School of Humanities and Sciences
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Julia Palacios
Associate Professor of Statistics and of Biomedical Data Science
BioDr. 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.
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Michael Edward Palmer
Affiliate, Biology
Visiting Scholar, BiologyBioI'm visiting the Marc Feldman Lab while writing my book, "Clade Thinking: The Macroevolution of Recursive Clades and the Evolution of Evolvability". The motivating question of the book is, "Can macroevolution be reduced to merely the repeated iteration of microevolution?" (Answer: no, you would be missing a lot.)
I'm also doing some machine learning (ML) applied to genomics with the Fraser Lab, related to the evolution of cis-regulatory elements (CREs), which are involved in a lot of recent/rapid evolution in, say, mammals. We are doing what we call "in silico genome transplants": placing DNA variants from one species into the (ML-modeled) cellular environment of another species (or cell type, or individual with some pathology, etc.). We analyze changes in gene expression to detect various modes of selection on CREs.
I got my B.S. in Physics at Yale, and my Ph.D. in Computer Science at the California Institute of Technology. I've gone back and forth between academia (computational biology) and the tech industry in Silicon Valley.
