Computational Biology
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Computational biology: From forcefield development, quantum/classical molecular dynamics, molecular dynamics at the mesoscopic level, mesoscopic simulations, stochastic dynamics, membrane modeling. Code development, algorithm checking, pattern recognition strategies
ndustrial Experience
Several years working as an efficient consulting engineer.
Various startups, consulting engineering firms and medium size companies prior to, and after PhD studies.
– Fibers/composites/polymers engineering, Research advisor . Applied AI. Water filtration and materials recovery via combined electro-chemical and reverse osmosis
– Chemical reactor design and operation/Materials Laboratory. Cellulosic ethanol production
– Fibers/composites/polymers engineering.
– Evaluation and testing of materials to ASTM standards. Civil Engineering applications.
Molecular dynamics, Artificial Intelligence & Machine Learning applied to drug design and materials research.
Over 10 publications on International referred journals (Physical Reviews Letters, Biophysics, JACS).
– Carried out research on polymers grafted to surfaces. Complement of UNAM-IIMAS proyect
– Collaboration between MIREXUS technologies and CNABLAB on natural dendritic carbohydrate particles.
– Collaboration with experimental group. Institut National de la Recherche Scientifique (INSRS) on Protein functionalization with polymer additives
Languages: C/FORTRAN MPI, PYTHON (with AI and ML packages). Operative Sysems: Linux, Mac OsX, Windows, PBS scheduling, HPC computing setup. NUMERICAL SOFTWARE: R, Maple, Matlab. Finite element, molecular parametrization,
simulations, Molecular Docking software
Undergrad instructor Engineering and Sciences. Experience directing medium size groups in industrial settings | English and
Scientific computing, structural biology, programming fortran90/C-MPI, python, scripting.
