Dr. Pedro Albuquerque holds a bachelor’s degree in Statistics (2006), a master’s degree in Statistics (2008), a Ph.D. in Financial Econometrics with a thematic focus on Economics and Quantitative Methods, a postdoctoral degree in Financial Econometrics (2014), and a postdoctoral degree in Bayesian Modeling and Machine Learning Algorithms and Theory (2017). With more than 1,000 citations at Google Scholar, Pedro Albuquerque has multiple teaching roles in Computer Science, Economics, Business, and Mathematics. Nowadays, Pedro Albuquerque is an adjunct professor at Bellevue College, teaching and researching applied statistical and mathematical methods and models for Data Science at the CS and MATH departments. His professional experience includes more than 15 years in Data Science and teaching, with applied and theoretical knowledge in Probability and Statistics, emphasizing Sampling, Causal Inference, Spatial Statistics, Econometrics, and Machine Learning.
