Jacob Lasky loves to learn, understands how to rapidly synthesize complex information and excels at creating novel solutions to difficult problems. During Jacob's undergraduate degree in biochemistry, he spent three years as a Research Assistant. The lab's focus was on plant-circadian rhythms. Jacob created a robust analysis tool that uses reporter input to create a prioritized list of genes for scientists to study further. It was through his work on this project that Jacob discovered analytics and ultimately found his greatest interest and career path.
While working on his graduate degree in analytics, Jacob worked on a few different projects to hone his skills in data science. These projects included using environmental variables to predict dengue fever cases, predicting when a player on Canada's women's national rugby team will fatigue or become injured, and using machine learning for a rehabilitation center to predict if and when an individual will relapse. After graduation, Jacob began working at EarthOptics where he focuses on turning real-time sensor data into actionable solutions for producers.