Team

I joined Fraunhofer SCAI in October 2019 as a master’s student and I am currently doing my PhD. My current area of research is the use of machine learning methods for predicting disease progression in neurodegenerative diseases.
 

Projects: Real4Reg

I’m a Computer Scientist that joined SCAI in late 2017. My main research focus is the development of applications for exploration, evaluation and visualization of data in the biomedical domain.

Projects: CePPH
 

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I am working at Fraunhofer SCAI Bio since 2017. My main research domain is the application of data science and artificial intelligence methods to clinical health data, currently in the context of neurodegenerative diseases.

Projects: IDERHA, NFDI4Health

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I'm a physicist and joined Fraunhofer in 2022 as a PhD student. My current research interest lies in combining dynamic and mechanistic models (e.g. ODEs) with methods from machine learning to predict, analyze and model pandemics such as COVID-19.
 

Projects: AIOLOS

With a background in computer science, I am now doing my PhD exploring applications of machine learning in the biomedical domain. My current project is the development of a model to recommend options of non-pharmaceutical intervention in pandemic situations.
 

Projects: AIOLOS

I am a physician who joined Fraunhofer SCAI in early 2023. My main focus is clinical research in Parkinson's disease using machine learning and statistical methods. My current project is about identification and prediction of different progression types in Parkinson's disease.

Projects: ParKInsonPredict

Coming from neurobiology, I am now using data science and machine learning to tackle biomedical problems. My current project involves drug repositioning using deep learning methods.

Projects: ADIS

I am a quantitative biologist and joined Fraunhofer SCAI in 2020 as a PhD. student. My research focuses on the generation and application of pre-trained language models for German text data from the clinical domain.

Projects: Real4Reg

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I'm a senior data scientist/researcher/project manager at Fraunhofer SCAI, passionate about pursuing healthcare and life science scientific challenges that improve the understanding of human biology and diseases. My research mainly focuses on developing AI methods to extract relevant biomedical interactions/relationships from unstructured data (such as scientific literature, clinical notes, and protein sequences).

Projects: Graph Machine Learning

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I am a computer scientist by formal training; broadly, my interests lie in recognizing and deciphering patterns in the sequence and structure of proteins, small molecules and interactions between them. My research at SCAI focuses on the development of deep learning methods for solving problems in the area of targeted protein degradation.

I am an applied mathematician working in Fraunhofer since 2015, currently doing my PhD. My research focuses mainly on the application of machine learning algorithms to gene expression data and its possibilities for precision medicine.

Projects: Zentrum für Maschinelles Lernen, DIGIPD

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I am a researcher from Fraunhofer Portugal AICOS and a PhD student in Biomedical Engineering. Currently, I am visiting Fraunhofer SCAI to explore new Deep Learning methods to deal with the challenges of longitudinal real-world medical data, namely the high variability of available information.

I am a biomedical engineer and joined Fraunhofer SCAI in June 2022 as a PhD student. My current research focuses on hybrid AI models to combine machine learning and pharmacological models to predict and analyze the effect of biomedical variables on patients' behavior for clinical studies.

Projects: Scientific Machine Learning

Currently, I am working toward a Master's in Computer Science at the University of Bonn. I joined Fraunhofer SCAI in July 2023 for my Master thesis. My goal is to generate realistic and privacy-preserving synthetic EHRs using GPT language model.

I joined Fraunhofer SCAI in October 2022 for my computer science bachelor thesis, here I fine-tuned a BERT model using structured EHR data to predict Parkinson's disease. After completing my bachelor thesis, I continued working on the project. Currently, I’m pursuing a Master's degree in Computer Science at the University of Bonn.

I'm currently a student at RheinAhrCampus in Remagen and pursuing a Master's degree in Applied Mathematics. I joined SCAI in August 2023 to work on my Master's thesis. My focus is adjusting a known graph neural network approach for interpreting single-cell sequencing data.

I’m currently pursuing a Master's degree in Life Science Informatics at the b-it and joined Fraunhofer SCAI in June 2023 to work on my Master thesis. My current research focuses on the development of multi-state sleep models for the diagnostic prediction of Alzheimer’s disease.