I'm Andrew Lawrence Stewart

I'm a data scientist working in Vancouver, British Columbia

See what I do

Professional

Convergent Manufacturing Technologies

I'm working as a data scientist for a Vancouver based company focused on bringing machine learning solutions to create a family of new products, and augment existing products, in the realm of manufacturing simulation. I report to the Director of Research and the Software Development group's Engineering Lead. I'm tasked as a full stack data scientist; from data collection and munging to development, implementation, and testing of modern machine learning packages. I regularly attend the [Advanced] Data Science Reading Groups put on by Learn Data Science which are held at SFU Harbour Centre. I'm always interested in discussing machine learning; feel free to reach out if you want to work together on a project.

University of British Columbia

I hold a Ph.D. in Materials Engineering from the University of British Columbia which I completed at the end of 2018 while working under the supervision of Professor Anoush Poursartip.

The focus of my research was in the area of fibre alignment defects occurring during processing of aerospace grade carbon fibre reinforced composite materials. Much of my work employed image analysis techniques to generate large datasets on incoming material properties as well as applying image analysis to track defect initiation and propagation. Working with these large datasets necessitated the creation of novel automated techniques to effectively reduce the information into communicable results.

University of Ottawa

I completed my master's of applied science at the University of Ottawa under the supervision of Professor François Robitaille in the summer of 2012. My area of research was in the measurement and analysis of fluid transport through porous media, specifically with respect to liquid transport moulding of composite materials. The title of my thesis was 'Measurement and Analysis of Flow in 3D Preforms for Aerospace Composites'; a digital copy of it can be found here.

I graduated cum laude from the University of Ottawa in the spring of 2010 where I received a Bachelor of Applied Science in Mechanical Engineering.

PhD Research

Data driven contributions

My doctoral work focused on carbon fibre reinforced polymer (CFRP) materials. Specifically, I studied a type of fibre alignment defect, wrinkling and waviness, observed during manufacturing.

From the Boeing 787 Dreamliner to the BMW i3, CFRP parts have on the order of millions to billions of individual carbon fibres. However, typical datasets in this field are composed of tens to hundreds of data points. As part of my work, I created an automated procedure, based on image recognition and manipulations techniques, which was able to quickly and effectively return information on over 200'000 fibres. Using this information, along with other novel approaches, I was able to provide a phenomenological model for underlying fibre architecture. The high statistical power from the large dataset provided very high confidence in the results and has been published in the peer reviewed Composites Part A journal.

Personal

Drones

Youtube

3D printing

Server: Octoprint

Twisty puzzles

Youtube

Home automation

Server: Home-Assistant
Source: Github

About me

I'm the type of person who really enjoys learning in general; so when I'm not focusing on doing MOOCs or work, I typically have one (or a few) projects on the run. I'm mainly interested in DIY projects, especially the intersection of electronics and mechanics. I built a 3D printer a few years ago and it is an instrumental part in realizing most of my projects; from fitting GoPro's onto drones to servo housings for automating my blinds.

I'm almost finished building a 2m x 3m LED wall with over 1000 LEDs in 66 segments; think Ex Machina. I'm also working on a robotic chess board based off of a Core-XY gantry design and standard 2020 extruded aluminium.

From the Raspberry Pi3 running an nginx server forwarding you this page right now to my 20+ piece collection of Rubik's cubes, if you have any questions on anything you see here, please feel free to e-mail me.