Vittorio Orlandi
About Vittorio Orlandi
Vittorio Orlandi is a Quant Research Intern at Squarepoint Capital in New York, specializing in machine learning methods and uncertainty quantification. He holds a Bachelor's degree in Statistics from Yale University and is pursuing a PhD in Statistics at Duke University.
Work at Squarepoint Capital
Vittorio Orlandi has been employed as a Quant Research Intern at Squarepoint Capital since 2022. His role involves applying quantitative research methods to financial data, contributing to the firm's investment strategies. Squarepoint Capital is known for leveraging advanced quantitative techniques to drive trading and investment decisions.
Education and Expertise
Vittorio Orlandi holds a Bachelor's Degree in Statistics from Yale University, where he studied from 2014 to 2018. He furthered his education at Duke University, earning a Doctor of Philosophy (PhD) in Statistics from 2018 to 2023. His academic focus includes methods that provide interpretability and uncertainty quantification, alongside predictive accuracy.
Background
Before joining Squarepoint Capital, Vittorio Orlandi worked as an AI Research Scientist at Dataminr for a brief period in 2021. His experience includes developing scalable implementations of machine learning methods that are applicable to real-world data. He is currently a PhD student at Duke University, where he has been engaged in research for six years.
Research Focus
Vittorio Orlandi specializes in creating methods that manage the complexities of real data without relying on naive assumptions. His research emphasizes the importance of interpretability and uncertainty quantification in statistical modeling, which are crucial for making informed decisions based on data.