Doctoral Researchers at MUDS

Lucas Arnoldt
Helmholtz Munich
Contacts

Project:Leveraging sparse Machine Learning of Multimodal Genotype-Single-cell data to investigate cell type- and disease-specific Genetic Regulation and predict Cellular Responses
Domain: Medicine & Health
Class of 2025
Supervisor
Fabian Theis, Helmholtz Munich
Julien Gagneur, TUM/Helmholtz Munich

Laura Bader
LMU
Contacts

Project title: Uncertainty Quantification for Deep Regression in Earth Observation: Enhancing Climate and Carbon Insights through Biomass Estimation
Domain: Earth observation
Class of 2025
Supervisors:
Göran Kauermann, LMU
Xiaoxiang Zhu, TUM

Valentina Belyaeva
Helmholtz Munich
Contacts

Project: Single-cell reference-based analysis of targeted sequencing data of pulmonary fibrosis
Domain: Biomedicine
Class of 2023
Supervisors
Malte Lücken, Helmholtz Munich
Herbert Schiller, Helmholtz Munich

Ali Oğuz Can
Helmholtz Munich
Contacts

Project:Machine learning methods to infer nuclear function and gene expression dynamics from combined high-throughput fluorescent microscopy and single-cell transcriptomics
Domain: Biomedicine
Class of 2024
Supervisor
Fabian Theis, Helmholtz Munich
Nicolas Battich, Helmholtz Munich

Muhammet Celik
Helmholtz Munich

Alexander Guy
Helmholtz Munich

Patrick Hanel
Helmholtz Munich

Eva Holtkamp
TUM / Helmholtz Munich
Contacts

Project title: Unraveling rare variant effects on complex traits using population-scale biobank data and machine learning
Domain: Biomedicine
Class of 2022
Supervisors
Julien Gagneur, TUM / Helmholtz Munich
Fabian Theis, Helmholtz Munich

Salome Kazeminia
Helmholtz Munich

Christopher Lance
Helmholtz Munich / LMU
Contact

Project title: Decoding transcriptional landscapes in patients with very early onset inflammatory bowel diseases
Domain: Biomedicine
Class of 2020
Supervisors
Fabian Theis, Helmholtz Munich
Daniel Kotlarz, LMU

Shubhankar Londhe
TUM / Helmholtz Munich

Benedikt Mairhörmann
Doctoral Researcher MUDS
Contact

Project title: Revealing yeast cell size control strategies using high-throughput live-cell imaging and automated, deep-learning based image analysis
Domain: Biomedicine
Class of 2020
Supervisors:
Pascal Falter-Braun, Helmholtz Munich / LMU
Kurt Schmoller, Helmholtz Munich

Laura Martens
Helmholtz Munich / TUM

Svitlana Oleshko
Helmholtz Munich / Boehringer Ingelheim
Contact

Project title: Multi-modal data integration in the central nervous system landscape
Domain: Biomedicine
Class of 2020
Supervisors
Annalisa Marsico, Helmholtz Munich
Matthias Heinig, Helmholtz Munich / Sergio Picart-Armada, Boehringer Ingelheim

Ghalia Rehawi
Helmholtz Munich
Contact

Project title: Understanding the heterogeneous effects of SARS-CoV-2 infections in the human population by defining individual molecular fitness patterns based on multi-level-data
Domain: Biomedicine
Class of 2021
Supervisors
Annalisa Marsico, Helmholtz Munich
Janine Knauer-Arloth , Helmholtz Munich

Alice Saparov
TUM / Helmholtz Munich

Patrick Schwehn
Helmholtz Munich

Archit Singh
Helmholtz Munich

Andreina Tirabassi
Helmholtz Munich

Korbinian Träuble
Helmholtz Munich / Roche
Contacts

Project: Prediction of atherosclerosis using single cell RNA sequencing of atherosclerotic plaque from the arteries and immune cells in the bloodstream
Domain: Biomedicine
Class of 2023
Supervisors
Matthias Heinig, Helmholtz Munich
Peter Kastner, Roche

Manuel Tran
Helmholtz Munich / Roche
Contacts

Project title: From digital pathology to multi-modal analysis: Using machine learning to generate valuable insights
Domain: Biomedicine
Class of 2022
Supervisors
Tingying Peng , Helmholtz Munich
Fabian Theis, Helmholtz Munich
Eldad Klaiman / Amal Lahiani , Roche

Harika Ürel
Helmholtz Munich
Contacts

Project: Genomic sensing of airborne pathogens
Domain: Biomedicine
Class of 2022
Supervisors
Lara Urban, Helmholtz Munich
Xiaoxiang Zhu, DLR

Oleg Vlasovetc
Helmholtz Munich
Contacts

Project title: MicroEnv – deciphering environmental effects on gut microbial ecosystems with high-dimensional statistical and deep learning techniques
Domain: Biomedicine
Class of 2020
Supervisors
Christian L. Müller, Helmholtz Munich / LMU
Annette Peters , Helmholtz Munich
Project: MicroEnv – deciphering environmental effects on gut microbial ecosystems with high-dimensional statistical and deep learning techniques
Domain: Biomedicine

Henrik von Kleist
Helmholtz Munich
Contact

Project title: Early Prediction of Neurological, Cardiovascular, and Pulmonary Morbidities in Preterm Infants via Analysis of their Combined Electronic Health Records, Omics and Imaging Data
Domain: Biomedicine
Class of 2020
Supervisors
Narges Ahmidi, Domain: Biomedicine
Daniel Rückert, TUM

Simon Wengert
Helmholtz Munich
Contact

Project title: Variations in mtDNA and their regulatory effects in single cells
Domain: Biomedicine
Class of 2020
Supervisors:
Na Cai, HMGU
Matthias Heinig , HMGU

Lea Zimmermann
Helmholtz Munich
Contacts

Project: Learning and modeling phenotypic single cell drug screens with application to human lung
Domain: Biomedicine
Class of 2023
Supervisors
Fabian Theis, Helmholtz Munich
Herbert Schiller, Helmholtz Munich