Kyle Wang

Kyle Wang

Teaching Assistant @ Yale University

About Kyle Wang

Kyle Wang is a Teaching Assistant at Yale University, specializing in machine learning. He has a background in software engineering and has interned at various technology and finance companies.

Work at Yale University

Kyle Wang currently serves as a Teaching Assistant at Yale University, a position he has held since 2023. In this role, he assists in the course S&DS 265: Intro Machine Learning, contributing to the educational experience of students in the field of data science and machine learning.

Internship Experience

Kyle Wang has gained diverse internship experience in the technology sector. He worked as a Software Engineer Intern at Earable for two months in 2022 in Boulder, Colorado. In 2023, he completed internships at Susquehanna International Group, LLP (SIG) for one month in Philadelphia, Two Six Technologies for two months in Arlington, and nJoy Shopper for two months in New Haven. Additionally, he served as a Software Architect Intern at Seagate Technology for three months in Longmont, Colorado, and worked as a Full-stack Developer at Seagate Technology for two months in 2021.

Education and Expertise

Kyle Wang studied Mathematics and Computer Science at the University of Colorado Boulder from 2019 to 2021, achieving Concurrent Enrollment. He then pursued a degree in Computer Science and Statistics at Yale University from 2021 to 2025. His academic background supports his keen interest in computer science theory, systems, and data science.

Background

Kyle Wang completed his high school education at Fairview High School, where he earned a High School Diploma from 2017 to 2021. His educational journey laid the foundation for his future studies in mathematics, computer science, and statistics.

Interests in Technology and Finance

Kyle Wang has a general interest in both technology and finance. His experiences in various internships reflect his commitment to exploring the intersections of these fields, particularly in areas related to data science and software engineering.

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