Curriculum vitae

Philip J. Gerrish

Theoretical evolutionary genetics · probability theory · microbial evolution

Education

Training

Michigan State University
PhD, Zoology, 1998 · advisor: Richard Lenski
Michigan State University
MS, BioSystems Engineering, 1994
Hope College
BS, Physics; BA, Philosophy, 1988

Selected affiliations

Research appointments

Universidad Autónoma del Estado de Hidalgo

Mathematics · 2020–present

University of New Mexico

Biology · 2008–present

Los Alamos National Laboratory

Theoretical Division · 2006–2021

Georgia Institute of Technology

School of Biology · 2015–2019

Gulbenkian Institute & University of Lisbon

Biology & Mathematics · 2008–2011

Postdoctoral experience

Early research appointments

2006–07

Santa Fe Institute

Evolutionary theory

2000–03

Los Alamos National Laboratory

Evolutionary theory and influenza evolution

1998–00

Centers for Disease Control and Prevention

Evolutionary theory and HIV evolution

Selected publications

Recent and foundational work

2026

Forecasting Evolution: Mining for Predictability in the Unpredictable

P. J. Gerrish, R. Dominguez Aguilar & A. Colato. Springer.

publication
2025

Natural selection and the advantage of recombination

P. J. Gerrish et al. bioRxiv / manuscript.

preprint
2025

Natural selection promotes the evolution of recombination 1: between products of selection

P. J. Gerrish et al. bioRxiv / manuscript.

preprint
2025

Natural selection promotes the evolution of recombination 2: during the process of evolution

P. J. Gerrish et al. bioRxiv / manuscript.

preprint
2021

Why are viral genomes so fragile? The bottleneck hypothesis

N. S. C. Merleau et al. PLoS Computational Biology 17:e1009128.

publication
2017

Dynamics and fate of beneficial mutations under lineage contamination by linked deleterious mutations

S. Pénisson et al. Genetics 205:1305–1318.

2012

Real time forecasting of near-future evolution

P. J. Gerrish & P. D. Sniegowski. Journal of the Royal Society Interface.

2001

The rhythm of microbial adaptation

P. J. Gerrish. Nature 413:299–302.

1999

Clonal interference and the evolution of RNA viruses

R. Miralles, P. J. Gerrish, A. Moya & S. F. Elena. Science 285:1745–1747.

1999

Diminishing returns from mutation supply rate in asexual populations

J. A. G. M. de Visser et al. Science 283:404–407.

1998

The fate of competing beneficial mutations in an asexual population

P. J. Gerrish & R. E. Lenski. Genetica 102/103:127–144.

1997

Evolution of high mutation rates in experimental populations of Escherichia coli

P. D. Sniegowski, P. J. Gerrish & R. E. Lenski. Nature 387:703–705.

Selected support

Grants & awards

NIH R01, Principal Investigator — Mutation rate catastrophe: testing a novel theory for extinction of clonal organisms (2008–2012).

NIH ARRA, Principal Investigator — Tricking natural selection: the promise of recombination inhibitors as treatment for chronic viral infections (2010–2012).

NASA Astrobiology Institute, co-Principal Investigator — Reliving the Past: Experimental evolution of major transitions in the history of life (2014–2019).

Selected awards — DFG Fellowship (2019–2020); Fulbright International Fellowship (2018–2019); CNRS Visiting Scholar appointments (2015, 2018); LANL Director’s Fellowship (2000–2003).

Skills

Methods & languages

Statistics: probabilistic modeling, hypothesis testing, statistical inference; familiarity with stochastic calculus and analysis.

Programming: Julia and Wolfram scripts; familiarity with Python, R, C++, and AI interfaces.

Languages: English, Spanish, Portuguese, French.

Professional membership: Society for the Study of Evolution.

Web version based on short-form CV dated 24 July 2025; updated here to include the 2026 Springer chapter.