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

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

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

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

AI Characterization of Exercise Airflow Limitation

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

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

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.