I’m a statistician developing efficient optimal experiment design tools that work for survey sampling, A/B testing, and other data collection challenges. My work blends new frameworks in information theory with applied modeling to quantify uncertainty and make adaptive experiment design practical.
Typical collaborations include:
Similarity-sensitive entropy (preprint arriving on arXiv soon). More papers and notes will land here as they are posted.
Email: joe@josephsmiller.com