Daniel Wang

Nice to meet you! I’m Daniel, an undergrad at Yale. I build statistical models to understand complex systems.

I’m building Infodemica, a video generation tool for medical journals backed by Yale’s Tsai City Launch Pad Startup Accelerator and Sustainable Health Initiative. I’ve also worked @ DDHQ, @ Yale Institute of Network Sciences, @ Yale Youth Poll, and @ Cornerstone Research.

I have a soft spot for gaussian processes, and my creative inspirations include Marcel Proust and Clarice Lispector.

My side quests include finding the best London fog in the country, trying to survive a V1 rock climb, and learning how to draw.

I am also a pianist.

Projects

Alnilam — A research agent that gathers articles, journal papers, and social media posts, explains key insights, and synthesizes reading into a digital commonplace book.
Infodemica — A text-to-video web app that transforms medical research papers into two-minute, digestible videos for non-scientific audiences.
Dialect Classifier — An evaluation of fine-tuned language models for English dialect identification.
Proust NLP Project — A statistical and computational analysis of C. K. Scott Moncrieff’s translation of In Search of Lost Time.

View my work on GitHub →

Publications

A Decision-Analytic Markov Model Comparing Iron Deficiency Treatments — Cost-effectiveness of first-line IV vs. oral iron

… more coming soon