Lukas Adam

Computational analysis of complex genomic datasets across human model systems

• Bulk, single-cell, epigenetic, and spatial genomics
• Reproducible data workflows
• Statistical modeling and machine learning

Multimodal analysis of intestinal tissue and 3D cell culture models

• Single-cell RNA/ATAC sequencing
• Comparative genomics
• Perturbation modeling
• Machine learning

Computational genomics work on human intestinal model systems

• Single-cell data analysis
• Multi-omics workflows
• Data visualization and reporting

Splicing effect prediction in single cells

• scNMT sequencing
• Deep learning

Image registration of CBCT data

• Image processing
• Database management (SQL)

Structure refinement of a membraneassociated complex in Mycoplasma pneumonia

• Cryo-electron tomography

Inferring dynamics of SARS-CoV-2 host cell interactions

• Bulk RNA sequencing
• Cloning, Cell culture & Cleavage probe assays

Combining image and RNA-seq analysis in order to study subcellular phenotypes

• 3D Light-Sheet Microscopy
• Image analysis
• RNA-seq
• Machine learning

Pipeline development for novel transcriptional recording systems

• Cloning, Cell culture
• Sequencing & Data analysis

Employing a deep neural network for the rapid identification of Hit molecules.

• Machine & Deep learning
• Molecular Dynamics Simulations
• In-silico Drug Screening