Luca Gagliardi
Postdoctoral Researcher at MaLGa - Machine Learning Genoa Center
Genoa, Liguria, Italy
Summary
👤
Senior🎓
Top SchoolLuca Gagliardi is a computational scientist and postdoctoral researcher with nine years of experience building simulation software and models across condensed matter, biophysics, and robotic perception. He combines a strong academic pedigree (PhD in Physics, MSc in Computational Science with top honors) with hands-on development of numerical methods, molecular dynamics, and reinforcement learning solutions for flow navigation and control. His work spans from atomistic simulation and continuum modeling to integrating machine learning—recently focusing on RL for prediction and navigation in turbulent flows at MaLGa. An experienced educator and co-supervisor, he enjoys translating complex theory into teachable practice and software, and he seeks projects with significant fieldwork and real-world interaction. Outside the lab he is a passionate musician and long-distance cyclist, traits that reflect his creativity and resilience in tackling open-ended research problems.
9 years of coding experience
3 years of employment as a software developer
Master of Science (MSc), Computational Science, ENS: 18.3/20 ; Sapienza: 110/110 cum laude; Vrije Universiteit: 8.8/10, Master of Science (MSc), Computational Science, ENS: 18.3/20 ; Sapienza: 110/110 cum laude; Vrije Universiteit: 8.8/10 at Ecole normale supérieure de LyonDoctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Université de LyonHigh School Diploma, classe sperimentazione PNI (Piano Nazionale Informatica), 100/100, High School Diploma, classe sperimentazione PNI (Piano Nazionale Informatica), 100/100 at Liceo Scientifico MorgagniBachelor's degree, Physics, 110/110, Bachelor's degree, Physics, 110/110 at Sapienza Università di Roma
French, English, Italian, Spanish
Github Skills (14)
xyz10
converting10
binding9
ieee9
pdb-files9
robot8
pdb7
robotics7
python6
database6
surface2
radius1
robotframework1
probe1
Programming languages (3)
Github contributions (5)
lucagl/MOAD_ligandFinder
Mar 2021 - Jul 2022
A script able to extract ligands from pdb structure(s) and remove them from the original structure. The ligands are identified according to the *valid* ligands found in the binding MOAD database. The ligand can be extracted as a pdb or as a xyz (coordinate) file. Other options such as converting the queried pdb to pqr are available .
Contributions:2 releases, 55 commits, 36 pushes in 1 year 4 months
pythonligandsxyzpdb-filespdb
concept-lab/shrec22_proteinLigandBenchmark
May 2022 - Jul 2022
Contributions:17 commits, 11 pushes, 1 branch in 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.