Dr. Palacios seek to provide statistically rigorous answers to concrete, data driven questions in evolutionary genetics and public health . My research involves probabilistic modeling of evolutionary forces and the development of computationally tractable methods that are applicable to big data problems. Past and current research relies heavily on the theory of stochastic processes, Bayesian nonparametrics and recent developments in machine learning and statistical theory for big data.
Honors & Awards
Frederick E. Terman Fellow 2017, Stanford University (2017-2019)
Alfred P. Sloan Research Fellowship 2018, Sloan Foundation (2018-2020)
Ph.D, University of Washington, Statistics (2013)