CV

Education

• Ph.D in Physics & Astronomy, Rutgers University, 2019 (expected)
  Dissertation advisor: Prof. Alexandre V. Morozov

• B.S. in Physics & Astronomy, University of Delaware, 2013

Publications

Dual RNA-seq provides insight into the biology of the neglected intracellular human pathogen Orientia tsutsugamushi

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

Rapid Bayesian Inference of Global Network Statistics Using Random Walks

Path statistics, memory, and coarse-graining of continuous-time random walks on networks

Electron Shell Ionization of Atoms with Classical, Relativistic Scattering

Research Experience

Theoretical and Computational Biological Physics, 2013-2019
Rutgers University, Piscataway, NJ
Advisor: Prof. Alexandre V. Morozov
Topics include biophysics of complex networks, first-passage process theory, objective function optimization, and the codon usage bias.

Computational Astronomy, 2013
University of Delaware, Newark, DE
Advisor: Prof. John Gizis
An examination of statistical signatures of magnitudes of brown dwarfs in data collected by the Wide-field Infrared Survey Explorer.

Experimental Condensed Matter Physics, 2012
University of Delaware, Newark, DE
Advisor: Prof. Norbert Mulders
The construction of an automated oven system for the production of aerogels.

Atomic and Molecular Optical Physics, 2010-2012
University of Delaware, Newark, DE
Advisor: Prof. Barry Walker
This research consisted of the operation and maintenance of a high-intensity laser system used to examine the scattering behavior of high-speed electrons in the presence of an external magnetic field.

Conferences & Presentations

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

Fundamental Sources of Codon Bias

Bayesian Inference of Global Statistics on Complex Networks using Random Walks

Fundamentals of Codon Bias

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

Awards & Fellowships

• Rutgers Excellence Fellowship, Rutgers University, 2017-2018
• TA-GA Professional Development Fund, Rutgers University, 2017
• Richard J. Plano Outstanding Teaching Assistant, Rutgers University, 2016
• Undergraduate Summer Scholars Research Experience, University of Delaware, 2011

Teaching Experience

Teaching experience at Rutgers University

Service & Leadership

• Vice President of the Rutgers Physics Graduate Student Organization (GSO), 2018 - 2019
• Organizer of the Student Seminars in Physics and Astronomy at Rutgers, 2018 - 2019
• Mentor to an undergraduate physics student completing a Rutgers Senior Honors Thesis, 2017 - 2018
• Mentor to a high school student conducting research for the Siemens Competition, 2016

Professional Training

• Machine Learning by Stanford University on Coursera. Certificate earned, 2018

Skills

• Programming languages
  • Python (experienced using many modules including $\texttt{numpy}$, $\texttt{pandas}$, $\texttt{Biopython}$, $\texttt{Matplotlib}$, and $\texttt{scikit-learn}$.)
  • MATLAB
  • G (LabVIEW)
  • Java (experienced with Android application development.)
  • C++
  • MIPS (only in the context of QtSpim)
  • ActionScript (examples can be found here)
  • $\LaTeX$
  • Markdown
• Microcontroller Experience
  • Raspberry Pi
  • Arduino
• Experienced in HPC systems with Slurm Workload Managers