Skip to content
View kjappelbaum's full-sized avatar
🤹‍♀️
I should be writing...
🤹‍♀️
I should be writing...

Sponsoring

@numfocus
@python

Block or report kjappelbaum

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
kjappelbaum/README.md

Hi there 👋

I'm a research group leader in Germany (FSU Jena, Helmholtz Center for Polymers in Energy Applications) looking into how data can be used to expedite materials design and discovery. I've been developing tools for MOFs, but also generally applicable ML systems. For this, I'm also looking into ways to improve data capture and dissemination in experimental chemistry. For example, I've been collecting interesting datasets that we are now using to train a chemistry LLM, in the ChemNLP project, that I co-lead.

Pinned Loading

  1. gptchem Public

    Jupyter Notebook 250 43

  2. awesome-chemistry-datasets Public

    overview of datasets for ML in chemistry

    316 33

  3. lamalab-org/pyepal Public

    Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.

    Python 40 6

  4. lamalab-org/mofdscribe Public

    An ecosystem for digital reticular chemistry

    Python 48 8

  5. OpenBioML/chemnlp Public

    ChemNLP project

    Python 159 45

  6. ml_molsim Public

    Machine learning exercises for the MolSim course (http://www.acmm.nl/molsim/molsim2023/index.html)

    Jupyter Notebook 26 15

2,124 contributions in the last year

Contribution Graph
Day of Week May June July August September October November December January February March April
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
Less
No contributions.
Low contributions.
Medium-low contributions.
Medium-high contributions.
High contributions.
More

Activity overview

Loading A graph representing kjappelbaum's contributions from April 21, 2024 to April 27, 2025. The contributions are 58% commits, 18% issues, 16% code review, 8% pull requests.

Contribution activity

April 2025

Created 1 repository
Reviewed 5 pull requests in 3 repositories

Created an issue in lamalab-org/chembench that received 1 comment

Opened 8 other issues in 3 repositories
27 contributions in private repositories Apr 1 – Apr 26
Loading