Daniel Bartolomeo is a seasoned quantitative analyst with extensive experience in machine learning, quantitative research, and academic instruction. Currently at VanEck since August 2018, Daniel utilizes advanced statistical methods to enhance financial models. Prior experience includes significant contributions at U.S. Bank, where Daniel developed behavioral models and portfolio techniques leveraging various analytical methodologies. Daniel's academic background includes a PhD and MS in Physics from the University at Albany, along with an MS in Applied Mathematics and a Bachelor's degree in Chemistry from Long Island University. Throughout an academic career spanning over a decade, Daniel has taught undergraduate courses and received multiple awards for excellence in teaching.
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