Research Associates

Maximilian Alber  graduated as B.Sc. and M.Sc. in computer science from Freie Univerität in 2013 and 2015. He is engaged in research and development of methods for analyzing and interpreting neural networks decision processes among other topics.

My primary research focus are scalable machine learning, especially in extreme classification settings, and deep learning."

+49 30 314 28682

Alexander Bauer received a B.Sc. in mathematics 2011 and a diploma in computer science in 2012, both from the Technische Universität Berlin, Germany. His scientific interests include different methods in the field of machine learning, in particular, learning with structured outputs.

+49 30 314 78755          alexander.bauer@mailbox.tu-berlin

Sasho Nedelkoski is a Research Associate working in the Complex and Distributed IT Systems (CIT) at TU Berlin. He received his M.Sc. in Computer Science from Technische Universität Berlin, Germany in 2018. He has been working on anomaly detection in large infrastructures, multimodal learning and efficient learning in distributed environments.

  My current research involves generative scalable weakly-supervised learning, deep learning and its application to IT systems optimizations."

+49 30 314-24813

Robert Schmidtke is a Research Associate working in the Distributed Algorithms and Supercomputing Department at Zuse Institue Berlin (ZIB). He received his M.Sc. in Computer Science with specialization in Algorithms and Data Structures from the University of Copenhagen in 2014.

My current research interests include developing fault tolerant systems for large scale data processing and management of distributed data."

+49 30 841 85-469

Kristof T. Schütt received the B.Sc. and M.Sc. in computer science from Technische Universität Berlin in 2010 and 2012, respectively. He has been working on explaining neural network decisions and building interpretable models.

My primary research interests cover learning from structured data and deep learning as well as its application to quantum chemistry."

+49 30 314 78755

Patrick Wagner is a research associate working in the Machine Learning department of Fraunhofer Heinrich Hertz Insitute (HHI). He graduated as B.Sc. and M.Sc. in computer science in 2015 and 2018 at Technische Universität Berlin.

  My research is focused on bio-medical applications of deep learning for microscopy, CT/MRI, histopathology and genomics."

+49 30 31002 264