zacherymorris2021/bii-nssac-internship

Internship with Biocomplexity Institute and Initiative, NSSAC Division. Worked on various tasks: researched HPC performance of various algorithms/implementations in simulations, scaled contact networks, created data visualizations of influenza and humidity.

BII-NSSAC-Internship

• Internship with Biocomplexity Institute and Initiative, NSSAC Division.

Overview

• One of 15 interns at the Computing for Global Challenges internship program through UVA's Biocomplexity Institute and Initiative's Network Systems Science and Advanced Computing (NSSAC) division.

Tasks

1.) Investigated and explored different ideas on speeding up computations in EpiFast and other infectious disease simulation models.

2.) Wrote programs to scale a given social contact network in C++ (see v1 here, v2 here, and v3 here)

3.) Extracted data of a specified climatic variable for US locations while aggregating it to specified spatial/temporal resolution using Python and Pandas library (see here)

4.) Ran statistical analysis (and created visualizations) on CDC state level influenza data and weather data using Pandas and Matplotlib libraries (see here)

5.) Used Rivanna, a high-performance computing system est. by UVA, to run these programs and obtain workable data.

6.) Wrote project overview paper (see here), designed project poster (see here), and presented research to the division.

Note

• I had to upload my old files from the company's repo.