About

Joseph Z. Stafura, Ph.D.

Cognitive psychologist. The numbers follow the questions. Pittsburgh, PA.

I'm a cognitive psychologist with a career built at the intersection of rigorous measurement, applied statistics, and real organizational problems. My PhD training at the University of Pittsburgh placed me in Charles Perfetti's Language and Literacy lab, where I studied how the brain builds meaning from text. That work spanned theoretical models of reading comprehension, EEG/ERP studies of word-to-text integration, and the mechanisms that separate skilled from less-skilled readers. That foundation shapes everything I do: I care about how things actually work, not just whether they appear to work.

After graduate school, I co-founded Affective Health, a digital assessment and behavior change platform that grew to serve 16,000+ users across academic and applied settings. The platform drew on Ecological Momentary Assessment methodology, capturing experience closer to when it happens rather than relying on recall. That work produced measurable outcomes: 15-16% improvements in key performance constructs, across more than 20 client engagements totaling over $1M in projects.

I currently manage research administration for the Learning Research and Development Center at the University of Pittsburgh: a $50M+ portfolio of grants from NIH, NSF, IES, DOD, and major private foundations. The work demands the same thing the rest of my career has: translating complex, multi-stakeholder data into decisions that hold up under scrutiny.

JAB Lab is my independent research operation. Projects outside the day job: D3 visualizations, AI hallucitation studies, violence research dashboards, and whatever I'm currently absorbed in.

Education

Ph.D., Psychology

Cognitive Neuroscience Concentration · University of Pittsburgh

Dissertation on cognitive processes during reading, completed in Charles Perfetti's Language and Literacy lab. Research at the intersection of language comprehension, memory, and word learning, using EEG/ERP and behavioral methods. Core contributions: situation model-based integration in coherent discourse, memory and prediction at sentence boundaries (Stafura & Perfetti, 2014; Stafura, Rickles & Perfetti, 2015), and biphasic interference in word learning (Fang, Perfetti & Stafura, 2017). Co-authored the most-cited paper in reading comprehension theory, 2011-2020 (Perfetti & Stafura, 2014). 7 peer-reviewed empirical papers; 2,000+ citations.

B.A., Psychology & English Literature

Summa Cum Laude, 4.0 GPA · SUNY Purchase College

Experience

Senior Grants Manager

Learning Research and Development Center · University of Pittsburgh

Managing ~60 active grants totaling $50M+ in external funding across 20+ PIs. Pre-award processing for ~80 federal and non-federal proposals per year (NIH, NSF, IES, DOD, Gates, Spencer). Analytics and decision support for budget development, compliance risk, and resource allocation.

Instructor, College of General Studies

University of Pittsburgh

Cognitive Psychology, Cognitive Psychology Lab, Research Methods.

Co-Founder & Chief Cognitive Scientist

Affective Health / The Affective Computing Company · Pittsburgh, PA

Co-designed and product-managed a cloud-based digital experience platform. Led analytics for 16,000+ users across 20+ client engagements. Applied EMA methodology to organizational performance measurement. Grew company from zero to ~$1M ARR.

Technical Skills

Statistics & Methods

GLM tradition · Experimental design · Factor analysis · Regression · A/B testing · EMA methodology · Behavioral & electrophysiological methods

Programming & Data

Python (pandas, numpy, scipy, scikit-learn) · R · SAS · SPSS · SQL · MATLAB · Git

Visualization & Tools

D3.js · matplotlib · seaborn · Jupyter · Excel (advanced) · Power BI · SharePoint

Selected Publications

Perfetti & Stafura

Most-cited paper in reading comprehension theory, 2011-2020. Multiple articles and chapters with 50+ citations; 2,000+ total citations.

Full publication list ↗