My research centers on understanding health and resilience as emergent properties of complex physiological systems. I’m especially interested in:
Physiological Complexity: How patterns in time series data (e.g., heart rate, respiration, blood pressure, temperature, galvanic skin response, activity, sleep) reflect the adaptability and stability of the human body.
Intrinsic Health: Investigating health as a systems-level state, rather than as the absence of specific diseases.
Quantitative Methods: Applying tools from complexity science (e.g., entropy, fractality, transfer entropy), statistical modeling, time series representation learning, and deep learning to characterize health dynamics.
Self-Rated Health: Exploring interesting patterns in the deceptively simple yet powerful survey question: In general, would you say your health is… [Excellent/Very Good/Good/Fair/Poor].
Environmental Stressors: Examining how exposures like heat waves and humidity influence physiological resilience and population health.
Multiscale Integration: Bridging wearable sensor data, clinical Holter monitors, and population health surveys to compare health signals across scales.