Prof. Dr. Holger Fröhlich


Research interests: machine learning & statistical data mining with application to precision medicine, systems medicine and drug discovery.

DIGIPD, NFDI4Health, VirtualBrainCloud, RADAR-AD, COPERIMOplus

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Mohamed Aborageh


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.


Colin Birkenbihl


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: VirtualBrainCloud, RADAR-AD

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Sophia Krix


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.


Manuel Lentzen


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




Thomas Linden


I’m a mathematician and joined Fraunhofer SCAI’s group “AI & Data Science” in 2020 as a data scientist. My area of research is developing methods and models in the field of life science and precision medicine.

Projects: COPERIMOplus


Sumit Madan


Hwei Geok Ng


Tamara Raschka


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

Zentrum für Maschinelles Lernen

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Meemansa Sood


I am a Bioinformatician working in Fraunhofer since 2015, currently doing my PhD. My main area of research focuses on longitudinal disease modeling and virtual patient simulation for neurodegenerative diseases. My research also focuses on establishing novel links between digital and clinical biomarkers for Alzheimer’s disease.

Projects: EPAD, AETIONOMY, RADAR-AD, Virtual Brain Cloud

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Bachelor & Master Students


Christina Braun


Lauren Nicole DeLong


I am an American Fulbright and DAAD research fellow with the Artificial Intelligence and Data Science Cohort. My work focuses on Network Representation Learning for drug target and side effect prediction.

Drug Target Prioritization for COVID-19


Uzay Gökay


Cindy Ku


Dr. rer. nat. Christine Robinson


Ilya Yalchyk


I am a master’s student in life science informatics and joined Fraunhofer SCAI in October 2020. Currently, I am working on a deep learning model for clustering of multivariate short time series data with potentially many missing values to improve Alzheimer's disease progression modeling.