Accelerating Data Science, Rising Technical UX Designers and Augmenting In-Home Support

Halfway through our afternoon we have a session block that has a theme of pushing the limits and finding new perspectives to tackling different tech challenges. 

2:45 PM – 3:30 PM

Axel-Christian Guéi

Axel-Christian Guéi is passionate about artificial intelligence and deep learning. He studied computer science at University of Moncton where he published 5 research papers involving deep learning applications in various domains (security, biometry, content generation with GANs, etc.).

He has worked on multiple AI projects with several companies in New Brunswick. He is currently working as a Machine Learning specialist at Teledyne-Caris in Fredericton. He spends most of his free time conducting deep learning experiments and digging into research papers.

Short on time? Accelerate Your Data Science with GPUs


Data scientists are facing a constant obstacle in their daily workflow. This obstacle is the massive amount of data they need to process every single day. Billions of data points are gathered, stored and need to be processed in a reasonable amount of time. Most of the data scientist’s time is spent visualizing, cleaning, analyzing, preparing the data and often also train a machine (or deep) learning model. These tasks are very expensive and time consuming when the process must be repeated multiple times. Many technologies and tools such as Hadoop, Spark, etc. have been developed to address this problem. But until recently, most of that processing was done on the CPU, only the training part was taking advantage of the GPU acceleration. Today, with some fresh­ released tools made by brilliant minds around the world, data scientists, machine learning developers and data analysts are now able to conduct most of their data wrangling processes directly on the GPUs. Those tools drastically decreased the amount of time spent on those time­ consuming tasks.

During our session, Axel-Christian Guéi will present how these tools can improve your data science

Brian Dunphy

Brian has been a Front-End Developer, UX Designer, Product Development Director, CTO, and CEO, wearing many hats in his 16 years of experience working with and founding technology companies.

In 2006, he co-founded Radian6 and helped build the highly successful Social Media Monitoring platform from the ground up. Radian6 was acquired by Salesforce in 2011 for $326M.

In 2012, he co-founded OneLobby where he guided the creation of innovative Event Technology products. In June 2014, OneLobby was acquired by Cvent (NYSE: CVT), the leader in the Event Technology space.

Brian is also an active angel investor and mentor to startups in Canada and the U.S. He enjoys working with a bunch of great startups with smart founders who are solving unique problems.

Rise of the Technical UX Designer: Prototyping w/Framer X + React


Technical UX Designers are an emerging class of contributors in our industry. Are you a Front-End/Full Stack Developer who wants to do rapid prototyping with your company’s design system? Or perhaps you are a Designer who has programming skills and want to take your prototypes to the next level with real data and interactions? Framer X and similar tools are changing the way we prototype.

Framer X is a React-powered interactive design tool. It allows you to create responsive layouts, realistic prototypes and generally brings the process much closer to production quality. Finally, your UX and product development teams can share a common system to ensure your future product development efforts align.

Imagine Photoshop, Sketch or Adobe XD, but with React under the hood and the ability to import/create components from code or design perspectives. You can even tie your components to real data from API endpoints All of this built on a tremendous community store platform where users share their components.

In this session, Brian Dunphy will walk through importing an existing design system, creating components from design and code, importing and using 3rd party React components, and finally how to tie it all together with a live data source.

Augmenting in-home Support with Tech

ROOM 203

 If you are a starting a new project, whether it be a startup, a project inside a large company, or just taking on a small hobby, planning, tracking, and delivering your work always leads to a question around “how do we break this down, execute, and deliver?” With so many tools, books, and opinions floating around on Medium, Slack groups, and hackernoon on how to go forth and prosper, it can be overwhelming to find the balance between getting sh*t done and planning said “sh*t”.

In this session, Patrick will share his experiences over the different size of organizations, colocated and remote, he has worked at, leave you with some thoughts (and some opinions) and draw conclusions, from his perspective, on what are some great ways to do the minimal process as an engineering org that will set you up for success. Agile? Scrum, Kanban? Just GSD, let’s hash it out and figure out what works for you.

Erik Scheme

Dr. Erik Scheme is an assistant professor at the University of New Brunswick and the NB Chair in Medical Technologies.

Pat Kerry

Pat is CTO at VeroSource Solutions.

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