Andrew Sheinberg

Research Assistant @ Yale University

About Andrew Sheinberg

Andrew Sheinberg is a Research Assistant at Yale University, focusing on GPU architecture and virtual memory in Professor Abhishek Bhattacharjee’s lab since 2022. He previously worked as a Quantitative Trader at IMC Trading and as a Trading Intern at Citadel Securities.

Work at Yale University

Andrew Sheinberg has been employed as a Research Assistant at Yale University since 2022. In this role, he conducts research focused on GPU architecture and virtual memory in Professor Abhishek Bhattacharjee’s lab. Additionally, he volunteers in a research lab at Yale, contributing to various projects and initiatives. Prior to his current position, he served as an Undergraduate Learning Assistant from 2019 to 2020, where he supported students in their academic pursuits.

Education and Expertise

Andrew Sheinberg earned a Bachelor of Science degree in Computer Science and Mathematics from Yale University, completing his studies from 2017 to 2021. His educational background provides a strong foundation for his research work, particularly in areas related to computer architecture and algorithms. His expertise is further enhanced by his practical experience in trading and quantitative analysis.

Background

Andrew Sheinberg attended Barrington High School from 2013 to 2017, where he completed his secondary education. Following high school, he pursued higher education at Yale University, culminating in a degree in Computer Science and Mathematics. His academic journey has been complemented by various professional experiences in trading and research.

Professional Experience in Trading

Before his current role at Yale University, Andrew Sheinberg worked in the trading sector. He served as a Quantitative Trader at IMC Trading from 2021 to 2022 for seven months, where he applied quantitative methods to trading strategies. Additionally, he gained experience as a Trading Intern at Citadel Securities in 2020 for two months, where he was involved in trading operations and analysis.

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