🏃 An R package for advanced sports performance analysis and training load monitoring using Strava data.

AI Characterization of Exercise Airflow Limitation

A Shiny app for estimating and tracking a practical power-duration profile from five field tests.

Transformer-based deep learning framework for lactate curve modeling and lactate threshold prediction using physiological exercise data.

Data and analyses code for the manuscript "Revisiting cardiac output estimated noninvasively from oxygen uptake during exercise: An exploratory hypothesis generating replication study"

Curated research on competitive swimming: stroke biomechanics, drag reduction, critical swim speed, taper science, dryland training, and open-water performance.

Evidence-based physiology and training science for masters athletes (40+): VO2 max decline, sarcopenia prevention, hormonal changes, recovery, and competitive performance optimization.

Code and synthetic data for "Physics-Informed Neural Networks for Parameter Estimation in a Two-Compartment Bioenergetic Model of Critical Power"

Analysis pipeline for the Maximal Returns Protocol: a 12-week, 1-hour/week concurrent training intervention (n=9, PRE/MID/POST). Mixed-effects models, Hedges' g effect sizes, sex-adjusted + ANCOVA sensitivity analyses.

Peer-reviewed resources on altitude training for athletes: LHTL protocols, erythropoiesis, hemoglobin mass, altitude tents, and return-to-sea-level timing.

提供有氧運動訓練規劃，推算出一個不會累積疲勞的估計速度

R package for cardiopulmonary exercise testing (CPET) analysis — S7 classes, Shiny app, bilingual Typst PDF reports

Evidence-based sleep science and recovery physiology for athletes: HRV, sleep extension, circadian rhythm, jet lag, and napping protocols. Peer-reviewed DOI citations.