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project integrates quantum and classical (Markov) approaches within an open-systems framework to investigate when decision dynamics exhibit interference, coherence, decoherence, and more classical
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, bioeconomy research, and related fields. Assist in developing conceptual and analytical frameworks that bridge scientific, humanistic, and social scientific approaches to environmental research. Participate in
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world to tackle some of the hardest problems we face, including climate change, polarization, and resolving conflict over scarce resources. The tools, methodologies, and frameworks developed and deployed to better
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computer vision tools (e.g., MediaPipe, OpenPose, homography estimation, optical flow). Experience with eye-tracking data collection or analysis. Familiarity with deep learning frameworks (PyTorch