<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Jiahui He | Liu Lab</title><link>https://liuq-lab.com/author/jiahui-he/</link><atom:link href="https://liuq-lab.com/author/jiahui-he/index.xml" rel="self" type="application/rss+xml"/><description>Jiahui He</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><image><url>https://liuq-lab.com/author/jiahui-he/avatar_hu23e80f452f744662c0cbe8fdd987a0b7_378362_270x270_fill_q75_lanczos_center.jpg</url><title>Jiahui He</title><link>https://liuq-lab.com/author/jiahui-he/</link></image><item><title>Jiahui He</title><link>https://liuq-lab.com/author/jiahui-he/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://liuq-lab.com/author/jiahui-he/</guid><description>&lt;p>I am pursuing an MS in Biostatistics at Yale. My research vision is at the AI-stats intersection: using statistics to make AI more explainable and robust, and AI to make statistical methods more scalable. This matters in biomedicine, where better methods can help us improve health and understand life a little better. I am very motivated to see where sparks of ideas — and a little randomness — can take us.&lt;/p></description></item></channel></rss>