Linde and the MDSI have partnered to promote excellent PhD fellows across different fields in order to strengthen interdisciplinary research addressing data science challenges. The Linde/MDSI PhD Fellows are an essential part of MDSI's thriving and dynamic research atmosphere. They participate in the specially tailored MDSI training program, and they are co-located at the facilities of the institute as needed. MDSI strongly supports their collaboration and interaction with fellows and faculty from other areas of research.
Ayshah Chan
Knowledge Distillation from Big Administrative Data (KnowDisBAD)
Supervisor: Prof. Dr. Marco Körner
Mariia Gladkova
Computer Vision & Artificial Intelligence
Dynamic Simultaneous Localization and Mapping
Supervisor: Prof. Dr. Daniel Cremers
Heiko Hoppe
Operations and Supply Chain Management
Scalable Reinforcement Learning for Industrial Applications
Supervisor: Prof. Dr. Maximilian Schiffer
Wenke Karbole
Artificial Intelligence in Healthcare and Medicine
Supervisor: Prof. Dr. Daniel Rückert
Arthur Kosmala
Data Analytics and Machine Learning
Molecular Modelling Based on Neural Networks with Long-Range Methods from Physics, Chemistry, and Materials Science
Supervisor: Prof. Dr. Stephan Günnemann
Kristina Mach
Computer Aided Medical Procedures
Computer Vision for Ophthalmologic Surgery
Supervisor: Prof. Dr. Nassir Navab
Julian Mayer-Steudte
Theoretical Particle and Nuclear Physics
Theoretical Particle Physics, Computational Physics
Supervisor: Prof. Dr. Nora Brambilla
Yukiteru Murakami
Controlling Patterns with a Spatial Light Modulator During Si Electrodissolution
Supervisor: Prof. Dr. Katharina Krischer
Thorben Prein
Materials Representation Learning for Synthesis Planning
Supervisor: Prof. Dr. Jennifer Rupp
Yanfei Shan
Chair of Sustainability Assessment of Food & Agricultural Systems
Integrating Deep Learning and Satellite Imagery for Biodiversity Assessment
Supervisor: Prof. Dr. Livia Cabernard
Johanna Sommer
Data Analytics and Machine Learning
Robustness of Neural Networks for Combinatorial Optimization
Supervisor: Prof. Dr. Stephan Günnemann
Lena Straßer
Data Science in Systems Biology
A joint framework integrating microRNA and transcription factor regulation analysis at bulk and single-cell level
Supervisor: Prof. Dr. Markus List
Nils Sturma
Identifiability and Inference of Causal Effects in Latent Variable Models
Supervisor: Prof. Dr. Mathias Drton
Kamilia Zaripova
Computer Aided Medical Procedures & Augmented Reality
Geometric Deep Learning
Supervisor: Prof. Dr. Nassir Navab
Axel Zimmermann
Physics Augmented Machine Learning for Thermoacoustic Modeling
Supervisor: Prof. Wolfgang Polifke, Ph.D.