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Nathan Raul Aviles

 

Graduate Student

Office/Lab: LSS 329

I am an accelerated master’s student in statistics and data science interested in the study of statistical properties as they relate to decision making, through the interplay of convexity, tail properties, and high dimensionality. During my time in Masel Lab, I have worked on problems related to the estimation of relative fitness under uncertainty, the evolution of traits in asexual populations, and risk assessments of SARS-CoV-2.

Publications:

Wilson A. M., Aviles N., Petrie J. I., Masel J., et al. (June 2021). "Quantifying SARS-CoV-2 infection risk within the Google/Apple exposure notification framework to inform quarantine recommendations" https://doi.org/10.1111/risa.13768

Kosinski L., Aviles N., Gomez K., Masel J. (2020). "More benign random peptides in E. coli are enriched for similar amino acids as young animal but not plant genes" (Under review; pre-print available BioRxiv) https://doi.org/10.1101/2020.04.28.066316

Teaching: N/A