Teaching

Instructor

    University of San Francisco
  • Spring 2026:
    -Advanced Machine Learning
    -Linear Algebra for Data Science

  • Fall 2025:
    -Linear Regression Analysis

  • Spring 2025:
    -Advanced Machine Learning
    -Linear Algebra for Data Science

  • Fall 2024:
    -Linear Regression Analysis

  • 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

Past Students:

    2024-2025
  • Amit Chaubey and Emma Casal @ Dept. of Ophthalmology, Stanford University, with Sophia Ying Wang
  • Kd Bartholomew and Aman Singh @ The Nature Conservancy, with Kirk Klausmeyer
  • Leah Ashebir and Peeyush Patel @ Manor Lab at UC San Diego, with Uri Manor
  • Ada Zhang, Hamza Louzan, Victor Wei, and Nihal Karim @ Gates Foundation, with Jessica Lundin
  • Helen Lin and Kavin Indirajith @ California Office of Environmental Health Hazard Assessment, with Scott Coffin
  • Andrea Quiroz and Jose Fuentes @ UCSF Clinical Informatics, with Hui Lin
  • 2023-2024
  • Seneth Waterman and Ryan Bernstein @ The Nature Conservancy, with Kirk Klausmeyer
  • Rithvik Donnipadu and Max Sivolella @ Stanford Medicine, with Sophia Ying Wang
  • Abhi Erra and Jeffrey Chen @ UC San Diego, with Uri Manor
  • 2022-2023
  • Xin Ai and Sharon Dodda @ CA Dept. of Fisheries and Wildlife, with Alex Heeren and Brett Furnas
  • Xinyi Jessica Wang and Wan-Chun Elena Liao @ The Nature Conservancy, with Kirk Klausmeyer
  • Devendra Govil and Vichitra Kumar @ Stanford Medicine, with Sophia Ying Wang
  • Mohana Medisetty and Yu-Hsin Wang @ Salk Institute for Biological Studies, with Uri Manor


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