2023 Reading List
Books I read in 2023
This past week I’ve got the chance to speak at Fermilab during the annual US LHC Users Association Meeting. This meeting is a fun opportunity to hear US contributions to all the LHC experiments.
In particular, there’s “lightning round” talks, in which graduate students give short, 8 minute talks over a topic, with 2 minutes afterwards for questions. I participated in this session, giving a talk titled “Why do we care about di-Higgs Production,” an attempt to explain the motivation behind the di-Higgs searches at ATLAS and highlighting some of the recent results, particularly the recent result combining the 𝛾𝛾bb, bbττ, and bbbb channels, setting the best ever limits on the Higgs self-coupling parameter.
My slide deck can be found here.
Books I read in 2023
Who will win this year’s cup?
Books I read in 2022
Just how lucky have the 18-3 Bruins gotten?
Interoperability is the name of the game
Books I read in 2021
I got a job!
Books I read in 2020
Revisiting some old work, and handling some heteroscadasticity
Using a Bayesian GLM in order to see if a lack of fans translates to a lack of home-field advantage
An analytical solution plus some plots in R (yes, you read that right, R)
okay… I made a small mistake
Creating a practical application for the hit classifier (along with some reflections on the model development)
Diving into resampling to sort out a very imbalanced class problem
Or, ‘how I learned the word pneumonoultramicroscopicsilicovolcanoconiosis’
Amping up the hit outcome model with feature engineering and hyperparameter optimization
Can we classify the outcome of a baseball hit based on the hit kinematics?
Updates on my PhD dissertation progress and defense
My bread baking adventures and favorite recipes
A summary of my experience applying to work in MLB Front Offices over the 2019-2020 offseason
Books I read in 2019
Busting out the trusty random number generator
Perhaps we’re being a bit hyperbolic
Revisiting more fake-baseball for 538
A deep-dive into Lance Lynn’s recent dominance
Fresh-off-the-press Higgs results!
How do theoretical players stack up against Joe Dimaggio?
I went to Pittsburgh to talk Higgs
If baseball isn’t random enough, let’s make it into a dice game
Random one-off visualizations from 2019
Books I read in 2018
Or: how to summarize a PhD’s worth of work in 8 minutes
Double the Higgs, double the fun!
A data-driven summary of the 2018 Reddit /r/Baseball Trade Deadline Game
A 2017 player analysis of Tommy Pham