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
Ana Luiza de Santana Villasboas Arruda
Helmholtz Munich
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
Robin Greif
IPP
Alexander Guy
Helmholtz Munich
Patrick Hanel
Helmholtz Munich
Katharina Hechinger
LMU
Contact
Project title: From Large Scale Earth Observation Data to Urban Climate Zones
Domain: Earth observation
Class of 2020
Supervisors:
Göran Kauermann, LMU
Xiaoxiang Zhu, TUM
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
Hugo Loureiro
Helmholtz Munich/Roche
Contact
Project title: Real-world data analysis to support precision medicine in oncology
Domain: Biomedicine
Class of 2019
Supervisors
Fabian Theis, Helmholtz Munich
Narges Ahmidi, Helmholtz Munich / Anna Bauer-Mehren, Roche
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
Giovanni Palla
Helmholtz Munich
Contact
Project title: Generative models for single cell omics data
Domain: Biomedicine
Class of 2019
Supervisors
Fabian Theis, Helmholtz Munich
Heiko Lickert, Helmholtz Munich
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
Sayedali Shetab Boushehri
Helmholtz Munich/Roche
Archit Singh
Helmholtz Munich
Andreina Tirabassi
Helmholtz Munich
Aysim Toker
TUM
Contact
Project: Deep Learning Meets Sequence Analysis in Remote Sensing
Domain: Earth observation
Class of 2019
Supervisors
Laura Leal-Taixe, TUM
Xiaoxiang Zhu, TUM
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
Yehor Yudin
IPP
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
