Dr. Phillip Wolff

Dr. Wolff is a Professor of Psychology at Emory University, where he contributes to the Cognitive and Computational Science and Clinical Science concentrations. He also serves as core faculty in the Program in Linguistics and is associated with the Department of Computer Science. Dr. Wolff is recognized for his expertise across several research domains.

1. 1.Language Semantics – Exploring the structure and meaning of language.
2. 2.Machine Learning and Natural Language Processing (NLP) – Utilizing algorithms to interpret and generate human language.
3. 3.Digital Phenotyping of Mental Illness – Specializing in conditions such as psychosis.
4. 4.Digital Phenotyping of Neurodegenerative Diseases – Focusing on diseases like Alzheimer's and Primary Progressive Aphasia (PPA).
5. 5.Causal Reasoning and Future Thinking – Investigating how people predict and reason about future events.

Dr. Wolff's research endeavors concentrate on mining natural language data to identify biomarkers for psychosis, neurodegenerative diseases, and fundamental cognitive processes. His innovative, cross-disciplinary methodology integrates Psychology, Computer Science, and Linguistics, leading to his presentation at over ten international conferences in the past six years.

In addition to his role as the Director of the Program in Cognition and Development, Dr. Wolff has served as the Interim Chair of Linguistics at Emory University and as faculty at the 2007 Summer Institute of Linguistics. He teaches Statistics in the Psychology Department, emphasizing computational statistics and the application of machine learning and AI in biomedical and psychological research.

Dr. Wolff has also been an Associate Editor for the journal Cognitive Science and a member of four editorial boards. As a site Principal Investigator for the Accelerated Medicines Partnership in Schizophrenia (AMP SCZ), he oversees an international project with over 42 participating sites worldwide, leading efforts in the collection and NLP analysis of language biomarkers.