
About
Nate Derbinsky is a Teaching Professor at Northeastern University's Computer Science department. He specializes in Computer Science Education and Artificial Intelligence, with a focus on cognitive systems and educational technology. His work bridges theory and practice, emphasizing inclusive teaching methods and real-world applications of AI. Derbinsky has contributed to open-source projects like Soar (a cognitive architecture) and developed educational tools such as the Model AI Assignments curriculum framework.
He has volunteered with organizations like Powering Potential in Tanzania, integrating technology into education, and supported initiatives like The 84 to combat youth smoking. His research spans adaptive learning systems, AI ethics, and scalable solutions for complex problems. Recent work includes studies on teaching-track faculty promotion challenges and innovative robotics tasks like Cornhole.
Derbinsky's software projects include freedice, a web-based Liar's Dice game with bot integration, and swiftADMM, an optimization library implementing ADMM algorithms. He actively contributes to educational outreach through documentaries like Teacher of the Year and supports STEM education initiatives worldwide.
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