Michael J. Moon

Data Science Enthusiast
MSc. in Biostatistics
BASc. in Systems Design Engineering

Skills and Interests

Analytical Methods
  • Regression
  • Time series analysis
  • Survival analysis
  • Clustering
  • Hypothesis testing
  • Data visualization
  • Cross-validation
  • Bootstrapping
  • Tree-based models
  • Neural networks
Data Tools
  • R
  • Python
  • SAS
  • SQL
  • Hive
  • Spark
Business Tools
  • MS PowerPoint
  • MS Excel
  • MS Word
  • MS Visio
Others
  • SDLC
  • Web development
  • HTML
  • CSS
  • JavaScript

Education

University of Toronto, Toronto, Ontario, Canada

Master of Science in Biostatistics

November 2016

Major Courses
  • Statistical analysis of health economic data
  • Time series analysis
  • Modern statistics and data mining
  • Survival analysis
  • Mathematical statistics
  • Categorical data analysis

University of Waterloo, Waterloo, Ontario, Canada

Bachelor of Applied Science in Systems Design Engineering

June 2013 | Co-operative Program with Management Sciences Option | Graduated with Distinction and Dean’s Honour’s List

Major Courses
  • Forecasting
  • Stochastic models and methods
  • Introduction to pattern recognition
  • Product and service operations management
  • Managing new product and process innovation

Projects

Predicting flu cases using dynamic regression with Google Flu Trend

Mohammad Khan, Sangook Kim, Kuan Liu, Michael J. Moon | Dalla Lana School of Public Health, the University of Toronto | March 2016 to May 2016
Participated in the student case study and poster competition where the objective was to assess association between GFT predictions and actual respiratory illnesses and to construct a prediction model for influenza outbreaks. Developed multiple ARIMA-based times series prediction models and implemented cross-validation algorithms to compare them with dynamic regression models. Also, designed, developed, and presented the final poster presenting the study methods and results using Microsoft PowerPoint and R.

Training a deep neural network to evaluate board positions in a game of Go based on simulated games

Independent research, the University of Toronto | May 2016 to August 2016
Implemented a Go game simulator and neural networks to predict the probability of winning based on the current position. Implemented deep neural networks based on AlphaGo implementation in R and MXNet and trained them using purely simulated data.

Prevalence of rigid and ritualistic repetitive behaviour in children with ASD and high ADHD traits

Supervised by Dr. Annie Dupuis, the Hospital for Sick Children | January 2016 to April 2016
Assisted the study of the effect of having high ADHD traits on children diagnosed with ASD using data collected by the Province of Ontario Neurodevelopmental Disorders Network (POND). Conducted various statistical analyses including logistic regression, cluster analysis, and repeated measure modelling using SAS and R.

Concurrent validity of the ABAS-II and the Vineland II in an ASD sample

Supervised by Dr. Annie Dupuis, the Hospital for Sick Children | October 2015 to January 2016
Assisted the assessment of correlation and systematic differences between the two adaptive behaviour measures using data collected by the Province of Ontario Neurodevelopmental Disorders Network (POND). Conducted various statistical analyses including intra-class correlation estimation, visual assessment of systematic differences through Bland-Altman plots and other graphs, and multivariate regression analysis using SAS and R.

Predicting injuries of starting pitchers in Major League Baseball

Independent research, the University of Toronto | October 2015 to January 2016
Designed and conducted a study to identify major factors associated with a starting pitcher’s injuries using MLB game-play data available online. Identified and gathered data related to game-play, roster, and disabled lists from multiple sources – approximately 320Mb of data. Joined and cleaned the data using SQL and R by matching teams and player names. Developed a logistic regression model as well as tree-based models including a random forest model to identify the key factors and to build a predictive model for injuries during a season.

Routing system for electric vehicles

Daniel Arrizza, Talyer Deith, Peter Lee, Michael J. Moon | Supervised by Dr. Bruce Hellinga, the University of Waterloo | September 2012 to April 2013
Designed a routing system for electric vehicles which presented alternate shortest paths with charging stations en route when needed based on the current battery level of the vehicle. Conducted researches on relevant areas including routing system market, traffic simulations, and battery consumption models. Developed and implemented a shortest path algorithm derived from A* search algorithm in Python which connected to the map database in MongoDB and was presented in an Android app.

Breast cancer self-examination aid

Juliana Chung, Taylor Deith, Shahid Haider, Michael J. Moon, Christopher Wu | Supervised by Dr. John Zelek, the University of Waterloo | January 2012 to April 2012
Designed a breast cancer self-examination aid using pressure sensors detecting abnormally denser areas suggesting signs of potential illness. Conducted researches on relevant areas including socioeconomic imparts of cancers, breast cancer self-examination mechanics and effectiveness, and pressure sensor market. Developed a mechanical prototype using pressure sensors and a decision logic implemented in Arduino and MATLAB based on simulations using a tactile-baed self-examination training module.

Publications and Presentations

Publications

Concurrent validity of the ABAS II and the Vineland II in an ASD sample (Pending submission)

Annie Dupuis1, 2, Michael J. Moon2, Jessica Brian3, Russell Schachar4, 5, Jennifer Crosbie

1 Biostatistics, Design & Analysis, the Hospital for Sick Children | 2 Dalla Lana School of Public Health, the University of Toronto | 3 Holland Bloorview Kids Rehabilitation Hospital | 4 The Department of Psychiatry, the Hospital for Sick Children | 5 The Department of Psychiatry, the University of Toronto

Presentations

Predicting flu cases using dynamic regression with Google Flu Trend

Mohammad Khan, Sangook Kim, Kuan Liu, Michael Moon | Statistical Society of Canada 2016 Annual Meeting, St. Catharines, Ontario | May 30, 2016

Dalla Lana School of Public Health, the University of Toronto

Other Contributions

These are works where I made minor contributions without being an author. While the work conducted may be relatively minor, they had substantial impacts in my early professional stage.

POND phenotype group update presentation

Annie Dupuis1, 2, Russell Schachar3, 4 | POND Annual Science Days, Peter Gilgan Centre for Research and Learning, Toronto, Ontario | December 14-15, 2016

1 Biostatistics, Design & Analysis, the Hospital for Sick Children | 2 Dalla Lana School of Public Health, the University of Toronto | 3 The Department of Psychiatry, the Hospital for Sick Children | 4 The Department of Psychiatry, the University of Toronto

Human factors issues when operating unmanned underwater vehicles

Geoffrey Ho, Nada J. Pavlovic, Robert Arrabito, Rifaat Abdalla | Technical report, Defence Research and Development Canada Toronto, Toronto, Ontario | March 2011

Defence Research and Development Canada

Awards and Honours

John Hsieh Award
University of Toronto | June 2017
Award for case studies in data analysis
Statistical Society of Canada 2016 Annual Meeting | May 2016
Dean’s Honours List
University of Waterloo | June 2013
Graduation with distinction
University of Waterloo | June 2013
Engineering Student Opportunity Award
University of Waterloo | October 2010
Queen Elizabeth II Aiming for the Top Scholarship
Ontario Ministry of Training, Colleges and Universities | September 2005
President’s Scholarship
University of Waterloo | September 2005

Teaching Experience

University of Toronto, Scarborough, Ontario, Canada

Teaching Assistant

Courses

May 2016 to August 2016

  • STAB22: Introduction to Statistics
  • MATA33: Calculus for Management II

January 2016 to April 2016

  • MATA23: Linear Algebra I
  • MATA33: Calculus for Management II

Working Experience

Neural Insight Inc.

Data Scientist

October 2016 to present | Toronto, Ontario, Canada

Responsibilities
  • Implemented a real-time analytics platform to enable automated decisions by leveraging multiple data sources within a financial institution client
  • Consulted with business stakeholders and developed customer insights for various business units across marketing, fraud, and risk to accelerate the decision-making processes

The Hospital for Sick Children

Research Student

October 2015 to April 2016 | Toronto, Ontario, Canada

Responsibilities
  • Pre-processed, analyzed, and visualized data for researches in children’s psychology
  • Conducted statistical analyses including correlation analysis, mixed model regression, repeated measure logistic regression, and hierarchical clustering using SAS and R

Ernst & Young LLP.

Staff Consultant

September 2013 to June 2015 | Toronto, Ontario, Canada

Responsibilities
  • Supported multiple client facing projects performing analyses and developing communications for various levels of client stakeholders
  • Gathered, pre-processed, and analyzed a government client’s financial and operational data to develop financial models for program assessments
  • Projects included IT organization design, risk assessment, and strategy development
  • Clients included government, health, and financial sector organizations
  • Managed and contributed to client projet proposal developments for government, health, and financial sector clients

Vastardis Capital Services

Quality Analyst Co-op

May 2012 to August 2012 | Burlington, Ontario, Canada

Responsibilities
  • Led a quality assurance co-op team performing manual and automated tests as part of the scrum process for the company’s investment management software
  • Created an automated reporting process with integrated test automation to accelerate the development cycle using CruiseControl.NET and Visual Studio Unit Test Framework

CGI Group Inc.

Technical Analyst Co-op

September 2011 to December 2011 | Markham, Ontario, Canada

Responsibilities
  • Performed various technical tasks to assist multiple software development projects
  • Minimized the testing time of an internal web service project by automating manual unit tests using JUnit framework
  • Integrated the automated tests into the development project’s continuous improvement proecess to enable periodic test runs and reporting in Jenkins

OpenText

QA Engineering Co-op

January 2011 to April 2011 | Richmond Hill, Ontario, Canada

Responsibilities
  • Created test plans and executed the functional tests for the enterprise social media software on different platforms including iPhone, Blackberry, and various web browsers on PC
  • Recommended areas of improvement in usability of the software by analyzing reported issues against a set of usability heuristics

Hancom Inc.

Engineering Intern

June 2010 to August 2010 | Seoul, South Korea

Responsibilities
  • Assisted the internationalization effort of the company’s office suite products

Defence Research and Development Canada

Research Assistant

September 2009 to December 2009 | Toronto, Ontario, Canada

Responsibilities
  • Supported various research projects in human systems integration as a co-op student at the research lab
  • Conducted a research on the landscape of uninhibited underwater vehicles for a research on human factors related to operating uninhibited underwater vehicles

ROK-US Combined Forces Command

Enlisted Translator

December 2006 to November 2008 | South Korea

Responsibilities
  • Served as an enslited translator in the Republic of Korea Army and retired as a sergeant
  • Conducted translations and interpretations between the Republic of Korea and the United States forces medical planning offices