My name is Jung Yoon and I’m an applied mathematician. I’m learning statistics and optimization as much as possible by taking and auditing courses at UC Berkeley and Stanford University. In contrast to what many believe, many concepts in machine learning came from statistics. Mastering statistics is critical because most papers published in machine learning do not talk about uncertainty, a central theme in statistics. Statistics is concerned with uncertainty, while computer science is concerned with runtime. Hence, having thorough understanding in both fields (and optimization) is essential to become a capable researcher.
I’m currently doing research with Doctor John Wu at Lawrence Berkeley National Lab and did Prof. Miguel Alonso at Columbia University. This personal webpage has lecture notes and commentaries from the courses I’ve taken over the last year, research papers and projects.
Master in Financial Engineering - voluntarily dropped out in September 2017, 2017
B.S in Mathematics, 2012
University of California, Irvine
The following are notes and expository materials for various courses and topics I’ve taken at Berkeley and Stanford.