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Frederick "Forrest" Miller

PhD Student
Northeastern University
miller.f (at) northeastern.edu

About Me

I am a PhD Student at Northeastern University Department of Mathematics in the Northeastern University Robust Autonomy Lab (NEURAL) under Professor David Rosen. I am interested in exploring the depths of mathematical optimization and its applications. In particular, I am exploring developing efficient algorithms to solve semi-algebraic optimization problems that arise in machine intelligence.

Outside of mathematics, I like watching movies and going hiking through New England.

Education

Research Interests

My current research involves developing novel algorithms to solve large scale semialgebraic optimization problems. Towards this effort, I was awarded the National Science Foundation Graduate Research Fellowship (NSF GRFP). To get a flavor of my research, check out my research proposal to the GRFP! In short, we hope to develop algorithms and software that can take a large scale polynomial optimization problem and construct and solve its associated SDP relaxation. One key technique we are applying is the Lasserre / Sum of Squares hierarchy for polynomial optimization problems, which is a tool for solving polynomial optimization problems through a sequence of semidefinite relaxations.

In addition, I am particularly interested in developing solutions where the problem data may be contaminated with outliers. Currently, many algorithms are brittle to outliers, but we hope to bridge this gap by developing robust algorithms for these problems.

As an undegraduate, I conducted research in public sector operations research. This involved applying mixed integer linear fractional programming to the problem of marginal shelter deployment for a city. Additionally, I researched deep learning techniques for determining the solution to a certain class of stochastic differential equations for the problem of option pricing in mathematical finance.

Skills

Selected Courses:

As a graduate student at Northeastern University

As an undergraduate at Worcester Polytechnic Institute:

Publications

Presentations

Awards

Teaching and Mentoring Experience

From May 2024 to July 2024, I served as a mentor to two undergraduate students. Together, we explored how to perform large scale eigenvalue computations.

Additionally, I served as Peer Learning Assistant (PLA) for the Mathematical Sciences Department at WPI from August 2020 to May 2023. This entails:

  1. Manage a section of 20 to 35 students in mathematical sciences courses at WPI
  2. Run a weekly discussion section reviewing lecture content
  3. Grade Homework & exams for the section working with a Professor and other PLAs and Teaching Assistants

Courses PLA’d:

Leadership


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