University of Cambridge, under the supervision of Daan Frenkel
Investigated diffusiophoretic (osmotic) transport using Monte Carlo (MC) and Molecular Dynamics (MD),
together with High Performance Computing (HPC) [Check the video
to learn more]
Developed algorithms to automatise/analyse MC/MD simulations
Used non-equilibrium thermodynamics and statistical mechanics to create a theoretical framework in phoretic transport
4 peer-reviewed publications, 2 more in preparation
Presented my research in 4 international conferences/workshops
Developed an interatomic potential
for the Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) Package
La Sapienza Roma, UvA (Amsterdam), VU Amsterdam, ENS Lyon.
2012
BSc in Physics
Universidad de Antioquia
2011
BSc in Aeronautical Engineering
Universidad Pontificia Bolivariana
PROFESSIONAL EXPERIENCE
Bearing.ai
May 2021-Present
Machine Learning Engineer
Spacept - Automatic AI infrastructure inspection
Feb 2021 - Apr 2021
Intern
My main tasks involve: processing and analysing satellite images; using deep learning for object detection and building Docker containers to deploy applications on UP42.
Indaer
Dec 2010 - May 2013
Engineer/Consultant
Open source contributions
Github
2015-2017
LAMMPS
Additional functionalities to the Large-scale Atomic/Molecular Massively Parallel Simulator
for my PhD research (C++).
Publications
2020
Using Molecular Simulation to Compute Transport Coefficients of Molecular Gases