Causal inference is the study of finding cause-and-effect relationships through observational data. It’s currently one of my favorite topics, and I write about it to share my passion with others.
Fencers frequently switch clubs, either because their current club isn’t meeting their needs, or to train with certain fencers or coaches at another club. But does switching clubs actually lead to better competitive outcomes? To answer this, I analyzed data from over 600 fencers who switched clubs, using matrix completion—a… Read More »Joining a Top Club Won’t Necessarily Make You Better
Post-conference update: This poster won 2nd place! 🥈 This post is a continuation from my previous post Can Fencers Bounce Back From Being Cut After Pools?. As I prepared that work to be presented at the CMU Sports Analytics Conference and the Midwest Sports Analytics Meeting, I made some small… Read More »Can Fencers Bounce Back From Being Cut After Pools? (Pt. 2)
This research will be presented at the Carnegie Mellon Sports Analytics Conference and Midwest Sports Analytics Meeting. Getting cut after pools is probably one of the worst feelings at a national tournament. It hurts to travel hundreds of miles to an event and only get to fence a handful of… Read More »Can Fencers Bounce Back From Being Cut After Pools?
Many parents, fencers, and coaches have expressed frustration on social media that East Coast North American Cups (NACs) are problematic for West Coast fencers. Morning events on the East Coast translate to 5:00 AM on West Coast time, and fencers often have to wake up 1-2 hours earlier than their… Read More »Surprise! East Coast NACs Do Not Harm Performance
Have you ever wondered if a policy change actually has the intended effect? A few months ago, I stumbled upon a paper by Meehan & Stephenson (2024) that examined the effects of the name change of the Washington Bullets to the Wizards in 1997. At the time, there was prevalent… Read More »Synthetic Controls: A Powerful Way To Measure Policy Impact