My name is Taehoon Song and I am a statistician and a privacy-advocate. I go by Tae (pronounced TAY). My preferred pronouns are he/him/his.
I obtained my Bachelor of Science in Business with a concentration in Accounting and Business Statistics from the Stern School of Business at New York University. I worked as a Data Analyst for 3 years after finishing my undergraduate studies. Afterwards, I earned a Master of Science degree in Statistics from the Volgenau School of Engineering at George Mason University. I currently work as a Statistician at Grant Thornton LLP.
My main interest is computational statistics, particularly algorithms used in Bayesian inference such as Markov chain Monte Carlo (MCMC) methods and Integrated Nested Laplace Approximation (INLA). I’m also fascinated by statistical learning algorithms and nonparametric statistics. Outside of statistics, I’m passionate about Free and Open Source Software (FOSS), Linux, and digital privacy.
All postings on this site are my own and do not reflect the views of any organization I am or was a part of or any of its clients, partners, principals, employees, or members.