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

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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: Psych-STRATA, NFDI4Health

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Since 2023, I have been working at SCAI as a working student. Currently, I am working on my master's thesis with the aim of estimating the causal effects of lifestyle variables on the risk of developing Parkinson's disease using modern machine learning algorithms.
 

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With a background in both computer science and biology, I joined SCAI in 2022 for my bachelor’s thesis. I continued working at SCAI during my master’s degree and also completed my master’s thesis here. My work focuses on leveraging electronic health records to predict health outcomes using transformer models. In this context, I explore various transfer learning approaches, including domain adaptation techniques.
 

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I joined SCAI in September 2025 with a background in biomedical engineering and neuroscience. I am now doing a PhD as a Marie Skłodowska-Curie Actions (EU) doctoral researcher in the AIPD network. My research focuses on the use of Neural Differential Equations-based models to generate patient-specific counterfactual scenarios (ie, a digital twin) of Parkinson's Disease.

Projects: AIPD

With a background in computer science, I am now doing my PhD exploring applications of causal machine learning in the biomedical domain. In my current project, I am investigating the research hypothesis that a SARS-CoV-2 infection may increase the risk of developing neurodegenerative diseases later in life.
 

Projects: COMMUTE

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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

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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/project manager, passionate about pursuing healthcare and life science scientific challenges that improve the understanding of human biology and diseases. My research focuses on developing AI methods to extract relevant biomedical interactions/relationships from unstructured data (e.g., scientific literature, clinical notes, and protein sequences).

Projects: IDERHA, industry project

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I joined the group as a post-doctoral researcher in 2024, driven by a passion for applying AI methods in healthcare to advance our understanding of human biology and disease. My current research focuses on developing AI models for individualized predictions and disease prognoses, aiming to enhance decision support and personalized patient care.
 

Projects: CERTAINTY

I joined Fraunhofer SCAI in December 2025 as a postdoctoral researcher. I focus on Personalized Federated Learning and Time-to-Event Models in healthcare. In the IDERHA project, I develop AI models to predict lung cancer risk and prognosis based on real-world data.

Projects: IDERHA

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: PREDICTOM

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As a senior scientist and project group leader at Fraunhofer SCAI, I develop digital biomarkers from real-world sensor data for clinical research. My work combines app-based data acquisition, multimodal sensors, and machine learning to create robust endpoints, particularly for neurodegenerative diseases. I aim to bridge the gap between research and real-world healthcare applications.

I joined Fraunhofer SCAI in 2019, where I completed my master’s thesis and PhD studies in biomedical data science. As a postdoctoral researcher, I focus on data integration, patient stratification, predictive modeling, and federated learning in healthcare. In the EU project CERTAINTY, I develop AI models to support individualized treatment decisions and advance precision medicine.
 

Projects: CERTAINTY

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I am a mathematician and joined Fraunhofer SCAI in 2024 as a PhD student. My research focuses on developing generative AI models for the personalized prediction and simulation of patient trajectories as part of a digital twin.
 

Projects: CERTAINTY

I joined Fraunhofer SCAI in October 2025 as a PhD student. My primary research focus is on enhancing the generalizability of AI models for predicting cognitive decline in patients with Parkinson's disease.

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, SYNTHIA

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As an applied mathematician, I joined SCAI in 2025 with the intention of contributing to relevant applications of AI and data science in biomedicine. The objective of my current research is to apply AI methods to support regulatory decision-making based on real-world data.
 

Projects: Real4Reg

Medical Biotechnologist turned Life Science Informatics researcher, currently completing my Master’s thesis on personalized federated learning, developing and evaluating AI approaches within the IDERHA project at Fraunhofer SCAI.

I joined Fraunhofer SCAI in October 2025 to work on my applied mathematics master’s thesis. My work focuses on developing and applying a reinforcement learning approach to optimize personalized dosing strategies.

After studying Maths and Music, I am currently finishing my Masters degree in Data Science and Artificial Intelligence. My current project at SCAI involves finding an AI solution to the prediction of drug resistance in psychiatry.