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m-julian/README.md

Hi there πŸ‘‹ I'm Yulian

πŸ‘¨β€πŸ’» About Me

Computational Scientist developing models for enzyme activity, stability, and selectivity. My work spans quantum chemistry, molecular dynamics, high-performance computing, and machine learning and AI workflows. I have previously developed end-to-end ML interatomic potential pipelines for efficient simulation of biomolecules and crystalline materials. Interested in computational chemistry, drug discovery, materials science, and AI/ML.

πŸ› οΈ Tech Stack

Programming Languages:
Python C C++ Fortran SQL

Machine Learning / AI / Data Processing
PyTorch GPyTorch scikit-learn scipy pandas NumPy FastMCP

Tools / Platforms
Git Docker VS Code Linux SGE SLURM

Quantum Chemistry / Cheminformatics / Molecular Dynamics
Gaussian ORCA OpenMM CP2K RDKit

🌱 Currently Learning

Proxmox Networking OPNSense Kubernetes

Pinned Loading

  1. PhD-Thesis PhD-Thesis Public

    PhD Thesis 2024

    TeX

  2. m-julian.github.io m-julian.github.io Public

    Personal Github Pages

    HTML

  3. popelier-group/ichor popelier-group/ichor Public

    Computational Chemistry Data Management Library for Machine Learning Force Field Development

    Python 21 8

  4. ALFVisualizer ALFVisualizer Public

    Using pyvista to visualize Atomic Local Frame (ALF)

    Python

  5. k3s_ansible k3s_ansible Public

    k3s cluster deployment with Ansible

    1

  6. mathematics_for_machine_learning_solutions mathematics_for_machine_learning_solutions Public

    My Own Solutions to Mathematics for Machine Learning book by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong

    Python