apahl / nim_magic

Nim cell magic for JupyterLab or Juypter Python Notebooks.

About Me

Name: Dr. Axel Pahl (ORCID)

Keywords

Cell painting, Cheminformatics, Data science, Medicinal chemistry;
Python, RDKit, Pandas, Flask, Panel, Seaborn;
Rust, SQL, Pipeline Pilot

Short Profile

PhD (Dr. rer. nat.) in organic chemistry. Strong background in medicinal chemistry (lab leader in pharmaceutical industry for 9 years). Cheminformatics and data science. Linux enthusiast, interested in programming languages, general geek.
Current position: Chemoinformatician / data scientist at Max-Planck-Institute (MPI) of Molecular Physiology, Dortmund (Germany). Responsible for down-stream processing, analysis and visualization of Cell Painting results.
Looking for new opportunities (in Germany).

Skills

Languages

• German: Native
• English: Fluent

IT

• General: Focus on open and free systems whenever possible

• OS: Predominantly Linux; Windows

• Extensive knowledge of programming languages:

  • Many years of experience in programming in Python, mainly using the Python data science stack (Numpy, Pandas), web services via Flask and Panel, visualization via Matplotlib, Seaborn, Holoviews, Altair
  • Additional experience in programming in Rust, Go and Nim

• High familarity with tools and libraries

  • RDKit (Talks at 2 RDKit UGMs)
  • Pipeline Pilot expert user
  • Managing cluster workflows using SLURM
  • Compound registration in Oracle databases, database admin

Recent Publications and Talks

See separate document.