Projects & Publications
Feel free to check out my Google Scholar or ORCID profiles to view all of my peer-reviewed research contributions.
Selected Publications
Relative Rest Index Influences Team Performance and Game Outcomes in Recent NBA Competition
Journal of Strength and Conditioning Research, In Review, 2025
➤ Employed a multilevel modeling approach to assess game-to-game influence of RRI on team performance during the 2022–23 through 2023–24 NBA regular seasons.
The Relationship Between Relative Rest Index and Team Performance Across Competitive NFL Seasons
Journal of Strength and Conditioning Research, In Press, 2025
➤ Assessed the influence of RRI on win percentage during all NFL seasons dating back to 1970.
Relative Rest Index Correlates to Winning Percentage in 2022 National Football League Season: A Preliminary Study
International Journal of Strength and Conditioning, 5(1), 2025. DOI
➤ Developed a novel metric (RRI) to quantify rest mismatches and asess their influence on win percentage in recent NFL competition.
Hemodynamic and Autonomic Modulation in Response to Additive Sympathetic Stressors in Young, Healthy Individuals
International Journal of Exercise Science, In Review, 2025.
➤ Assessed autonomic reactivity in response to physiological stress and resistance exercise in a healthy, resistance-trained population.
Applied Work
Sports Performance Modeling
➤Exploring use of game footage and player-level data to predict player and team fatigue with machine learning classifiers (Python, R)
Open-Source HRV Program
➤ Development of a peak detection Python algorithm to precisely calculate time- and frequency-domain HRV from raw ECG signals as well as baroreflex sensitivity from comparison of RRI time series and corresponding time series of PPG-derived blood pressure waves.
➤ Future goals: Full release as a valid signal processing research tool (Validation study currently in progress).
➤ Check out the project on GitHub!
Science Communication: Healthspan
➤Synthesizing peer-reviewed scientific evidence for key physiological concepts in wellness, aging, and exercise science for a wellness-savvy audience.
➤ Article: Tracking Stress and Recovery with HRV: What You Need to Know — Link coming soon!
Tools & Languages
➤Python (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, SciPy, Matplotlib)
➤R (lme4, nlme, lmerTest, dplyr, tidyr, car, simSlope, emmeans, ggplot2, ggpubr, interactions)
➤Git, Conda, Jupyter, Power BI, SPSS, Excel (including VBA), Markdown, Jekyll, GitHub Pages