Projects & Publications
Feel free to check out my Google Scholar or ORCID profiles to view all of my peer-reviewed research contributions.
My CV can also be accessed here.
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, 39(8):875-879, 2025. DOI
➤ 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)
PhysioKit: Open-Source HRV & BRS Analysis Platform
➤ Comprehensive Python-based toolkit for cardiovascular signal analysis, featuring advanced peak detection algorithms for precise calculation of time- and frequency-domain HRV metrics from raw ECG signals and baroreflex sensitivity analysis from synchronized ECG and blood pressure data.
➤ Multi-format support for ACQ (AcqKnowledge) and EDF/BDF (European Data Format) physiological data files with intelligent channel detection and automatic signal scaling.
➤ Live deployment: Fully functional web application available for immediate use by the research community.
➤ Rigorous algorithm validation study currently underway for peer-reviewed publication.
➤ Try it live: PhysioKit Web App | Source code: GitHub Repository
Science Communication: Healthspan
➤Synthesizing peer-reviewed scientific evidence for key physiological concepts in wellness, aging, and exercise science for a wellness-savvy audience.
➤ Article: Understanding HRV as a Real-Time Marker of Neural Responsiveness. How Does Oxytocin Change the Signal?
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