(I am actively looking for a research data scientist position!)
My name is Sungjin Nam.
I am proficient in applied machine learning and natural language processing techniques. I have expertise in understanding and supporting human cognition by analyzing behavioral and linguistic signals.
In 2020, I completed my doctorate degree at the School of Information, University of Michigan. My advisor was Prof. Kevyn Collins-Thompson. After graduation, I am working as a Data Scientist at Pearson, developing new AI/ML features for Aida Calculus.
Before my Ph.D., I received a BA degree in Psychology and Information Science & Culture from Seoul National University, and an MS degree in Information (Spcialized in Information Analysis & Retrieval and Human-Computer Interaction) from the University of Michigan. With a background in psychology and data science, I am interested in understanding and supporting users by applying machine learning to linguistic or behavioral signals.
During my personal time, I enjoy working on sound design and music production.