics, mathematics, and statistics. After receiving a MSc in Physics, he started his Doctor of Sciences under the supervision of Sara van de Geer and Peter Bühlmann at ETH Zürich in December 2009 and completed the degree in December 2012. After that, he was a postdoctoral researcher hosted by Martin Wainwright at UC Berkeley, until he accepted the position as the Jacob Wolfowitz Visiting Assistant Professor in the Department of Statistical Science at Cornell University in August 2013. In September 2015, he joined the University of Washington as Tenure-Track Assistant Professor of Statistics and Adjunct Assistant Professor of Biostatistics at the University of Washington. In December 2017, Johannes was appointed in Bochum. Johannes is also Affiliate Faculty at the University of Washington.
Johannes is member of the local organizing committee of the Bernoulli-IMS 11th World Congress in Probability and Statistics, he is associate editor at the Canadian Journal of Statistics, and he is part of the machine-learning and artificial-intelligence group at RUB.
Fang is a post-doctoral researcher in the group since August, 2018. She received her Master’s and PhD in Mathematics from University of Macau, China, in respectively 2015 and 2018. Fang has studied theories and methods for high-dimensional data. A particular focus of her current work with Johannes is on biological applications.
Yannick is a year PhD student in mathematical statistics at Ruhr-University Bochum. He studied computational engineering science at RWTH Aachen University and received his Master’s degree in 2017. Yannick is currently working with Johannes on methods for high-dimensional statistics and biostatistics. In particular, they are interested in the application of probabilistic graphical models in the field of genetics.
Pegah is a PhD student in mathematical statistics at Ruhr-University Bochum. She received her Master’s degree in artificial intelligence from IUT, Iran, in 2016. Pegah and Johannes are developing statistical theories for deep learning.
Shih-Ting is a PhD student in mathematical statistics at Ruhr-University Bochum He received his Master’s degree in mathematics from Temple University, USA, in 2015. Shih-Ting is working with Johannes on the development of novel methods for high-dimensional data.
Mike has received his Master’s degree in mathematics from Ruhr-University Bochum in 2019. He did his Master’s thesis with Johannes on high-dimensional graphical modeling. He is currently working on the intersection of high-dimensional statistics and deep learning. Mike is co-advised with Asja Fischer.
Ali has received his Master’s degree in applied mathematics from Sharif University of Technology. He did his Master’s thesis on rough paths and their applications in machine learning. Now, he is working on the mathematical theory of deep learning.
Mahsa is a PhD student in mathematical statistics at Ruhr-University Bochum. She received her Master’s degree in artificial intelligence from IUT, Iran, in 2017. Mahsa and Johannes are working at the intersection of mathematics and computer science in high-dimensional statistics.
Bachelor’s and Master’s Students
Koosha is working on the theory of machine learning.
Sandra is concerned with applied deep learning.
Seil is studying mathematical measures of complexity.