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portfolio

publications

Inferring biophysical models of evolution from genome-wide patterns of codon usage

Published in bioRxiv, 2019

The unexpected enrichment in the usage of certain synonymous codons is known as the codon usage bias. In this paper, we examine the relative importance of various elements of the translation process, including wobble pairing, which may contribute to the choice of synonymous codon in the context of a mutation-selection population genetics model. Show more

talks

Principle Causes of Codon Bias: Gene Evolution Modeled as a First Passage Process

Published:

This was a presentation given to the current Ph.D and Masters students at Rutgers University as part of a series of talks titled SSPAR (Student Seminars in Physics and Astronomy at Rutgers.) The presentation covered the early stages of a biophysical / population genetics model designed for the careful investigation of the codon usage bias. Show more

Fundamentals of Codon Bias

Published:

This poster presentation covered a biophysical / population genetics model designed for the careful investigation of the codon usage bias. Show more

Bayesian Inference of Global Statistics on Complex Networks using Random Walks

Published:

Complex networks can be found throughout the physical sciences. This poster covers a new formalism for acquiring the global properties of complex networks via random walk sampling. This methodology only requires a very small portion of the full network to be sampled, and is general to all weighted, undirected networks. More detail and application of this topic can be found here. Show more

Fundamental Sources of Codon Bias

Published:

This presentation covered a biophysical / population genetics model designed for the careful investigation of the codon usage bias. The model presented incorporates modern theories on the origins of the codon bias in a bare-minimum-for-accurate-prediction approach which develops a heirarchy of model complexities until the bias is captured. A poster on the same topic can be found here Show more

Diffusion on Complex Networks and what it can tell us about Epidemiology and Wikipedia

Published:

This was a presentation given to the current Ph.D and Masters students at Rutgers University as part of a series of talks titled SSPAR (Student Seminars in Physics and Astronomy at Rutgers.) What can be determined about a complex landscape or network by moving through it in the most unintelligent way? This talk covered an answer to this question by presenting a formalism which combines Bayes’ theorem with random walk theory with applications given in the worlds of computer science and epidemiology. Show more

teaching

Teaching experience at Rutgers University

Undergraduate recitations and lab sections, Rutgers University, Department of Physics & Astronomy, 2013

During my time at Rutgers University, I have been teaching both recitation and lab sections for the Spring, Summer and Fall sessions for all but two semesters of my graduate career. Show more