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Name: Axel Pahl

Type: User

Company: MPI of Molecular Physiology (Dortmund)

Bio: Med. Chemist turned Data Scientist. Linux enthusiast, programming in Python & Rust. Living between Hannover (home) and Dortmund (work).

Location: Germany, Dortmund (work) / Hannover (home)

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.

Axel Pahl's Projects

sdf_viewer icon sdf_viewer

interactive SDF Viewer presented originally at the RDKit UGM 2014

ui icon ui

A high level wrapper of libui for Nim, based on Araq's version.

utls icon utls

Small Go utilities and helpers imported by other programs

vstools icon vstools

Utilities for analyzing and reporting results from Smina virtual screens

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