Resume

 
Simon Ho
Data Scientist
Technical Skills
Data analysis
Data cleaning
Data visualization
Data pipelines
Statistics
A/B testing
Experimental design
Hypothesis testing
Metric design and evaluation
Machine learning
Supervised learning
Unsupervised learning
Computer vision
Software
Python
Pandas
NumPy
Matplotlib
PyTorch
R
Docker
Apache Kafka
Databases (SQL)
Git

Data Scientist with expertise in data analysis, statistics, and machine learning. Over 8 years of experience in planning and leading data-driven research projects, from developing data collection and analytics pipelines, to clearly communicating insights to both technical and non-technical audiences.

Experience
User Researcher
Sprung Studios2021 - Present
  • External research partner for AAA PC, console, and mobile games.
  • Programmed internal tools (Python, C#) to collect, analyze, and visualize datasets.
  • Researched and developed new data-driven analytics services.
  • Led client meetings to scope project requirements, develop research plans, and present reports.
Research Scientist (visiting)
Microsoft2019 - 2020
  • Designed and implemented algorithms for extracting novel spatial metrics from HoloLens 2 sensors.
  • Constructed data pipeline to collect, clean, and analyze hardware sensor data.
  • Performed exploratory analysis to research the usability of new metrics in different production contexts.
  • Provided insights to the data science team regarding the value, viability, and potential pitfalls of implementing the spatial metrics in production.
Research Scientist
Attentional Neuroscience Lab2013 - 2020
  • Applied theoretical statistical knowledge to the analysis of datasets for over 16 published experiments.
  • Constructed multiple data pipelines, from data collection, transformation/aggregation, to data analysis.
  • Developed algorithms to extract model features from raw multidimensional sensor data.
  • Created Python dashboards to aid cleaning of structured data. Reduced data cleaning time by 90%.
  • Programmed open-source data collection platform to collect experiment data across 9 projects, resulting in 50% faster project completion. Link: GitHub/cognitive-battery
  • Created open-source Python package to analyze time-series data. Link: GitHub/sensormotion
  • Published results in 7 peer-reviewed journals and gave presentations at 11 research conferences.
Data Scientist
UBC Centre for Teaching, Learning and Technology2016 - 2019
  • Employed data analysis and experiments to help instructors evaluate new teaching methods.
  • Analyzed A/B test involving 6000 online students to identify factors that affected engagement.
  • Conducted experiments to determine whether the benefits of a novel visualization technique outweighed the cost. Results saved over $2000 in future production cost.
  • Used statistical methods to streamline a multi-institution survey. Reduced total survey length by 28%.
Technical Projects

Webcam eye tracker

  • Developed a webcam-based eye tracker to predict real-time eye gaze location.
  • Programmed data collection pipeline to collect and transform 50k webcam images.
  • Built deep learning computer vision architecture, using PyTorch, to model webcam images.
  • Achieved a final eye tracking error of 1cm, rivalling more expensive infrared-based approaches.

Smartphone walking kinematics

  • Published novel method to measure outdoor walking kinematics using smartphone sensors.
  • Technical lead on cross-functional, collaborative research project with the University of Bristol.
  • Designed algorithms to compute walking metrics from 60 million data points.
  • Method was faster and cheaper than traditional techniques, saving over $7000 in equipment cost.

Game character planner

  • Developed web character planner, used by 250,000 players, for a mobile game using JavaScript/React.
  • Incorporated insights from usability testing into the design of 3 new site features.
Education
PhD
University of British Columbia2015 - 2020

Cognitive Science, minor in Quantitative Methods

MA
University of British Columbia2013 - 2015

Cognitive Science

BA (Honours)
University of British Columbia2009 - 2013

Psychology

Graduate Statistics Courses
  • Research methods
  • Exploratory data analysis
  • Multiple linear regression
  • Analysis of variance
  • Multivariate statistics
  • Measurement theory and survey design
  • Latent factor analysis
  • Structural equation modelling
  • Item response theory
Certifications
Neural Networks and Deep Learning
Coursera (deeplearning.ai)2019
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera (deeplearning.ai)2019
Structuring Machine Learning Projects
Coursera (deeplearning.ai)2019