Juneun Jay Park is a graduate student at the University of Illinois, Urbana-Champaign. Broadly, his research focuses on prevention and intervention in health issues from a socio-contextual perspective. He is particularly interested in employing machine learning and ambulatory assessment to contribute to applied and conceptual disciplines in Psychology. As of 2024, Jay is conducting how alcohol influences speech prosody and natural language in social drinking contexts by utilizing machine learning.
M.S. in Psychological Science (GPA 4.0/4.0), 2025 (Expected)
University of Illinois, Urbana-Champaign
B.S. in Psychology (GPA 4.0/4.0), 2019
University of Utah
Machine Learning
Statistical Analyses
Voice Analytics
Surveys
Mixed-Methods
Text Processing
The primary goal of the present study is to examine how alcohol consumption affects vocal traits, such as volume, pitch, jitter, shimmer, and socio-emotional rewards. The secondary objective is to detect intoxication from soberness based on the aforementioned acoustic features. We seek to bridge the knowledge gap in this research area and advance our comprehension of how alcohol influences speech features, possibly indicating alcohol’s rewarding effects and inebriation from a socio-contextual perspective.
Word frequency and TF-IDF (Importance) revealed that school violence was the key suicidal factor in adolescents. The surrounding causes were parents, smartphone addiction, school policies, etc., indicating indirect influences.
Jay is responsive to emails! Don’t hesitate to directly reach out via university email below 🙂