Zachary Yahn studies Computer Science (Negotiated Learning) at University College Dublin. He graduate from the University of Virginia with degrees in Computer Science and Computer Engineering. Zach was the recipient of the esteemed Jefferson Scholarship, a nationally competitive merit-based scholarship. His interest is in artificial intelligence and commercializing the technology in an equitable and safe manner to address society’s challenges. At NASA Goddard Space Flight Center, Zach worked to create an algorithm that could accurately identify clouds in archived images of one of Saturn’s moons (Titan) from NASA’s Cassini mission, and will soon publish his results in multiple peer-reviewed journals. Zach took first place in a national iDISPLA Adversarial AI/ML Competition, with an idea for preventing deepfake-based misinformation with blockchain technology. He wrote, designed, and delivered an undergraduate course, on the history of game-playing AI and its implications for the future. Chosen as a NSF REU Fellow in the Humans and Autonomy Lab at Duke University, Zach developed a classification and regression tree for predicting injuries in U.S. Navy aircraft carriers, and researched safety and self-driving cars. With the UVA ShiftLab, he explored applications of sparse compute-efficient multi-SLAM algorithms to swarms of palm-sized quadcopter drones. He was also Captain of the Club Water Polo team, and President of UVA’s chapter of the IEEE-HKN electrical and computer engineering honor society. As a member of Forge, Zach assisted local non-profits with data science projects as part of the impact team.