= Aaditya Ramdas
{c}
<Aaditya Ramdas> develops <statistical inference> methods that remain valid when data are examined sequentially. His research also includes <multiple testing> and <machine learning>. A central practical question is how to report evidence while allowing data collection to continue or stop in response to the observations.https://web.stanford.edu/~aramdas/[Author research overview]{ref}
He coauthored distillation for the <conditional randomization test>, combining <conditional independence> testing with flexible test statistics and reduced computational cost. The calibration relies on the assumed feature <conditional distribution>.<Fast and Powerful Conditional Randomization Testing via Distillation by Molei Liu and others>[Abstract and original byline]{ref}
\Image[https://web.stanford.edu/~aramdas/ramdas-2023.jpg]
{title=Aaditya Ramdas}
{description=Portrait identified on Aaditya Ramdas’s official Stanford homepage.}
{source=https://web.stanford.edu/~aramdas/}
{width=220}
Back to article page
