Cody Carroll

Cody Carroll

Assistant Professor at University of San Francisco

Teaching

Instructor

    University of San Francisco
  • Spring 2024:
    -Statistics with Applications
    -Intro to Data Science with R
    -Linear Algebra for Data Science

  • Fall 2023:
    -Linear Regression
    -Intro to Data Science with R

  • Spring 2023:
    -Advanced Machine Learning
    -Linear Algebra for Data Science

  • Fall 2022:
    -Machine Learning Laboratory
    -Communications for Analytics

    • University of California, Davis
  • Spring 2022:
    Applied Statistics for Business and Economics

  • Summer 2019:
    Brief Course in Mathematical Statistics II

  • Spring 2019:
    Applied Statistics for Biological Sciences

  • Summer 2018:
    Applied Statistics for Business and Economics

    • International Experience
  • 2014-2015:
    ESL Teacher, Nishinomiya Imazu Senior High School, Nishinomiya, Japan


Mentoring
University of San Francisco
Practicum and Research Mentorship

Current Students:


Past Students:

    2023-2024
  • Seneth Waterman @ The Nature Conservancy, with Kirk Klausmeyer
  • Ryan Bernstein @ The Nature Conservancy, with Kirk Klausmeyer
  • Rithvik Donnipadu @ Stanford Medicine, with Sophia Ying Wang
  • Max Sivolella @ Stanford Medicine, with Sophia Ying Wang
  • Abhi Erra @ UC San Diego, with Uri Manor
  • Jeffrey Chen @ UC San Diego, with Uri Manor
    • 2022-2023
  • Xin Ai @ CA Dept. of Fisheries and Wildlife, with Alex Heeren and Brett Furnas
  • Sharon Dodda @ CA Dept. of Fisheries and Wildlife, with Alex Heeren and Brett Furnas
  • Xinyi Jessica Wang @ The Nature Conservancy, with Kirk Klausmeyer
  • Wan-Chun Elena Liao @ The Nature Conservancy, with Kirk Klausmeyer
  • Devendra Govil @ Stanford Medicine, with Sophia Ying Wang
  • Vichitra Kumar @ Stanford Medicine, with Sophia Ying Wang
  • Mohana Medisetty @ Salk Institute for Biological Studies, with Uri Manor
  • Yu-Hsin Wang @ Salk Institute for Biological Studies, with Uri Manor
  • Rushil Manglik, USF


University of California, Davis

    Honors Thesis Mentor:
  • Warping methods for wearable device data, by Hainiu Xu
    • NSF Research Training Group Mentor:
  • Warping methods for wearable device data, with Hainiu Xu
  • Functional regression for wearable device data, with Phoebe Biying Li
  • Functional clustering for wearable device data, with Weiyi Chen
  • Geographic trends for functional housing price data, with Yunbai Zhang
  • Functional data analysis of global temperature extrema, with Cynthia Lai