Career Profile
Hey, there! I’m Lukas, a PhD student in computational biology shared between ETH Zürich (D-BSSE) and Roche (IHB). I specialize in computational genomics, systems biology, and machine learning applications. For my PhD studies I want to decode how gene regulatory networks are rewired in the intestine and which components are truly unique to humans. For that I’m using single-cell multi-omics, perturbation & comparative genomics data.
Experiences
Multimodal analysis of intestinal tissue & 3D cell culture models
- Single-cell RNA/ATAC sequencing
- Comparative genomics
- Perturbation modeling
- Machine learning
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
Publications
Skills & Proficiency
Python
R
Bash
HTML5
CSS3
Javascript
MongoDB
PyTorch
Tensorflow
