Meet Our Team

Alexander Löser is Professor of Data Science working on deep learning and language models, contributing to national AI policy, and advising the federal government as well as DAX- and NASDAQ-listed companies.

Amr Mostafa is a postdoctoral researcher at the BHT. He holds a Ph.D. in Physical Chemistry from the University of Potsdam and focuses on microbiology and antimicrobial resistance.

Amy Siu is a professor of Software Development at the BHT. Her research area is Natural Language Processing, with a focus on text in the biomedical domain.

Arnold Schwarz is a Ph.D. candidate at the BHT under the supervision of Prof. Dr. Kristian Hildebrand. He holds an M.Sc. in Media Informatics from the BHT and focuses on machine learning and computer vision.

Elisabeth Grohmann is a PI in the APPL-FM project. Her research focuses on microbiology, molecular biology, antimicrobial resistance, biofilms, as well as horizontal gene transfer mechanisms.

Prof. Dr. Erik Rodner is a professor of Machine Learning and Data Science at HTW Berlin. His research focuses on developing machine learning algorithms for data-scarce scenarios, especially for computer vision applications.

Prof. Dr. Felix Biessmann is a Professor of Machine Learning at the BHT and the Einstein Center Digital Future, Berlin. His research at the Cognitive Algorithms Lab develops machine learning methods and applications with a strong emphasis on evaluation protocols, fairness, and transparency.

Felix Gers is one of the spokespersons for the APPL-FM project. His research focuses on Natural Language Processing, Neural Modeling, Deep Learning, as well as industrial and general applications of AI methods.

Golzar Atefi is a Ph.D. candidate at BHT under the supervision of Prof. Dr. Felix Gers. She holds an M.Sc. in computational neuroscience from Université Côte d’Azur and focuses on multimodal and cross-lingual language understanding.

Prof. Dr. Hannes Höppner is Professor of Humanoid Robotics at the BHT, where he leads the Soft Interactive Robotics Laboratory (SIRo Lab), focusing on soft humanoid robotics, teleinteraction, and dexterous mobile manipulation.

Prof. Dr.-Ing. Ivo Boblan is Professor of Humanoid Robotics at the BHT and leads the Compliant Robotics Laboratory (CoRoLab). His research focuses on the control of compliant robotic systems, as well as on data-driven learning of the dynamics of two-/four-legged walking robots.

Jan Frick is a PhD candidate at BHT under the supervision of Prof. Dr. Alexander Löser. He holds an M.Sc. in Media Informatics from the BHT and focuses on diagnoses predictions and medical reasoning.

Justus Westerhoff is a PhD candidate at BHT under the supervision of Prof. Dr. Felix Gers. He holds an M.Sc. in Mathematics from the University of Münster and focuses on biologically inspired machine learning and computer vision.

Prof. Dr. Kristian Hildebrand is a Professor of Computer Graphics and Interactive Systems and leads the Intelligent Interactive Systems group. His research focuses on intelligent, human-centered methods integrating computer vision and VR/AR.

Manuel Weiss is a Ph.D. candidate at the BHT, supervised by Prof. Dr.-Ing. Ivo Boblan. He holds an M.Eng. in Energy and Automation Systems from the BHT and focuses on inductive bias for data-driven control and system identification of robotic systems. 

Mario Koddenbrock is a Ph.D. candidate at HTW Berlin under the supervision of Prof. Dr. Erik Rodner. He holds an M.Sc. in Mathematics from FU Berlin and focuses on machine learning and computer vision.

Moritz Becker is a Ph.D. candidate at the BHT under the supervision of Prof. Dr. Simone Reber. He holds an M.Sc. in Biochemistry from FU Berlin and focuses on quantitatively characterizing the physical properties of the cytoplasm.

Steffen Puhlmann is a Ph.D. candidate at the BHT under the supervision of Prof. Dr. Hannes Höppner. He holds an M.Sc. in Computer Science from TU Berlin and focuses on developing dexterous soft robotic hands and adequate control strategies.

Tina Eichendorf is the coordinator for the Research Impulse (RI) and serves as a liaison between the participating researchers, the university administration, and university leadership. Through close and continuous exchange, she supports the implementation and further development of the RI’s research strategy and academic objectives.

Vipin Singh is a PhD candidate at BHT under the supervision of Prof. Dr. Felix Biessmann. He develops machine learning methods with a focus on holistic evaluation of models and robustness.