𦬠Studying CS at University of Colorado Boulder
π Building super-secret new stuff (stick around)
π§ Using computing for good with Blueprint Boulder
π» Skyrocketing my playlist count
I'm here to educate the curious inside of me, and use that education to make the world a better place.
A rising technologist with conviction and rigor, from creative approaches in intelligent systems to accessible human-computer interaction.
With equity at the heart of scientific, social, and educational advancement, using technology to address the world's most pressing social and technological issues.
Foundationally, neural networks are not fully understood in many ways. The attempt to progress their comprehension opens the door to a rich ecosystem of modifying, reframing, and reconsidering the models according to our interests that has resulted in the dramatic and sudden diversity in neural learning models today. One assumption that has overwhelmingly remained true over their rapid growth, however, is use of the dot product to apply weights to a neuronβs input. We incise on the question: why the dot product? By framing inner products as measures of information explanation and correspondence, we can identify the neural network model as a non-linearized, repeated measure of explanation over the output of one layer and the weights of the next. We find that this complex transformation alters the spatial behaviors over models trained under otherwise identical conditions. This confirmation induces further exploration over how to engineer these spaces to specify that transformation, as well as, how to mitigate or harness asymptotic behavior.
A sentiment-aware micro-journaling app unique in its two-dimensional sentiment analysis system capable of expressing emotion far beyond the capabilities of classifiers. Created in association with Computing for Good @ Colorado School of Mines.
End some emissions, crush that cash, and meet your mates! Uber meets Strava in this social-media-slash-trip-planner lifestyler! Whether it's that epic roadtrip or a dawn-breaking carpool, TurboTransit finds a local trip to your destination, then helps you screen your tripmates in mere minutes, so you can sail away easier than ever. Created in association with University of Colorado Boulder.
We demonstrate the nearest centroid classification via implementations in 1) a fully classical model and 2) a model taking advantage of quantum distance estimation. Nearest centroid clustering was used to identify game state advantage in generated game boards, with comparable applications beyond the given application, from rapid medical classification to sentiment analysis. The quantum model is compared with the classical model to evaluate the efficacy of the quantum model in comparison to that of the classical model. Additionally, this comparison is gameified, pitting human, classical, and quantum classifications against each other in an interactive game.
βοΈ Quantum
π΅ Your favorite tea
π€ Computing for good
π£οΈ Computational linguistics
π Computer science education
π Tuesday night's Wikipedia rabbithole
π¬ Your research, projects, company, or opportunities (I'm looking!)
π‘ Or whatever else you're working on