SnoFox Sciences
Jonathan Abbott is a Principal Machine Learning Engineer at SnoFox Sciences, where he focuses on utilizing AI and analytics to address climate change and reduce costs in the cold chain industry. Prior to his current role, he worked at Milwaukee Tool as a Machine Learning Engineer II, where he developed edge AI models for power tools and launched innovative products like an impact driver with AI technology. With a background in mechanical engineering and a Master's degree from MIT, Jonathan has a strong track record of creating AI-powered tools, predictive maintenance algorithms, and time-series power tool models. His experience also includes research on Indian beehives, webmaster responsibilities, and internships in mechanical engineering. Jonathan is known for his expertise in AI, machine learning, and product innovation.
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SnoFox Sciences
SnoFox Sciences provides analytics focused on increasing efficiency and decreasing energy usage for the cold industrial space with no additional hardware required. Here at SnoFox, one of our core pillars is a commitment to marrying scientific pursuit and commercial value. It is with that commitment in mind that we set out to provide the first and only thermodynamically-informed data analytics platform for cold chain monitoring and preventative maintenance. At the intersection of thermodynamics, data science, and mechanical engineering, SnoFox Sciences plans to revolutionize our collective understanding of the global cold chain.