I'm a data scientist. I hold a masters degree from the Barcelona School of Economics in Data Science Methodology, and a bachelors in Physics from Reed College.
inContext is a novel AI dictionary that creates unique, context-informed definitions specifically tailored to the user's language level. It works as a browser extension that serves definitions quickly and with minimal hassle. inContext is capable of handling all kinds of words that regular dictionaries aren't able to. Definitions can also be saved and exported to Anki.
Scraped all articles published on Towards Data Science and applied LDA to explore the most common article topics. Then, we explored how these topics evolved over time.
In collaboration with the World Bank, we trained a neural network on IRI data and millions of satellite images in order to understand quality of rural roads.
In Kotomi Li's 彼岸花が咲く島, the author weaves language and East Asian history in such a way that makes it really hard to translate. I explain why.
A project where we try to deconstruct how VAEs work and then play around with the KL divergence.
We summarize how the YOLO algorithm works and train one to detect chess pieces in real time.
My undergrad thesis was on a hyrodynamic system that acts a lot like a quantum system.
I spent a summer working on research funded by a NASA grant. We eventually published the results!
Here are some that I've taken.