Krishn Bera is a PhD candidate and Graduate Research Assistant at Brown University with a decade of experience at the intersection of cognitive science, computational neuroscience, and machine learning. His work spans likelihood-free Bayesian inference and neural computation, developed during a visiting fellowship in Michael Frank’s lab and ongoing doctoral research. He has a strong teaching pedigree, having supported courses in computational cognitive neuroscience and decision-making at Brown and earlier neural modeling classes at IIIT. Krishn blends rigorous academic training with practical software experience dating back to a full-stack internship where he built a Django-based backend for a 360° imaging platform, reflecting an uncommon mix of experimental methods and production coding. Based in Providence, he leverages cross-disciplinary fluency to translate complex cognitive models into reproducible computational tools.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Cognitive Science, Doctor of Philosophy - PhD, Cognitive Science at Brown University
Indian School Certificate (ISC), Indian School Certificate (ISC) at S.N.Kansagra School
Master of Science (M.S. by research), Computing and Human Sciences, Master of Science (M.S. by research), Computing and Human Sciences at International Institute of Information Technology
Python Package which collects simulators for Sequential Sampling Models
Contributions:3 pushes, 1 branch in 1 month
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