STEP Intern at Google

Computer Science Student at Rice University

San Jose, CA

Proficient in Python, Java, Git

Familiar with HTML, CSS, Javascript, C++, LaTeX, YAML, pandas, scikit-learn

I'm a sophomore at Rice University majoring in Computer Science and currently interning at Google as a part of their STEP program. From a young age I had a huge interest in consumer tech products (shoutout to Marques Brownlee!). This interest has since grown into a full-fledged dedication to technology and my goal to help create software solutions to tomorrow's problems. In my free time, I love listening to music, chilling with friends, and cooking breakfast food.

Disease Transmission Mapping (Python)

March 2020

• Implemented functions to read in disease transmission data and build a graph where nodes represent hospital patients and edges represent the likelihood of connectedness in transmission based on time difference between hospital visits and gene similarity
• Computed the rooted directed minimum spanning tree (RDMST) of the graph to determine the most likely transmission map, which involves functions such as computing cycles in the graph, contracting cycles into single nodes, and expanding the contracted cycles

Houston Crime Prediction (Python, pandas, scikit-learn)

December 2019

• Developed linear models to predict crime rates by zip code in the Houston area for the year 2020 and beyond

See more projects on my GitHub page.