our keynote speakers

speaker name
Nancy Heckman

she/her

Nancy Heckman is a professor in the Statistics Department of the University of British Columbia and currently serves as the Associate Scientific Director of the Canadian Statistical Sciences Institute (CANSSI). The field of statistics has changed a lot over Nancy’s career and she is thrilled to play a role in those changes. At UBC, she served as department head from 2008-2018, during the beginning of the data science boom. In her role at CANSSI, she works hard to implement CANSSI’s vision to advance the development, application, and communication of statistical and inferential data science research and training. In addition to holding these leadership roles, Nancy has collaborated with scientists on various research projects, answering their scientific questions using techniques in Functional Data Analysis.
speaker name
Anna Posacka

she/her

Anna is a Research Manager of the Plastics Lab at Ocean Wise – a global conservation organization that inspires millions of people to take action to improve the health of our oceans. She oversees studies on ocean plastic pollution that lie at the intersection of material science, oceanography, civil engineering, sustainability, aquatic ecology, and public policy in collaboration with industry, government and citizen scientists. The mission of the Plastics Lab is to guide solutions and best practices to the pervasive and growing problem of plastic waste in our environment. She holds a PhD in Oceanography from the University of British Columbia and MSc in Applied Marine Science from Plymouth University, UK.

our panelists

speaker name
Amanda Giang

she/her

Amanda Giang is an Assistant Professor in the Institute for Resources, Environment and Sustainability and the Department of Mechanical Engineering at UBC. Her research addresses challenges at the interface of environmental modelling and policy through an interdisciplinary lens, with a focus on air pollution and toxic chemicals.
speaker name
Lara Thompson

she/her

Lara is lead data scientist on the Explain Data team at Tableau; before that she led a team doing machine learning on home energy time series data. Switching from math/physics was worth it: building models of the real world is so much more meaningful!
speaker name
Marjan Moodi

she/her

Marjan got her Master in Artificial Intelligence focusing on computer vision and deep learning applications in Iran. She immigrated to Canada two years ago and started her career as a computer vision engineer working on smart recycling applications. In her current role as computer vision engineer at Ecoation Innovative Solutions, she designs and trains models to detect and track various objects in a greenhouse environment.
speaker name
Megan McCorquodale

she/her

After a degree in Mathmatics and Statistics from Acadia University, Megan persued a Masters in Statistics from SFU. After leaving her first job as an Analyst at Deloitte, Megan worked at Mobify and Absolute Software before joining Mozilla in 2018 as a Senior Data Scientist.

our sponsors