Guilian Luchini

Scientist, Next Generation Medicine Design

San Diego, California, United States
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Summary

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Senior
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Top School
Guilian Luchini is a Senior Scientist in San Diego with nine years of experience applying computational chemistry to drug discovery and development. After earning a BS in Chemistry and Computer Science and completing a PhD at Colorado State University, he focused his graduate work on digital molecular representations for reaction prediction and optimization. He transitioned from academic research and industry internships at GSK into scientific roles at Bristol Myers Squibb, progressing from Scientist to Senior Scientist. Guilian blends deep theoretical chemistry with practical computational tool development, helping translate ML-driven molecular ideas into project-ready candidates. He’s comfortable at the intersection of code and chemistry, having taught and mentored in physical chemistry while building expertise in molecular design workflows. Colleagues describe him as a pragmatic problem-solver who brings academic rigor to fast-paced drug discovery teams.
code9 years of coding experience
job1 year of employment as a software developer
bookDoctor of Philosophy - PhD, Chemistry, Doctor of Philosophy - PhD, Chemistry at Colorado State University
bookACS Certified Bachelor of Science (BS), Chemistry and Computer Science, ACS Certified Bachelor of Science (BS), Chemistry and Computer Science at University of Portland
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Github Skills (37)

conda-forge10
dft10
conda10
forge10
harmonic10
gaussian10
temperature10
structural-biology9
molecular-simulation9
materials-informatics9
python9
bioinformatics9
crystallography9
chemistry9
cheminformatics8

Programming languages (3)

ShellJupyter NotebookPython

Github contributions (5)

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luchini18/GoodVibes

Jan 2019 - Dec 2020

Calculate corrections to thermochemical data from Gaussian output files
Contributions:5 PRs, 111 pushes, 1 branch in 1 year 10 months
calculategaussianpythoncorrections
patonlab/DBSTEP

Aug 2019 - Sep 2022

DBSTEP: DFT-based Steric Parameters - python-based tool to extract molecular shape and steric descriptors from essentially any structure format
Contributions:6 releases, 1 review, 132 commits in 3 years 2 months
rdkitpythonbioinformaticsparameterssteric-parameters
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Guilian Luchini - Scientist, Next Generation Medicine Design