ANDREW KOPE

In 2013, I graduated with an Honors Degree in Psychology and a Master's Degree in Computer Science. After graduating, I spent 2 years working as a data scientist at Big Blue Bubble, an indie mobile game studio, where I ultimately led a team of 7 analysts as manager of Business Intelligence.

In 2016 I joined Bridgit as their Lead Data Scientist, but quickly returned to mobile gaming in 2017 on the Marketing Analytics team at Machine Zone in Palo Alto. In 2018 I moved to the supply side, joining Facebook as a Marketing Scientist specializing in measuring the advertiser value accrued by new video ad products.

Outside of work I spend my time hiking in the California countryside, watching obscure movies on Netflix, and working on sewing projects - often accompanied by a glass of single malt Scotch.

         




EXPERIENCE

Marketing Scientist - Facebook

2018 - Present

- work with product teams to measure value delivered to advertisers
- focus on video ads across placements within the Facebook core app
- use Bayesian lift framework to compare advertiser campaign performance

Senior Analyst - Machine Zone

2017 - 2018

- designed experiments to measure incrementality (lift) of retargeting ad campaigns
- market-basket analyses of user purchase data used to inform creative copy
- completed decision tree analysis of post-install events to predict paying users
- contributed to code base for internal retargeting ad partner write API system

Lead Data Scientist - Bridgit Inc.

2016 - 2017

- collaborated with Product Manager on analytics product features
- uncovered insights in existing data resources
- developed data driven practices in sales / marketing strategy
- built customer-facing data visualization system

Head of Data Analytics - Big Blue Bubble

2014 - 2016

- managed team that architected and built real-time big data analytics system
- oversaw maintenance of corporate reporting dashboard
- supported finance team and executive leadership
- helped maximize IAP and ad publishing revenue with deep insight-driven analysis

Data Scientist - Big Blue Bubble

2014

- business intelligence role
- identified and reduced sources of user churn
- modeled free-to-play game economies
- explored machine learning approach to user behavior prediction

Sessional Lecturer - Western University

2013 - 2014

- taught introductory computer science courses
- gave lectures on analysis of algorithms, recursion, and data structures
- made compelling presentations to audiences with mixed backgrounds of experience


EDUCATION

M.Sc. in Computer Science

2012 - 2013

Western University
Supervised by Dr. Mark Daley
Thesis: Performance Comparison of 3D Sinc Interpolation for fMRI Motion Correction by Language of Implementation and Hardware Platform

Module in Computer Science

2011 - 2012

Western University
Supervised by Dr. Michael Katchabaw
Project: Modeling Autobiographical Memory for Artificial Intelligence Robots

Hon. Spec. B.A. in Psychology

2007 - 2011

Western University
Minor in Ethics
Supervised by Dr. Patrick Brown
Thesis: Shared Spatial Skills in Time Perception and Number Processing

PRESENTATIONS

2018 GDC SF
Watching the Watchers: Insights from Tracking Website Visitors
Session Speaker
2017 Proteus Innovation Competition
Apex Data Solutions
1st Prize Winner of $7500
2016 University of Waterloo Games Institute
Sounds cool, but will it make money? Success Factors in Free-to-Play Games
Guest Speaker
2016 Waterloo Fusion Conference
Mobile App Analytics
Session Presentation
2016 Big Data & Analytics Summit Canada
Fostering Cross-departmental Collaboration in Your Big Data Project
Panelist
2015 Western Industry Problem Solving Workshop
Big Blue Bubble Inc. Data Analytics Problem
Industry Partner
2014 Western Industry Problem Solving Week
"Real-World Problems Get Students Thinking"
Executive Committee Chair
2013 Artificial Intelligence and Interactive Digital Entertainment
Modeling Autobiographical Memory for Believable Agents
2013 Canadian Association for Neuroscience
CRBMseg: Brain MRI Tissue Segmentation with a Continuous Restricted Boltzmann Machine
2013 UWO Research in Computer Science Conference
Brain MRI Tissue Segmentation with a Continuous Restricted Boltzmann Machine
Conference Planning Team Member and Volunteer Session Chair
2013 Western Research Forum
Brain MRI Tissue Segmentation with a Continuous Restricted Boltzmann Machine
Winner of the Engineering and Computer Science Presentation Session
2013 IBM-UWO Data Analysis and Problem Solving Competition 2013
Measuring Urbanity: The Urban Development Index
2012 CREATE Retreat
Effect of Cognitive Control on fMRI Derived Graphs
2012 BIOMAG
Temporal Topological Transformation in Dynamic MEG-Derived Graph Sequences
2011 UWO Honors Thesis Conference
Shared Spatial Skills in Time Perception and Number Processing

PAPERS

Computer Science

2014 Performance Comparison of 3D Sinc Interpolation for fMRI Motion Correction by Language of Implementation and Hardware Platform
2013 Modeling Autobiographical Memory for Believable Agents
2012 CRBMseg: Brain MRI Tissue Segmentation with a Continuous Restricted Boltzmann Machine
2012 Parallelizing the Hungarian Method on GPU (presentation)


Psychology

2011 Shared Spatial Skills in Time Perception and Number Processing
2011 Writing the Mental States of Others
2011 Embodied Cognition and the Reality of Body Ownership Illusions
2011 Word Boundary Learning in Simple Recurrent Networks
2010 Proposal: Effects of Face Recognition Training on 5-6 Year-Olds
2010 General Event Knowledge during Single Word Comprehension
2010 Literature Review: Embodied Cognition


Philosophy

2011 Against Railton's Objective Values
2011 Against Mackie's Error Theory: Value Agnosticism
2010 Human Nature: Hobbes and Locke
2010 Analogizing Commercial Gestational Surrogacy
2009 The Practical Implausibility of Kant's Universalizability Test
2009 The Mistaken Assumptions Undermining the Experience Machine Argument