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Brookhaven National Lab
Data Scientist
June 19, 2026 – Present
neuralike
April 18, 2022 – October 15, 2024
Deep learning and genetic algorithms to speed-up Bayesian inference.
View ProjectMACS_2021_ML_basics_neural_networks
June 10, 2021 – July 5, 2021
Mini-course about artificial neural networks as part of the lecture Machine Learning Basics in the IV Mexican School of AstroCosmostatistics (MACS).
View Projectnnogada
April 9, 2021 – April 25, 2025
Neural Networks Optimized by Genetic Algorithms for Data Analysis
View ProjectCosmologia_observacional
February 15, 2018 – January 9, 2019
La Cosmologia y estadistica se conocen
View ProjectSimpleMC
April 26, 2016 – August 28, 2025
Updated version of a simple MCMC code for cosmological parameter estimation where only expansion history matters.
View ProjectEarly_DE
October 18, 2015 – April 14, 2016
Files used to incorporate Early Dark Energy into the cosmological equations
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on academic and research-oriented cosmology and astrophysics. While this demonstrates deep technical expertise in a specific domain, it suggests a potential need to adapt to broader industry applications and collaborative environments typical of a general Data Scientist role. The projects are all personal, which limits insight into team collaboration or diverse project types.
Soft Skills & Operational Fit
The provided data is insufficient to assess soft skills or operational fit. The candidate's projects demonstrate initiative and a focus on complex problem-solving, which are positive indicators.