The meeting of chemical and computer science

With years of computer science, experience and a BS in chemistry bring unique interdisciplinary thinking to any project

Interdisciplinary thinking for an interconnected future

Interdisciplinary projects are the future. Through my training in chemistry and computer science, I am prepared to apply skills beyond just coding. These skills may be applying concepts from cheminformatics or organic chemistry. 

Much of my current work has drawn inspiration from things I thought were unrelated. For instance relating electron transfer pathways to graphs to linear algebra. Another example is using the graph Laplacian to determine if an molecular dynamics simulation was set up correctly.

Work and school experience

years of coding
+ 0
Credit Hours earned
+ 0
Citations
+ 0

Real experience and relevant knowledge

I have worked on a variety of different computer science projects (contact me for GitHub and links). additionally, I have been heavily involved in computer science since my Sophomore year of high school.  Then I moved into web development and mobile development. Around this time also got into machine learning which was the subject of my junior year science fair.  Since this, my projects have consistently grown more advanced.

Then I realized my coding skills could be applied to my passion for chemistry. In addition to my research in chemistry, I have thrived in my classes, maintaining a 3.99 undergraduate GPA. Beyond normal general education classes, I have taken difficult laboratory classes such as analytical chemistry lab, advanced inorganic lab, and advanced organic lab. These classes push students to be independent and develop good lab/research practices.

I recently finished a B.S. in chemistry at the University of Kentucky. Beyond the basic degree, I graduated with honors in chemistry for my involvement in undergraduate research. Also, I graduated with minors in computer science and math.

I am now a third year Phd student studying theoretical/computational biophysics at duke in Dr. David Beratan’s lab. I specialize in stochastic modeling for problems that are too large to study by traditional methods.

Some of my projects

A brief list of some of my current or favorite projects.

01

Current Chemistry Research

I am currently study electron transport on the micro-centimeter scale in cable bacteria and bacterial nanowires. My work focus on modeling using stochastic processes, molecular dynamics, and kinetic master equation models.

My primary focus is to answer the question: how does (if it does at all) electron transfer differ on the micro-centimeter scale differ from the typical nanometer scale.

02

Previous Research / Publications

I worked with the Risko group to develop experimentally data handling for the OCELOT project. I also developed programs to extract synthetic information from supporting information using natural language processing and machine reading. 

I also worked on testing CLIFF and AP-Net models using SAPT0 calculations with the Sherril Group at Georgia Tech.

03

Chrome Extensions / Side projects

I have developed EZ-ER proxy as chrome extension to allow easy automated access to scientific literature.

While not my most polished work the Tab Search-inator is a chrome extension that is highly functional. I use it every day and it is my favorite passion project.

I also run all technology for the non-profit orbital test prep.

Honors and Presentations

I refer to this section as “honors” in part because each of the below have been a great honor, privilege, enjoyment to be able to partake in.

Fellowships

Presentations

Contact Me

Contact me via this contact page.

Graduate Course Work

Statistical Mechanics
Fall 2022
Quantum Mechanics
Fall 2022
Modeling Soft matter
Spring 2023
Chem Informatics and AI
Fall 2022
Computational MatSci
Spring 2023

Chemistry Skills

(select undergraduate course work)
Physical Chemistry (A)
Spring 2021 100%
Analytical Chemistry(A)
Fall 2020 100%
Inorganic Chemistry (A)
Spring 2021 100%
General CHemistry
100%

Programming skills

ChatGPT apps/API
100%
Javascript
100%
Python
100%
Machine Learning
100%
Mobile app dev
100%
Unix Design Principles
100%
C++
100%
JAVA
100%
WebScrapping
100%
Natural Language Processing
100%
web dev and hosting
100%
High Through Put
100%

Skills and course work

My diverse past work experience is listed below. To the left is a list of specific skills and course work (course work for CS and Math available on request).

Scroll to Top