H. Andrew Schwartz

Associate Professor, College of Connected Computing,
Vanderbilt University
transitioning from:
Associate Professor, Computer Science, Psychology(Affiliate)
Stony Brook University

Director, HLAB: Human Language Analysis Beings, Vanderbilt University
Principal Investigator, World Well-Being Project, (UPenn, SBU, and Stanford)
Program Chair, Data Science and Engineering Specialization, Stony Brook University

in H-Andrew-Schwartz   

Human Language Analysis
Natural Language Processing

Mental Health and Well-Being
Artificial Intelligence

Computational Psychology
Applied Machine Learning

Computational Linguistics
Data Science
News and Travel
Teaching

Courses

Mentorship
The HLAB: Human Language Analysis Beings
 Vasudha Varadarajan, PhD Student: NLP and Transformers for Dissonance and Cognitive Styles
 Adithya Ganesan, PhD Student: Transformer Large Language Models: Tuning, Temporal NLP
 Nikita Soni, PhD Student (co-advised with Niranjan Balasubramanian): Human-Language Modeling
 Siddharth Mangalik, PhD Student: Robust Spatial-Temporal Well-Being Assessment
 Swanie Juhng, PhD Student: Language-based Anxiety Assessment
 Syeda Mahwish, Research Coordinator (Public Health/Psych): Resilience
 Oscar Kjell, Postdoctoral Fellow: Language-based Assessments of Well-Being and Mental Health
 Ryan Boyd, Research Associate Professor: Psychology of Language

PhD and Postdoc Alumni (Graduated Lab Members):
 Huy Vu, PhD - Summer 2023
 Matthew Matero, PhD - Spring 2023
 Mohammadzaman Zamani, PhD - Fall 2020 (Now with EBay AI)
 Youngseo Son, PhD - Fall 2020 (Now with Facebook, Palo Alto)
 Veronica Lynn, PhD - Fall 2019 (co-advised with N Balasubramanian; now with Facebook Research, Seattle)
 Vivek Kulkarni, PhD - Spring 2017 (co-advised with S Skiena; Now Postdoc at Stanford with Dan Jurafsky)
 Masoud Rouhizadeh, Previous Postdoc (Now Postdoc at JHU)

Data, Demos, and Code

Age and Gender

Personality
To be posted

Temporal Orientation

Code: Differential Language Analysis
Feature Worker (an open-vocabulary language analysis infrastructure, primarily in Python)

Code: Social Media Tokenizer
Happier Fun Tokenizer (An improved version of Christopher Pott's Happy Fun Tokenizing, shared with his permission.)