• Dealt with large structured and unstructured datasets (FORTRAN, Python, NumPy, Pandas) to clean it and extract relevant information. • Statistic analysis, focused on the estimation of density probabilities and it regression analysis (Lineal, Gaussian, Lorentz) to estimate parameters from raw and unstructured data (Python, SciPy, Statsmodel, GNUPlot, Veusz) as well as survival analysis to estimate diffusion constants at molecular level. • Time-series analysis as well as its convolution to a frequency domain to construct a Wigner phase space for further analysis (Python, SciPy, Statsmodel, GNUPlot, Veusz). • Data visualization (Python, Matplotlib, Seaborn, GNUPlot, Veusz): Heavy production of different types of graphs (scatter/curve, contour plot, surface, 3D surfaces) to have a deep understanding of the physical phenomena as well as short movies to explain complex analysis to a more general public. • Designed through numerical models the basis of the new artificial photosynthesis devices. • Used to write periodic reports for grant lender and peer review scientific journal papers. • Worked on a multidisciplinary/multicultural environment.

• Taught variety of undergraduate courses of Physics (Mechanics, Electromagnetism).• Designed a wide range of physics experiments and the statistical analysis involved. • Taught statistics and how to report experimental results combined with Python and R for a practical approach (data and error handling, regression analysis).

• Carried out numerical simulation using Non-Adiabatic molecular dynamics to understand the energy relaxation on a new materials (FORTRAN and Python)• Designed mathematical and statistical algorithms for analyzing large amount of structured and unstructured data to get meaningful physics understanding (FORTRAN, Python and R).• Performed regression analysis (Lineal, Gaussian, Lorentz) for the computed absorption/emission spectra, to fit experimental results and error estimation.• Applied survival analysis to identify the relaxation path over several electronic states

Supervised students while conducting research:• Taught variety of undergraduate courses including Linear Algebra, Differential Equations, Quantum Mechanics, Physics and Numerical simulation.• Using FORTRAN, modeled photo-dissociation dynamics on isolated molecules.• Supervised two diploma dissertations.

Funded doctoral position with the Eiffel scholarship program of excellence• Member of a multi-national team with researchers from Europe, USA and Mexico tasked to understand clathrates bonded with halogens.• Designed mathematical and statistical algorithms for analyzing large amount of structured and unstructured data to get meaningful physics inside• Implement optimized numerical methods to solve the time-dependent Schrödinger equation to compute the Absorption/emission and Raman spectrum using High-Performance Computer capabilities.• Performed regression analysis to have meaningful results to compare with experimental results.• Designed interpolation/extrapolation to energy on regions where the information was missing.

Supervised students while conducting research:• Simulated neutron transport using Monte Carlos (MCNP-4C) and deterministic methods to optimize an experimental set-up to perform Neutron Activation Analysis• Using FORTRAN and R, modeled photo-dissociation dynamics on isolated molecules.• Taught variety of undergraduate courses including Linear Algebra, Differential Equations, Quantum Mechanics, Physics and Numerical simulation.• Supervised one diploma dissertation.