Dakota Murray is a computational social scientist and data scientist focused on the science of science and networked systems. With a PhD in Informatics from Indiana University Bloomington and roughly a decade of experience, he currently serves as an Assistant Professor at the University at Albany, bringing a strong track record in modeling scientific processes with neural representations and graph embeddings. His work spans bias in peer review, evaluating student-teacher assessments for parity, and analyzing large-scale scholarly text to map the global research ecosystem. He has held roles in academia and industry, including a Data Scientist role at Digital Science and research positions at Northeastern University’s Network Science Institute, reflecting a blend of theory and applied data science. He is based in Bloomington, Indiana, and has a history of leading interdisciplinary projects, such as the Science Genome Project and scholarly communications research groups, with a hands-on background in Python/Django and data-driven software development. An active collaborator across computational social science, informatics, and scientometrics, he brings a curiosity about how ideas and people move through science and how we can model those dynamics with scalable methods.
11 years of coding experience
12 years of employment as a software developer
BS, Computer Science, 3.99, BS, Computer Science, 3.99 at Appalachian State University
Doctor of Philosophy (PhD), Informatics, Doctor of Philosophy (PhD), Informatics at Indiana University Bloomington
Contributions:16 PRs, 41 pushes, 10 branches in 2 years
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