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Fall Update

At SPS this fall, all courses, other than pre-established online courses, will be offered face-to-face in our New York City classrooms. Some of these face-to-face courses will be offered in the HyFlex format to ensure that all of our students can make progress toward their degree requirements, if faced with delays due to student visas or vaccination effectiveness wait times.
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Matteo Rinaldi

Lecturer; Senior Applied Scientist, Venmo

Matteo Rinaldi is a Senior Applied Scientist at Venmo, where his responsibilities include designing and building predictive models by making use of Statistics and Machine Learning. He previously worked as a data scientist at a start-up called Viome, where he was the first member in the Data Science group. In this role, he worked on building the data pipeline to process, analyze and model different types of data, and built a number of predictive models. He graduated with a Ph.D. in Mathematics from Carnegie Mellon University, with research at the intersection of Calculus of Variations and partial differential equations with applications to fluid dynamics. During his years at CMU, Matteo worked on a project in Deep Reinforcement Learning, where the goal was to learn optimal strategies in a simulated soccer match. Before moving to the United States, he earned his bachelor's and master's degrees in Mathematics from Università degli Studi di Perugia, Italy, and spent a semester at Eberhard Karls Universität in Tübingen, Germany while working on his master's degree.

Education

  • Ph.D., Carnegie Mellon University 
  • M.S., Università degli Studi di Perugia, Italy 
  • B.S., Università degli Studi di Perugia, Italy