Jacobucci’s main line of interest is in integrating methods from both machine learning and latent variable modeling. Additionally, he researches the use of machine learning for clinical psychology research, specifically suicide and non-suicidal self-injury.
Jacobucci is currently working on a book titled Machine Learning for Social and Behavioral Research with Dr. Kevin Grimm and Dr. Zhiyong Zhang. He is the author of 42 peer-reviewed publications, a majority of which either develop or apply machine learning methods.
He was named an Association for Psychological Science Rising Star in 2021 and won the 2019 Anastasi Dissertation Award from the American Psychological Association.
You can visit his university webpage here.
You can visit his personal webpage here.
Advanced Machine Learning
Machine learning–including artificial intelligence, big data, supervised learning, and data science–has had an enormous impact in both academic research and industry. Development of innovative machine learning algorithms has been paired with the availability of large datasets and has facilitated the...View Details