HELLO!

I am excited to announce, for one year, starting in Sept. 2019, I will be working as a Research Scientist at Google Brain, Montreal. Then (starting 2020), I will be joining the Mathematics and Statistics department at McGill University as an assistant professor.

I received my Ph.D. from the Mathematics department at the University of Washington (2017) under Prof. Dmitriy Drusvyatskiy then I held a postdoctoral position in the Industrial and Systems Engineering at Lehigh University where I worked with Prof. Katya Scheinberg. I held an NSF postdoctoral fellowship (2018-2019) under Prof. Stephen Vavasis in the Combinatorics and Optimization Department at the University of Waterloo.

My research broadly focuses on designing and analyzing algorithms for large-scale optimization problems, motivated by applications in data science. The techniques I use draw from a variety of fields including probability, complexity theory, and convex and nonsmooth analysis.

Washington, Lehigh University, and Waterloo have strong optimization groups which spans across many departments: Math, Stats, CSE, EE, and ISE. If you are interested in optimization talks at these places, check out the following seminars:

EMAIL: yumiko88(at)uw(dot)edu or yumiko88@u.washington.edu

OFFICE:

RESEARCH

I study continuous optimization. My work has centered on various aspects of convex optimization with an emphasis on the continuous side, with connections to practical applications particularly machine learning. I work in variational analysis, a study which generalizes the concepts of differential analysis to functions that lack differentiability, but I also pursue research in first order algorithms to solve large sums of composition functions efficiently. My current work focuses on using first-order methods on structured non-convex and non-smooth problems.

You can view my CV here if you are interested in more details.

You can view my thesis titled: Structure and complexity in non-convex and nonsmooth optimization.

Papers

INVITED TALKS

I have given talks on the research above at the following conferences:

TEACHING

Current Course:

Math 1152: Calculus II, Autumn 2017 Website

EMAIL: paquette.34(at)osu(dot)edu

OFFICE HOURS:

Past Courses

I have taught the following courses:

  • Math 125 BC/BD: Calculus II Quiz Section, Winter 2017; course webpage
  • Math 307 E: Intro to Differential Equations, Winter 2016
  • Math 124 CC: Calculus 1, Autumn 2015
  • Math 307 I: Intro to Differential Equations, Spring 2015
  • Math 125 BA/BC: Calculus 2, Winter 2015
  • Math 307 K: Intro to Differential Equations, Autumn 2014
  • Math 307 L: Intro to Differential Equations, Spring 2014