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
Validation of ChronOS: A Free, Open-Source Python Tool for Physiological Peak Detection and Heart Rate Variability Analysis
Computer Methods and Programs in Biomedicine, In Review, 2025.
➤ Validation of our comprehensive pipeline for ECG peak detection and measurement of time domain, frequency domain, and non-linear HRV.
Hemodynamic and Autonomic Modulation in Response to Additive Sympathetic Stressors in Young, Healthy Individuals
International Journal of Exercise Science, 18(6), 1047-1060, 2025. DOI
➤ Assessed autonomic reactivity in response to physiological stress and resistance exercise in a healthy, resistance-trained population.
Real-Time Nitric Oxide Bioactivity Response to a Bout of High-vs Low-Load Resistance Exercise
Journal of Fitness, Wellness, and Human Performance, 2025. DOI
➤ Investigated dynamic responses in nitric oxide and muscle oxygen saturation dynamics surrounding resistance exercise.
Relative Rest Index Influences Team Performance and Game Outcomes in Recent NBA Competition
Journal of Strength and Conditioning Research, In Press, 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.
Applied Work
ChronOS: 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), EDF (European Data Format), and CSV physiological data files with intelligent channel detection, automatic signal scaling, and a robust gui that guides individuals to ideal signal processing and peak detection.
➤ Live deployment: Fully functional web application available for immediate use by the research community.
➤ Rigorous algorithm validation study currently in review.
➤ Try it live: ChronOS 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?
➤ Article: Synergistic Effects of Rapamycin and Exercise for Maximizing Muscular Strength
Tools & Languages
➤Python (NumPy, Pandas, scikit-learn, PyTorch, TensorFlow, SciPy, Matplotlib, Plotly, Streamlit)
➤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