Graduate student researching computational cognitive science @ UIUC! Currently migrating most projects to here and adding descriptions below, but most repos have READMEs explaining each project :).
- "Big data" approaches to understanding human and machine learning and behavior
- Computational and quantitative models of semantic and reasoning development
- Fair and comparable behavioral evaluations of human and machine systems
- Accessible and inclusive user experiences for technical systems
- ARChild: Redefining and testing benchmarks for human vs. machine performance on the Abstraction and Reasoning Corpus (Chollet, 2019)
- DST-Needs: Longitudinal mixed-methods analysis of disabled UIUC students’ needs based on 10+ years of r/UIUC posts
- Simsum: Logistic mixed-effects and growth network modeling of toddlers’ word-learning outcomes using NLP-derived linguistic features from naturalistic speech
- Hands: Analyzing and visualizing infant eye-tracking data using t-tests and linear mixed models to determine how bilingual vs. monolingual babies learn word scope (note: due to the sensitive nature of the data, some data for this codebase is only available upon request).
- Travel_DB: Designing and implementing conceptual (EER), relational (SQL), and graph-based (Neo4j) models as databases for employee travel reimbursement - for my information modeling course
- tSFP_II: Building MDP models to determine winning decisions in the Sims Freeplay's "Influence Island" minigame
- BiMorph
- SE-WordNet
- SHOP
- NN-Hierarchy
- AND/OR
- IDSnvP
- CUADv2
- Drunk-Disfluency