
Soumik Farhan
Machine Learning Intern
Machine Learning Intern
Soumik Farhan is a Machine Learning Intern with the Advanced Tech team at Amii. He is currently working with the Canada Wildfire project to develop machine learning approaches to wildfire prediction, with a specific focus on developing an early warning system based on forecasting extreme fire weather. This work could provide critical information in addition to the existing decision support tools used by fire managers to help better anticipate fire risk and allocate resources.
Soumik completed his Masters of Science in biomedical engineering, working at the intersection of computational neuroscience and deep learning algorithms to investigate brain connectivity parameters. In his free time, enjoys hiking, exploring new places and listening to new music (preferably all at once).
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