Kevin Tang
About Kevin Tang
Kevin Tang is a Research Assistant at Yale University, where he has worked since 2018. He has a background in mathematics and computer science and has contributed to research in neural network architectures and brain imaging.
Work at Yale University
Kevin Tang has been employed at Yale University since 2018, currently holding the position of Research Assistant. In this role, he has automated the research pipeline using Python and R for data analysis. Prior to this, he served as a Student Developer Team Lead from 2019 to 2020 and as a Student Developer from 2017 to 2019. His contributions during these periods have supported various research initiatives within the university.
Education and Expertise
Kevin Tang studied Mathematics and Computer Science at Yale University, earning a Bachelor of Science (BS) degree from 2017 to 2021. He also attended Case Western Reserve University concurrently with his senior year of high school, achieving a Non-Degree status from 2016 to 2017. His foundational education includes a High School Diploma from Solon High School, where he studied from 2013 to 2017.
Research Contributions
As a Research Assistant, Kevin Tang presented a poster on scene processing inside Convolutional Neural Networks (CNNs) at the Vision Science Society 2020 conference as the first author. His research involves utilizing Long Short-Term Memory (LSTM) and Recurrent Neural Network (RNN) architectures for decoding human brain fMRI images, demonstrating his focus on advanced neural network applications in cognitive science.
Internship Experience
Kevin Tang has gained practical experience through various internships. He worked as a Software Engineer Intern at Microsoft in 2020 for three months and previously as an Explore Intern in 2019 for three months. Additionally, he served as a Community Organizer Intern at Organize! Ohio in 2018 for two months, where he contributed to community engagement efforts.