Marcelo V.
Brazil
UTC-03:00 (America/Recife)
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).