Computational researcher working at the intersection of applied machine learning and population mental health. Assistant Professor at the University of Georgia and founder of a research intelligence platform built on the Anthropic Claude API.
- Transformer-based detection of psychological crisis from unstructured text at scale — social media, ecological momentary assessment, clinical narratives. Federally funded through NIH, DoD, and VA.
- Quasi-experimental causal inference on AI-adjacent policy shocks affecting population mental health outcomes. Methods: staggered difference-in-differences, propensity score and risk-set matching, cost-effectiveness modeling.
- Generative AI and Deaths of Despair — theoretical and empirical work on AI-driven credential depreciation as a structural population health risk. Manuscript under review at Journal of Public Health Policy.
- Research intelligence SaaS on the Claude API — production application for dynamic researcher profile construction, hallucination-resistant synthesis, and temporal knowledge graphs over peer-reviewed literature.
Python · PyTorch · Hugging Face Transformers · Claude and OpenAI APIs · BERTopic · UMAP/HDBSCAN · staggered difference-in-differences · Bayesian estimation · ecological momentary assessment pipelines
- Bauer, B.W., Norel, R., Leow, A., Rached, Z., Wen, B., & Cecchi, G. (2024). Using Large Language Models to Understand Suicidality in a Social Media-Based Taxonomy of Mental Health Disorders. JMIR Mental Health, 11, e57234.
- Bauer, B.W., & Capron, D.W. (2020). How behavioral economics and nudges could help diminish irrationality in suicide-related decisions. Perspectives on Psychological Science, 15(1), 44–61.
- Full publication list: Google Scholar
- psychopathology_nlp_toolkit — Companion code for Bauer et al., "Transformer-Based Text Embeddings for Identifying Higher-Order Constructs in Psychopathology: A Practical Tutorial." Four analysis pipelines combining transformer embeddings with dimensionality reduction, clustering, factor analysis, and explainable AI.
- 2026_NLP_Crisis — Active research pipeline analyzing daily open-ended text entries for within-person real-time suicide crisis prediction.
- Assistant Professor, Department of Psychology, University of Georgia
- Board of Scientific Affairs, American Psychological Association
- Early Career Reviewer, NIH Center for Scientific Review
- Affiliate Member, Institute of Artificial Intelligence, University of Georgia