“百聆”是一个基于LLaMA的语言对齐增强的英语/中文大语言模型，具有优越的英语/中文能力，在多语言和通用任务等多项测试中取得ChatGPT 90%的性能。BayLing is an English/Chinese LLM equipped with advanced language alignment, showing superior capability in English/Chinese generation, instruction following and multi-turn interaction.

Analyze and predict daily productivity using SQL, machine learning, and psychology. This project combines behavioral data, circadian rhythm analysis, and ElasticNet regression to model focus, stress, and performance, transforming work patterns into actionable insights.

Predictive human performance modeling for UI/UX design

Probabilistic Percepptual Model for Predicting Saccade Latency

Ball tracking, biomech, and machine learning algorithms for optimizing pitcher health and performance.

Scripting and anonymized datasets created through soft sensors research done by Athlete Engineering.

Balsamiq Wireframes to CogTool conversion.

Computational process model of postcompletion error for working memory (e.g. Byrne & Bovair, 1997) and interruption (e.g. Ratwani & Trafton, 2011) paradigms.

Stochastic typing model for ICCM 2015 (International Conference on Cognitive Modeling)

A process model of systematic procedural error in a continuous task, Altmann & Trafton's UNRAVEL task. Based on Tamborello & Trafton's (2013a & b) model of postcompletion, anticipation, and perseveration error in a routine procedural non-continuous task. Developed with ACT-R6 (r1227), boost-chunks module 10, spacing-effect module 2, & new-thread…

Code for the knapsack difficulty project