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0rkhann/README.md

Orkhan Abdullayev · Chemoinformatics · ML Engineering

$ whoami

orkhan = {
    "role":         "PhD student · Lab de Chémoinformatique, Université de Strasbourg",
    "working_on":   "chemlit, an AI research agent: literature → hypotheses → code → results",
    "into":         ["LLM agents for chemistry", "de novo molecular design",
                     "chemical space analysis", "bayesian optimisation",
                     "microkinetic modelling"],
    "open_to":      ["research collaborations", "internships"],
    "email":        "orkhan.abdullayev@etu.unistra.fr",
}

$ pip list --toolbox

Toolbox as a periodic table, each tile a tool: Python, RDKit, PyTorch, scikit-learn, Linux, Docker, GTM, Bayesian Optimisation, RAG, AI Agents, Claude, Git, AWS

Pinned Loading

  1. MicroKatc MicroKatc Public

    Automated microkinetic analysis of interconnected catalytic cycles from DFT outputs: apparent activation energy, degree of rate control and catalyst speciation (ACS Catal. 2025)

    Python 3

  2. nhc-bo-benchmark nhc-bo-benchmark Public

    Bayesian optimisation benchmark for N-heterocyclic carbene design on xTB binding free energies: FABO, PCA, PLS and OPLS against a vanilla GP and model-free controls on DFT descriptors, ChemBERTa-2 …

    Python

  3. neptune neptune Public

    Forked from schwallergroup/saturn

    Branch of SATURN for Peptidomimetics Design (NEPTUNE)

    Python