Gabriel Mancino-Ball

Gabriel Mancino-Ball, PhD, is currently a Senior Machine Learning Researcher at STR, with prior experience as a Data Scientist at Evonik, where significant advancements were made in financial projections through a cash flow forecasting pipeline. Gabriel's academic journey includes a PhD in Computational and Applied Mathematics from Rensselaer Polytechnic Institute, alongside extensive research and teaching assistant roles. Notable internships at organizations such as MITRE and IBM emphasized the development of optimization algorithms and graph neural networks, while previous positions at 3M involved creating predictive neural networks. Gabriel also provided tutoring in mathematics and statistics and began a professional career at Wells Fargo as a bank teller, highlighting a strong foundation in both technical and customer service skills.