Versatile and proactive, with a background in developing, validating and deploying numerical, statistical, and data-driven solutions for data problems
- I developed a bayesian inference for cosmological model fitting. - I developed a machine learning Type Ia Supernovae classification engine. - I advised a project on data-driven Type Ia Supernovae redshift estimation. - I advised a project on cosmological model fitting with a Bayesian approach. - I taught Python classes for Physics graduate students. - I taught Bayesian statistics classes for Physics graduate students. - I taught Machine Learning classes for Physics graduate students. - I developed a Monte Carlo FRB simulation Python package for the BINGO telescope collaboration (bingotelescope.org).