michael jongho moon

a student in statistics

Education

PhD in Statistical Sciences
University of Toronto
In Progress Toronto, ON, Canada
Bayesian Demography Lab supervised by Dr. Monica Alexander
MSc in Biostatistics
Dalla Lana School of Public Health, University of Toronto
Nov 2016 Toronto, ON, Canada
BASC in Systems Design Engineering
University of Waterloo
Jun 2013 Waterloo, ON, Canada
Co-operative Program with Management Sciences Option | Graduated with Distinction and Dean’s Honours List

Teaching

 
 
 
 
 
Course Instructor for EEB125 - Computation and Data Science for the Life and Physical Sciences
Department of Statistical Sciences, University of Toronto
Jan 2024 – Apr 2024 Toronto, ON, Canada
  • An introduction to data science for life science students using Python
  • Co-taught with an instructor from the Computer Science Department and another from the Ecology & Evolutionary Biology Department
 
 
 
 
 
Course Instructor for GGR274 - Computation and Data Science for Social Sciences
Department of Statistical Sciences, University of Toronto
Jan 2024 – Apr 2024 Toronto, ON, Canada
  • An introduction to data science for social science students using Python
  • Co-taught with an instructor from the Computer Science Department and another from the Geography & Planning Department
 
 
 
 
 
Course Instructor & Course Coordinator for STA238 - Probability, Statistics, and Data Analysis II
Department of Statistical Sciences, University of Toronto
Jan 2024 – Apr 2024 Toronto, ON, Canada
  • Coordinated 4 sections with 2 other instructors
  • Managed 16 teaching assistants
  • Taught 2 sections
 
 
 
 
 
Course Instructor for STA237 - Probability, Statistics, and Data Analysis I
Department of Statistical Sciences, University of Toronto
May 2023 – Jun 2023 Toronto, ON, Canada Course slides
 
 
 
 
 
Course Instructor for STA237 - Probability, Statistics, and Data Analysis I
Department of Statistical Sciences, University of Toronto
May 2022 – Jun 2022 Toronto, ON, Canada Syllabus Course slides
 
 
 
 
 
Course Instructor for STA490 - Statistical Consultation, Communication, and Collaboration
Department of Statistical Sciences, University of Toronto
Sep 2021 – Apr 2022 Toronto, ON, Canada
  • Delivered the course online due to COVID-19
  • Co-designed with Liza Bolton
 
 
 
 
 
Course Instructor for STA237 - Probability, Statistics, and Data Analysis I
Department of Statistical Sciences, University of Toronto
May 2021 – Jun 2021 Toronto, ON, Canada Syllabus Course website
  • Delivered the course online due to COVID-19
 
 
 
 
 
Course Instructor for STA305 - Design and Analysis of Experiments
Department of Statistical Sciences, University of Toronto
Jul 2020 – Aug 2020 Toronto, ON, Canada Syllabus Course website
  • Delivered the course online in a hybrid format offering online reading materials and holding virtual lectures due to COVID-19
 
 
 
 
 
Teaching Assistant for Various Courses
Department of Statistical Sciences, University of Toronto
Sep 2018 – Apr 2023 Toronto, ON, Canada

Winter 2023

  • JSC370 - Data Science II

  • STA437 - Methods for Multivariate Data

Fall 2022

  • STA313 - Data Visualization

Year 2020-21

  • STA490 - Statistical Consultation, Communication, and Collaboration

Winter 2021

  • STA313 - Data Visualization

Fall 2020

  • STA247 - Probability with Computer Applications

  • STA257 - Probability and Statistics

Summer 2020

  • STA237 - Probability, Statistics, and Data Analysis

Winter 2020

  • STA247 - Probability with Computer Applications

  • JSC270 - Data Science I

  • JSC370 - Data Science II

Fall 2019

  • STA247 - Probability with Computer Applications

  • STA305 - Design and Data Analysis

Summer 2019

  • STA255 - Statistical Theory

  • STA257 - Probability and Statistics

Winter 2019

  • STA261 - Probability and Statistics II

  • JSC270 - Data Science I

Fall 2018

  • STA410 - Statistical Computation
 
 
 
 
 
Teaching Assistant for Various Courses
Department of Computer and Mathematical Sciences, University of Toronto
Jan 2016 – Aug 2019 Scarborough, ON, Canada

Summer 2019

  • STAC67 - Regression Analysis

Summer 2016

  • STAB22 - Introduction to Statistics

  • MATA33 - Calculus for Management II

Winter 2016

  • STAB22 - Introduction to Statistics

  • MATA22 - Linear Algebra I

  • MATA33 - Calculus for Managemeent II

Publications

Abhraneel Sarma, Alexander Kale, michael jongho moon, Nathan Taback, Fanny Chevalier, Jessica Hullman, Matthew Kay (2023). multiverse: Multiplexing alternative data analyses in R notebooks. CHI `23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems.

Cite Code DOI Package Documentation

Michael Evans, Miaoshiqi Liu, michael jongho moon, Sabrina Sixta, Siyi Wei, Siyue Yang (2023). On some problems of Bayesian region construction with guaranteed coverages. Statistical Papers.

Cite DOI

Annie Dupuis, michael jongho moon, Jessica Brian, Stelios Georgiades, Tomer Levy, Evdokia Anagnostou, Rob Nicolson, Russell Schachar, Jennifer Crosbie (2021). Concurrent validity of the ABAS-II questionnaire with the Vineland II interview for adaptive behaviour in a pediatric ASD sample: High correspondence despite systematically lower scores. Journal of Autism and Development Disorders, 51(5).

Cite DOI

Myrtha E. Reyna, Boxi Lin, Lehang Zhong, michael jongho moon, Mohammad Kaviul Anam Khan, Thai-Son Tang (2021). The role of population mobility and non-pharmaceutical interventions on COVID-19 infection: A Canadian case study of Granger-Causal relationships. Preprint available at SSRN.

Cite DOI

Presentations

Racial disparities in the life lived without parents: A multistate life table approach
Apr 18, 2024 10:30 AM - 12:00 PM Columbus, OH, United States
Project
A Bayesian multistate model to understand racial disparities in the transitions between opioid use, misuse, and fatal overdoses
Apr 13, 2023 10:30 AM - 12:00 PM New Orleans, LA, United States
PDF Project
mverse: How the R package is designed to help students explore the multiverse
Nov 10, 2022 Toronto, ON, Canada
Code Project Slides
mverse: An R library for teaching and conducting multiverse analysis
Data analysis requires multiple iterations of data cleaning and wrangling, visualizations, and fitting models, but the statistical …
Jun 7, 2021 1:30 PM - 1:45 PM Online
Code Project Slides
Predicting flu cases using dynamic regression with Google Flu Trend
May 30, 2016 St. Catharines, ON, Canada
PDF Project

Honours & Awards

Queen Elizabeth II Graduate Scholarship in Science and Technology
University of Toronto Jul 2020
U of T COVID-19 Student Egagement Award
University of Toronto Jun 2020
John Hsieh Award
University of Toronto Jun 2017
Case Studies in Data Analysis Poster Competition Winner
2016 Annual Meeting of Statistical Society of Canada St. Catharines, ON, Canada May 2016
Dean’s Honours List
University of Waterloo Jun 2013
Engineering Student Opportunity Award
University of Waterloo Oct 2010
Queen Elizabeth II Aiming for the Top Scholarship
Ontario Ministry of Training, Colleges, and Universities Sep 2005
President’s Scholarshiop
University of Waterloo Sep 2005

Employments

 
 
 
 
 
Assistant Professor, Teaching Stream
Department of Statistical Sciences, University of Toronto
Jan 2024 – Present Toronto, ON, Canada
 
 
 
 
 
Research Assistant
Department of Statistical Sciences, University of Toronto
Nov 2019 – Dec 2021 Toronto, ON, Canada
  • Developing an R package for teaching and conducting multiverse analysis
  • Supervised by Dr. Nathan Taback and Dr. Fanny Chevalier
 
 
 
 
 
Data Scientist
Neural Insight Inc./Brainergy.AI
Oct 2016 – Dec 2017 Toronto, ON, Canada
  • Implemented real-time decision engines leveraging both account and transaction data at a financial institution client
  • Acted as a liaison between the technical team and the business stakeholders across marketing, fraud, and risk at the client firm
  • Assisted defining the core data models researching algorithms for an end-to-end data analytics application design targeted at financial institutions
 
 
 
 
 
Research Student
The Hospital for Sick Children
Oct 2015 – Apr 2016 Toronto, ON, Canada
  • Pre-processed, analyzed, and visualized data for researches in child psychology
  • Conducted statistical analyses including correlation analysis, mixed model regression, and hierarchical clustering using SAS and R
 
 
 
 
 
Staff Consultant
Ernst & Young LLP.
Sep 2013 – Jun 2015 Toronto, ON, Canada
  • Supported multiple client-facing projects performing researches, analyses, and communication developments
  • Gathered, pre-processed, analyzed a government client’s financial and operational data to develop financial models for program assessments
  • Other projects included strategy development, risks assessments, and organization design for IT departments at different firms
  • Clients included government, health, and financial institutions
 
 
 
 
 
Quality Analyst Co-op
Vastardis Capital Services
May 2012 – Aug 2012 Burlington, ON, Canada
  • Supervised a junior co-op student to plan, perform, and implement both manual and automated tests for the firm’s investment management application
  • Accelerated the development cycle by automating test runs and reporting to the application’s continuous integration process
 
 
 
 
 
Technical Analyst Co-op
CGI Group Inc.
Sep 2011 – Dec 2011 Markham, ON, Canada
  • Assisted multiple software development projects with techincal tasks
  • Reduced the testing time of a web service project by automating manual unit tests in Java
  • Automated test runs and reporting by integrating the test suites into a continuous integration process
 
 
 
 
 
QA Engineering Co-op
OpenText
Jan 2011 – Apr 2011 Richmond Hill, ON, Canada
  • Created test plans and executed functional tests for the enterprise social media software on different platforms including iPhone, Blackberry, and multiple web browsers on PC
  • Recommended areas of improvement in usability of the software by analyzing reported issues against a set of usability heuristics
 
 
 
 
 
Engineering Intern
Hancom Inc.
Jun 2010 – Aug 2010 Seoul, South Korea
  • Supported multiple projects with technical and research tasks
  • Assisted the internationalization of the company’s Korean office suite product
 
 
 
 
 
Research Assistant
Defence Research and Development Canada
Sep 2009 – Dec 2009 Toronto, ON, Canada
  • Supported multiple research projects in human systems integration as a co-op student
  • Conducted a research on the landscape of uninhibited underwater vehicles for a research on human factors related to operating the vehicles
 
 
 
 
 
Enlisted Translator
ROK-US Combined Forces Command
Dec 2006 – Nov 2008 South Korea
  • Served as an enlisted translator in the Republic of Korea Army and Retired as a sergeant
  • Translated and interpreted between the Republic of Korea and the United States forces medical planning offices