Cam Linke

Cam is a graduate student in Reinforcement Learning and Artificial Intelligence at the University of Alberta. In the past he has worked as a software entrepreneur, devloper, product manager and community builder. His recent work has been to grow Edmonton's emerging creative and tech economy by connecting entrepreneurs, investors, developers and creative minds through Startup Edmonton, an organization he co-founded in 2009. In addition, Cam formed DemoCamp Edmonton in 2008 as a forum to bring the Edmonton tech community together, which he continues to lead along with his work at Startup Edmonton and Flightpath Ventures, an angel-stage fund investing in software startups. Previously he was the Product Manager at and and lead Touch Metric, a maker of in-person survey software. In recognition of his work in Edmonton's tech and startup community, he was named one of Avenue Magazine's 2011 Top 40 Under 40.


Startup Edmonton - In 2009 I founded Startup Edmonton with Ken Bautista to help build the startup community in Edmonton. What started as a side project for us has grown into a full fledged non-profit with 14,000 sq/ft of space in downtown Edmonton, hundreds of events, meetups, hackathons, and an incredible growing community and thriving startup ecosystem.

Flightpath Ventures - Flightpath Ventures is an early angel stage fund based in Edmonton. We invest in software/internet companies and work to help them grow from initial prototype to traction and funding.

Amii - Board member of the Alberta Machine Intelligence Institute (Amii). In the summer of 2018 I stepped in as the executive director during the spinout and CEO search.


  • Linke C., Ady N. M., White M., Degris T., White A. (2019). Adapting Behaviour via Intrinsic Reward: A Survey and Empirical Study. ArXiv:1906.07865
  • Jacobsen A., Schlegel M., Linke C., Degris T., White, A., White M. (2019). Meta-descent for online, continual prediction. AAAI Conference on Artificial Intelligence.
  • Linke C., Ady N. M., Degris T., White M., White A. (2019). Investigating Curiosity for Multi-Prediction Learning. Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM).
  • Yasui N., Lim S., Linke C., White A., White M. (2019). An Empirical and Conceptual Categorization of Value-based Exploration Methods. Exploration in Reinforcement Learning Workshop at the 36th International Conference on Machine Learning.