Summary
Yonglin Wang is a data scientist with nine years of interdisciplinary experience applying computational linguistics and NLP to real-world domains like education, finance, and healthcare. Currently at Talent Mobility Inc (Skillmore), he blends linguistics training with practical ML engineering—building classifiers, data pipelines, and analysis tools during prior roles at Fidelity and Brandeis. His academic work in computational linguistics and corpus annotation is complemented by hands-on research in spaceflight-related deep learning and human-subject studies, showing an unusual mix of language, cognitive science, and applied AI. Comfortable with production-oriented tooling and command-line workflows, he has a knack for cleaning noisy labels, designing evaluation tools, and translating research into deployable solutions. Based in Waltham, MA, he brings both teaching and supervisory experience to cross-disciplinary teams and a demonstrated interest in scaling language technologies responsibly.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Arts - BA, Linguistics, Neuroscience, Teaching ESL, Bachelor of Arts - BA, Linguistics, Neuroscience, Teaching ESL at Lawrence University
Python Programming (EL ENG X442.3), Python Programming (EL ENG X442.3) at UC Berkeley Extension
Master of Science - MS, Computational Linguistics, Master of Science - MS, Computational Linguistics at Brandeis University
English, Chinese