I am a “data storyteller” and full stack developer.
I work collaboratively to synthesize data, history, social science research, & human stories to elucidate complex issues.
Through creating interactive graphics, I hope to empower people with information to engage with society’s most pressing problems, from educational inequity to mental health.
Check out my work below!
As a founding member of the newspaper's data vis team, I helped lead an investigative article into Stanford's sexual assault judicial process.
We interviewed and gathered info from local law enforcement, university administrators, and students. As we worked, I iteratively prototyped numerous visualizations: from guided walk-throughs to timelines to flow-charts, using keynote, excel, and code.
Ultimately, I built the final D3 visualizations and diagrams for the forthcoming article. Click to see some of the those those visualizations. .
The field of Positive Psychology has produced astounding insights into mental health, wellness, and happiness, but its diverse methods and focuses make it difficult to understand holistically.
I worked with mental health professionals, researchers, and educators to create a tool which allows practitioners to understand the growth and connection between the 19 most influential researchers in Positive Psychology.
I used web-scraping, SemanticScholar's API, and D3 to create this early prototype. I'm currently collaborating with psychologists at Dartmouth to expand the tool to millions of scientific papers using neo4j.
Click to see the in-progress prototype.
What tools and production insights might small, ethically-minded businesses need to expand their reach?
As a core engineer at a small startup, I built and iterated on web and mobile platforms for exactly these sorts of businesses, coding heavily in SQL, Django, React, and React-Native.
I got to conduct interviews, build APIs from scratch, and analyze messy data -- whatever it took to bring features from idea to deployment on factory floors.
After conducting social-network analysis research at Stanford, I was curious: How can we better understand and communicate change in dynamic networks?
For example, how might a person's social network change over time? Or, how do new academic fields emerge?
Somewhat surprisingly, coding this in the industry-standard D3.js is really challenging, requiring hundreds of lines of code.
I addressed this by creating a D3 module which abstracts away the complex code, allowing you to visualize dynamic networks with a single line of code.