Darren Lin
About Darren Lin
Darren Lin is a Statistics and Data Science undergraduate learning assistant at Yale University, where he has worked since 2020. He balances his academic pursuits with participation as an NCAA Division 1 golfer and has previous experience as a research assistant and business analytics intern.
Work at Yale University
Darren Lin currently serves as a Statistics & Data Science Undergraduate Learning Assistant at Yale University, a position he has held since 2020. In this role, he assists in teaching introductory statistics courses, specifically S&DS 100 and S&DS 105, with a focus on statistics in medicine. Prior to this, he worked as an Undergraduate Research Assistant at Yale University for three months in 2019. His ongoing involvement in the academic community at Yale reflects his commitment to education and statistics.
Education and Expertise
Darren Lin is pursuing a Bachelor of Science degree in Statistics and Data Science at Yale University, where he has been enrolled from 2018 to 2022. His academic focus includes statistical methodologies and their applications, particularly in the field of medicine. He balances his studies with participation in collegiate sports, specifically as an NCAA Division 1 golfer, demonstrating his ability to manage both academic and athletic commitments.
Background
Darren Lin completed his high school education at Chino Hills High School, where he studied from 2012 to 2018. His early academic experiences laid the foundation for his pursuit of higher education in statistics and data science at Yale University. His background in sports and academics has contributed to his development as a well-rounded individual.
Internship Experience
In 2021, Darren Lin worked as a Business Analytics Intern at Milwaukee Bucks Inc. for seven months. This internship provided him with practical experience in business analytics, allowing him to apply his statistical knowledge in a professional sports environment. His role involved analyzing data to support decision-making processes within the organization.