COMBI Group
Computational Medicine & Biomedical
Intelligence
Dr. Andreas Maier
andreas.maier-1(a.t_))uni-hamburg.de
In May 2021, I started as a PhD student at CoSy.Bio (UHH). My tasks included work surrounding the REPO-TRIAL drug repurposing project where I contribute in the development and democratization of network-based drug repurposing solutions, which also is the topic I wrote my Dissertation about, which I successfully defended in September 2026.
Since multiple years my research further includes the potential and applications of LLMs in systems medicine for knowledge generation and extraction. Additionally, I am taking part in managing the development of a novel federated learning framework within the scope of the Microb-AI-ome and dAIbetes projects. At the same time we are exploring the potential and limits of AI, foundation, and world models trained on clinical data.
Julian Klemm
julian.klemm[a.t_))uni-hamburg.de
I'm a Ph.D. student at CoSy.Bio since April 2023 and part of the FeatureCloud and Microb-AI-Ome project.
I studied by B.Sc. of Biology at University Hamburg as well as my M.Sc. of Bioinformatics also at University Hamburg. In my master thesis I focused on privacy enhancing techniques for federated learning, especially differential privacy, while in my PhD my focus is on a federated data warehouse to allow easier data sharing in a privacy preserving manner. Generally, I'm focused on bringing privacy preserving tools for almost effortless federated collaboration.
simon.suewer[a.t_))uni-hamburg.de
Since January 2024 I am a PhD student at CoSy.Bio for the projects FeatureCloud (https://featurecloud.ai/) and dAIbetes. I completed my Bachelor of Science in Applied Computer Science at the University of Applied Sciences and Arts Hannover, followed by a Master of Science in Computer Science at the University of Vienna, specialising in Data Science. In my master thesis I worked on the combination of session- and sequence-based recommender systems in a dynamic Graph Neural Network (GNN), in particular on the development of hierarchical dynamic GNNs.
My current research aims at developing privacy-preserving tools that make federated collaboration not only easier, but almost effortless. By merging theory and practice, my goal is to create innovative solutions to complex challenges that redefine the way we think about data collaboration and privacy.
usman.ali[a.t_))uni-hamburg.de
I joined CoSy.Bio as a PhD candidate in July 2026, where I am working on the dAIbetes project.
I hold a Master's degree in Information and Communication Engineering from the University of Electronic Science and Technology of China. My background is in machine learning, artificial intelligence, computer vision, and backend software development. Before joining CoSy.Bio, I worked on AI and software engineering projects in both academia and industry.
At CoSy.Bio, I look forward to developing novel AI-driven methods for biomedical research while contributing to interdisciplinary collaborations at the intersection of artificial intelligence, bioinformatics, and computational systems medicine.
Jens Lohmann
jens.lohmann[a.t_))uni-hamburg.de
Since July 2023, I am a PhD student at CoSy.Bio. My studies focus on improving the health journey of patients by developing approaches for computer-supported personalized medicine. My current focus is developing a virtual twin model for diabetes type II patients. Beforehand, I explored defective viral genomes as novel therapeutic agents and applied federated learning techniques for histopathology foundation models in prostate cancer research. I received my bachelor's degree in Technical Biology at the University of Hamburg and continued with the master's program in Bioinformatics at the University of Hamburg.
kester.bagemihl[a.t_))uni-hamburg.de
After completing my Bachelor's degree in Biology at the University of Düsseldorf, I pursued a Master's degree in Bioinformatics at the University of Hamburg, where I developed a strong interest in applying computational methods to biological problems. I am currently a PhD student at the University of Hamburg, focusing on the use of Large Language Models (LLMs) and Federated Learning in biomedical research.
sina.pralle[a.t_))uni-hamburg.de
Since December 2025, I have been a PhD student at CoSy.Bio working on the dAIbetes project, where I focus on developing virtual-twin models for type 2 diabetes.
Before starting my PhD, I completed my Master’s in Intelligent Adaptive Systems at the University of Hamburg. I initially joined CoSy.Bio in November 2025 as a student assistant and later wrote my master’s thesis in the group, developing a secondary-structure-based protein language model. Prior to that, I obtained my Bachelor’s degree in Electrical and Computer Engineering in Bremen.