Provides a basic hands-on introduction to the practice and theory of scientific computing
with applications in astronomy and astrophysics. Includes an introduction
to programming, as well as a sampling of methods and tools from the field of
scientific computing. Includes a hands-on project in which students use numerical methods
to solve a research problem.
Radiative Processes
3 credits | Fall 2023
Radiation mechanisms and interaction of radiation with matter. Applications of
classical and semiclassical radiation theory and atomic physics to astrophysical settings.
Radiative transfer, polarization, scattering, line radiation, special relativity, bremsstrahlung,
synchrotron radiation, inverse compton scattering, ionization losses, shocks and particle acceleration,
plasma processes, atomic structure and spectroscopic terms, radiative transitions and oscillator strengths,
curve of growth, molecular spectra.
Undegraduate: University of Louisville/Morehead State University
3 credits | Spring 2019 | Morehead State University
Writing-intensive course that focused on the development of writing
for professional purposes, including CVs, grants, proposals, cover letters,
and similar documents.
Calculus 1-3
4 credits each| Fall 2019-Fall 2020 | University of Louisville
3 credits | Spring 2021 | University of Louisville
intermediate level applied statistics course covering key aspects of data exploration,
visualization, and traditional topics in statistical inference, including
how to use and interpret software.
Covers normal distribution, t-distribution, hypothesis testing,
inference for two or more population means, one-way and two-way analysis of variance
(ANOVA), linear regression with one or more independent variables, inferential and diagnostic
methods in regression and correlation, multiple regression analysis, model building in regression;
factorial experiments, and design of experiments. Utilizes R code.
A calculus-based introduction to the physics of the solar system, and stars,
covering celestial mechanics, tides, the nature of light, star and
planet formation and evolution.
Optical astronomy including observing at Moore Observatory, solar observing,
instrumentation control with computers, and astronomical data acquisition and interpretation.
3 credits | Spring 2022 | University of Louisville
Introduces the fundamentals of data management and analysis using SAS. Covers elementary statistical analyses
such as measures of location and spread, correlation, detection of outliers, graphical displays, comparison of groups, as well as additional
specialized studies.
3 credits | Spring 2022 | University of Louisville
Physics applied to the interstellar medium; the atmospheres, structure, and evolution of stars; galaxies.
Undergraduate Research
3 credits | Spring 2022 | University of Louisville
Individualized research under a faculty member. Investigating the morphology of void galaxies
using the Galaxy and Mass Assembly (GAMA) data and Galaxy Zoo under Dr. Benne Holwerda.
Introduction to wave theory of light and relation between light waves and rays; theory of thick lenses and lens aberrations;
interference and diffraction of coherent light.
Electrostatic and magnetostatic fields in free space and in material media, solutions of Poisson's equation,
time dependent fields, Maxwell's equations.
General concepts of quantum mechanics. Schrodinger equation and solutions in one, two and three-dimensions,
hydrogen atom, and orbital angular momentum.
3 credits | Spring 2023 | University of Louisville
The course is first in a two semester sequence graduate level introduction to data mining/big data analytics.
It focuses on practical implementation and interpretation of the most commonly used techniques in analysis of very large datasets.
Uses SPSS software.
3 credits | Spring 2023 | University of Louisville
This course introduces students to the software R for statistical analysis. The R language provides a rich environment for
statistical modeling and computing. The course emphasis is on practical issues in statistical computing which includes
the basic syntax of R, programming in R, inputting and outputting (I/O) data in R, writing R functions, debugging,
profiling R code, generating R packages, and running basic statistical analysis with R.
Programming Languages & Softwares
Python | Intermediate | self-taught
4 years of experience in Matplotlib, Pandas, and Seaborn packages. I have used both Jupyter Notebooks
and traditional Python scripts via the Terminal to perform astronomical data analysis using both
observational and simulation data.
HTML/CSS | Beginner | self-taught
Limited experience in using HTML and CSS for website design, evident in this very website. I utilized
Bootstrap to create a basic website design, using CSS for style elements and HTML for structure.
SPSS | Beginner | Courses: PHST-302 and PHST-310
Two years using SPSS to perform statistical analyses as taught in courses for
my Applied Statistics/Data Science minor. See above for course information and descriptions.
R | Beginner | Courses: PHST-310 and PHST-421
One year of experience using R to perform statistical analyses as taught in courses for
my Applied Statistics/Data Science minor. See above for course information and descriptions.
MATLAB | Beginner | Course: PHYS-350
One semester of experience using MATLAB to solve differential equations as taught in a course for
my physics major. See above for course information and descriptions.
SAS | Beginner | Course: PHST-520
One semester of experience using SAS to perform data analysis. See above for course information and
descriptions.
Other Skills
Outreach
Event-planning
LaTeX
Leadership
Public Speaking
Soldering
Wood-working
Microsoft Office Certified (Word, PowerPoint, Excel, and Access)