A hierarchical model for hockey scoring
Just how lucky have the 18-3 Bruins gotten?
US LHC Users Association 2018 - Why do we care about di-Higgs Production?
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.
2022
Accessing Public Baseball Data in Julia
Interoperability is the name of the game
2021
Tyler Burch, Baseball Analyst
I got a job!
2020
Box Score Thoughts: Tempering Run Expectations from Hits
Revisiting some old work, and handling some heteroscadasticity
Gauging Home-field Advantage in 2020
Using a Bayesian GLM in order to see if a lack of fans translates to a lack of home-field advantage
Fivethirtyeight Riddler: Golf Percentages
An analytical solution plus some plots in R (yes, you read that right, R)
Fivethirtyeight Riddler: Astrophysical Signals
okay… I made a small mistake
Classifying MLB Hit Outcomes - Part 4: Application and Reflection
Creating a practical application for the hit classifier (along with some reflections on the model development)
Classifying MLB Hit Outcomes - Part 3: Studying Re-sampling Methods
Diving into resampling to sort out a very imbalanced class problem
Fivethirtyeight Riddler: Can You Find The Fish In State Names?
Or, ‘how I learned the word pneumonoultramicroscopicsilicovolcanoconiosis’
Classifying MLB Hit Outcomes - Part 2: Optimization
Amping up the hit outcome model with feature engineering and hyperparameter optimization
Classifying MLB Hit Outcomes - Part 1: Model Selection
Can we classify the outcome of a baseball hit based on the hit kinematics?
Applying to Work in MLB Front Offices - My Experience
A summary of my experience applying to work in MLB Front Offices over the 2019-2020 offseason
2019
Fivethirtyeight Riddler: How Low Can You Roll?
Busting out the trusty random number generator
Astros 2017 K% Change
Perhaps we’re being a bit hyperbolic
Fivethirtyeight Riddler: Which Baseball Team Will Win The Riddler Fall Classic?
Revisiting more fake-baseball for 538
Evaluating Lance Lynn’s Unexpected 2019
A deep-dive into Lance Lynn’s recent dominance
2015-2016 Di-Higgs Combination
Fresh-off-the-press Higgs results!
Fivethirtyeight Riddler: Can The Riddler Bros. Beat Joe DiMaggio’s Hitting Streak?
How do theoretical players stack up against Joe Dimaggio?
Pheno2019 - ATLAS Searches for VH/HH Resonances
I went to Pittsburgh to talk Higgs
Fivethirtyeight Riddler: Can You Turn America’s Pastime Into A Game Of Yahtzee?
If baseball isn’t random enough, let’s make it into a dice game
2018
US LHC Users Association 2018 - Why do we care about di-Higgs Production?
Or: how to summarize a PhD’s worth of work in 8 minutes
Double Higgs Production at Colliders Workshop - VBF HH Generation and Benchmarks
Double the Higgs, double the fun!
2018 Reddit /r/Baseball Trade Deadline Game Statistics
A data-driven summary of the 2018 Reddit /r/Baseball Trade Deadline Game
2017
Is Tommy Pham Fixed?
A 2017 player analysis of Tommy Pham