I’m a rising junior at The Johns Hopkins University and am looking forward to joining the DSSG program this summer! At JHU, I’m studying Computer Science and Applied Mathematics & Statistics, with interests in Big Data, Machine Learning, and Applied Statistics. I am a Systems Administrator at JHU’s Institute for Data Intensive Engineering & Science (IDIES) and an active member of Baltimore’s Entrepreneurship and Innovation scene. Having taken a combination of quantitative and policy-based courses, I am excited to apply my skills to ethically solving social problems with stakeholders in Seattle.
Engaging with community leaders in Baltimore and participating in people-focused hackathons have inspired my interests in quantitative work that can positively impact communities. At MedHacks (a medical hackathon), my team developed an interactive graphical model that maps Baltimore’s low-income residents’ accessibility to federally qualified health clinics. From large publicly-available datasets, I wrote Python scripts to isolate latitude and longitude points and population sizes within a partitioned grid. Then, the mean public transit-time was calculated using a Google API, and all this was presented as an interactive heat-map integrated through a back-end web development using Flask. At IDIES, I am currently analyzing temperature data from the last five years to find patterns and eventually develop a spatial PCA for the high computing data center. I process the data, which is sampled every few seconds and added to a SQL database, to make it more useful and run queries to gain insights from statistical patterns. This summer, I hope to contribute to data-intensive projects that will have a positive and measurable impact in Seattle.
In my free time you can find me taking photos, exploring the city, or going on a hike. I enjoy tasty food and good coffee and listening to music.