Tom Qiu
About Tom Qiu
Tom Qiu is an AI Research Assistant at the Gerstein Laboratory at Yale University, where he has worked since 2023. He has a background in data analysis and programming, complemented by his studies in Computer Science and Economics.
Current Role at Yale University
Tom Qiu serves as an AI Research Assistant at the Gerstein Laboratory at Yale University. He has been in this position since 2023, contributing to various research initiatives that leverage artificial intelligence in scientific exploration. His role involves applying computational techniques to analyze data and support ongoing projects within the laboratory.
Previous Experience in Data Analysis
Before his current role at Yale, Tom Qiu worked at YAI as an Analyst from 2023 to 2024. In this position, he focused on data analysis in New Haven County, Connecticut. He also gained experience as a Vice Project Manager at YAI starting in 2024, where he continued to develop his analytical skills. Additionally, he was a member of the Data Insights Team at TetraScience from 2022 to 2023, contributing to data-driven projects.
Educational Background
Tom Qiu completed his high school education at The Episcopal School of Dallas, earning a High School Diploma from 2019 to 2023. He is currently pursuing a Bachelor of Science in Computer Science and Economics at Yale University, with an expected graduation in 2027. His academic background provides a strong foundation for his work in data analysis and artificial intelligence.
Skills and Expertise
Tom possesses a robust skill set in statistical data analysis, which complements his programming expertise. He applies computational and analytical skills to address real-world problems, reflecting his commitment to leveraging technology in practical applications. His background in classical music further enriches his analytical capabilities.
Research Experience
Tom Qiu has experience as a Data Science Researcher at The University of Texas at Dallas from 2022 to 2023. During this time, he engaged in research projects that involved data science methodologies, enhancing his understanding of data analysis and its applications in various fields.