Kurt Tadayuki Miller

Current employment

I am a quantitative researcher at PDT Partners, one of the top quantitative finance firms. If you are interested in pursuing a career in quantitative finance or have any questions about it, feel free to get in touch with me at [my_middle_name]@cs.stanford.edu.

Every spring semester since 2014, I have also been an adjunct faculty member at NYU helping out with the Machine Learning and Computational Statistics class in the Center for Data Science.

Education

Research

Teaching

  • NYU DS-GA-1003, Machine Learning and Computational Statistics, Adjunct, Spring 2017
  • NYU DS-GA-1003, Machine Learning and Computational Statistics, Adjunct, Spring 2016
  • NYU DS-GA-1003, Machine Learning and Computational Statistics, Adjunct, Spring 2015
  • NYU DS-GA-1003/CSCI-GA.2567, Machine Learning and Computational Statistics, Adjunct, Spring 2014
  • UC Berkeley CS 170, Efficient Algorithms and Intractable Problems, Graduate student instructor, Fall 2010
  • UC Berkeley Stat 260-01/CS 294-38, Bayesian Modeling and Inference, Graduate student instructor, Spring 2010
  • UC Berkeley CS 294-34, Practical Machine Learning, Guest lecturer, Fall 2009
  • UC Berkeley CS 294-34, Practical Machine Learning, Guest lecturer, Spring 2008
  • UC Berkeley Machine Learning Workhop, Guest lecturer, Fall 2007
  • Stanford University CS 221, Artificial Intelligence: Principles and Techniques, Teaching assistant, Fall 2004

Miscellaneous

  • I have tutored high school students from Breakthrough New York (BTNY) since 2011 and co-coordinated my work's tutoring program of about a dozen tutors for BTNY students from 2012-2017.
  • LaTeX poster template. This template makes posters that look like this. Here is what it looks like when used in a real conference poster. Feel free to use and distribute this template. Contact me (e-mail address below) if you have any suggestions or to let me know you have used it and found it helpful. Posters using it have already appeared in multiple machine learning conferences and are now in use my multiple research groups.
  • During the 2008-2009 and 2009-2010 academic years, I co-organized the Machine Learning Tea at Berkeley.