Julia Palacios

Associate Professor of Statistics

Associate Professor of Biomedical Data Science

Associate Professor, by courtesy, of Biology

Joint Appointment or Affiliation:

Bio-X

Data Science

Institute of Computational and Mathematical Engineering

In her research, Professor Palacios seeks to provide statistically rigorous answers to concrete, data-driven questions in population genetics, epidemiology, and comparative genomics, often involving 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 and recent developments in machine learning and statistical theory for big data; future research plans are aimed at incorporating the effects of selection and population structure in Bayesian inference of evolutionary parameters such as effective population size and recombination rates, and development of more realistic and computationally efficient methods for phylodynamic methods of infectious diseases.

Julia Palacios awarded NSF CAREER funding

The Faculty Early Career Development (CAREER) Program offers the National Science Foundation's most prestigious awards in support of early-career faculty who have the potential to serve as academic role models in research and education and to advance the mission of their department or organization.