Industry Panel: "A Winning Combination: Career Paths that Blend Computer Science with Other Fields"

Date
Location

DMP 110

As part of our Imagine Day activities, join us at 2:30pm on September 3rd for a for a special panel on:  "A Winning Combination: Career Paths that Blend Computer Science with Other Fields".  This event will take place at 2:30pm in DMP 110.  You will learn about careers paths that combine CS with other arts and science disciplines.  Industry experts will share their experiences and tips for success. There will also be a Q & A session. 

Panelists:

Matthew Walsh, Software Development Engineer, Microsoft

Zsuzsanna Hollander, Biomarker Program Manager, PROOF Centre of Excellence

Justin Wong, Founder and CTO, Battlefy

Neil de Haan, Coordinator, Provincial Pharmacy Information Systems, BC Cancer Agency

Nicole Arksey, User Experience Research & Interaction Designer, INETCO

Raymond Ng, Professor, Department of Computer Science

BIOS:

Matthew Walsh:

Matthew Walsh graduated from the UBC Bachelor of Computer Science program in 2009 and has a previous degree in History from UBC.  As a student he completed co-op terms at EA, working on FIFA and Euro 2008, and Blue Castle games working on Dead Rising 2.  Since graduating he has worked for Microsoft at BigPark in Vancouver on games such as Joyride and Kinect Sports 2, and video applications including NHL, NBA and NFL.

Zsuzsanna Hollander:

Dr. Zsuzsanna Hollander is presently the Biomarker Program Manager for the PROOF Centre of Excellence. In her current position, she is managing the Genome Canada-funded chronic obstructive pulmonary disease program and co-managing heart failure related programs. Zsuzsa enjoys working towards a better patient care with the help of a diverse team of clinicians, scientists, statisticians, and computational experts. In her previous role of Data and Informatics Manager at the PROOF Centre and Data Mining Analyst for the Biomarkers in Transplantation project Zsuzsa analyzed genomic, proteomic, metabolomic, and clinical data sets as well as provided querying expertise in mining the data from the projects complex database.


Zsuzsa obtained her Bachelor of Arts degree in Economic Informatics at the Bucharest University of Economic Studies in Romania and pursued a BSc followed by a MSc degree in Computer Science at the University of British Columbia. In 2013 she obtained her PhD in Pathology and Laboratory Medicine at the University of British Columbia. As of 2010, she is also a certified Project Management Professional (PMP).

Justin Wong:

Justin graduated from the University of British Columbia with a Cognitive Systems degree. Because he's a big gamer and sports fanatic, he worked at Electronic Arts helping to create the sports video games that he loves to play himself. Now, combining his passion for gaming and web development, he's looking forward to revolutionizing the eSports competitive gaming genre as the founder and CTO of Battlefy.

Nicole Arksey:

Nicole Arksey is the Manager of the UI and Web Application Group at INETCO Systems Ltd.  INETCO builds applications for monitoring network traffic and help users identify when there are problems on their networks and what those problems are.  Nicole is responsible for completing all design work and usability testing on the user interface and ensures the application is useful and bug free.  Nicole completed her degree in Cognitive Systems at UBC and then completed her Masters at UBC with the HCI Specialization.  Nicole particularly likes creating new visualizations for users to understand the big data that is running through INETCO applications.

Raymond Ng:

Raymond is a professor in Computer Science at UBC and his research areas are data mining, health informatics and databases.  For the past ten years he has been focusing his work on text data and genomics data.  On the text data side, he works with Professor Giuseppe Carenini on conversations in emails, blogs and meetings to create meta data, such as natural language summaries, to facilatate access to the otherwise unstructured raw data.