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Ross Jacobucci

Ross Jacobucci is Assistant Professor in Quantitative Psychology at the University of Notre Dame.

Professor 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 recently published 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.

Google Scholar Citation Page

Ross's Seminars

Advanced Machine Learning with R

This course aims to provide each participant with the core knowledge needed to apply and evaluate advanced algorithms.

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Applied Deep Learning with Python

This workshop provides hands-on experience in applying deep learning algorithms to text and image data and insight into how deep learning methodologies, such as reinforcement learning, can shape the design of studies, providing guidance on their integration into research methodologies.

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