Daniel Gribel is a quantitative developer at Vector Trading, LLC, specializing in predictive models for anomaly detection and trend prediction in trading strategies since July 2021. Previously, Daniel served as a researcher and teaching assistant at Pontifícia Universidade Católica do Rio de Janeiro from March 2017 to July 2021, focusing on discrete structures, combinatorics, and graphs. Daniel also participated in a doctorate exchange at CIRRELT, researching semi-supervised clustering. Earlier experience includes a software developer role at IBM Research Center, where Daniel engaged in various machine learning and data analytics projects, and a web developer position at ARGO Internet. Daniel holds a PhD and a Master's Degree in Computer Science from PUC-Rio, a Bachelor's Degree in Information Systems from UFRRJ, and a secondary education in Informatics from Fundação Nokia de Ensino.
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