Climative’s Director of Data Science, Tianshu Huang, has been selected to speak at the Atlantic Canadian Conference on Energy System Modelling, June 19-20, in Moncton, New Brunswick. Tian’s profound knowledge and expertise in data science and machine learning model design make her a valuable addition to this year’s theme , ‘Integrating Deep Changes into Future Energy Landscapes: Navigating Atlantic Canada’s Energy Transition.‘
Tian will participate in the panel discussion “From Modelling to Action: Translating Insights into Sustainable Policies“ on Day 2 of the conference. The session description reads: “The final panel will bridge the gap between modeling and actionable strategies. It will focus on how insights from energy models can be translated into sustainable and agile policies, ensuring effective responses to the deep changes impacting the energy sector.“ Tian joins three other speakers from NB Power, ESMIA Consultants Inc., and Atlantica Center for Energy.
Each panel speaker will discuss their work related to the session topic. Tian will showcase Climative’s Automated Carbon Model™, the engine of Climative’s data platform. The ACM is a powerful machine learning algorithm used to quickly and cost-effectively evaluate homes’ energy efficiency and carbon footprint. Read our ACM article and request a full copy of the whitepaper.
Tianshu Huang is the Director of Data Science at Climative, where she develops machine learning algorithms for virtual energy and carbon assessment and collaborates with customers and research partners to advance the use of AI in addressing climate change. Before this, she worked as a Data Scientist at the Property Valuation Services Corporation, focusing on machine learning algorithms for property mass appraisal and data extraction and manipulation. She holds a degree in economics and business from the Capital University of Economics and Business in Beijing and a master’s degree in statistics from Dalhousie University in Halifax.
The Atlantic Canadian Conference on Energy System Modelling is a unique opportunity to gain insights into how energy models can guide us through deep changes to the energy landscapes, underlining the importance of agile and informed policy-making. Day 1 of the Conference is tailored for utilities and energy modeling professionals, while Day 2 delves into the policy implications. We strongly encourage you to seize this chance to enhance your understanding and network with industry leaders. View the full program and registration details here.
Jenny is a marketing professional with successes in home sustainability, biotechnology, agriculture, and more. She loves translating technology into stories and using stories to build communities.
Climative provides a collaborative AI-assisted data platform for organizations to enable personalized advice and offers to building owners, taking the guesswork out of building upgrades and transforming the low carbon economy.
