Stanford University
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Julia Palacios
Associate Professor of Statistics and of Biomedical Data Science
BioDr. Palacios’s research spans Bayesian nonparametrics, probabilistic AI, stochastic processes, and computational statistics. Her group develops stochastic models and efficient inference algorithms for understanding evolutionary dynamics in population genetics, infectious diseases and cancer.
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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.
