My Services

Performance variability in elite tennis often originates in physiological states misaligned with competition demands. Athletes may enter matches during suppression windows, mistime taper phases, or accumulate hidden fatigue across surfaces and time zones. These drivers are not externally visible, yet emerge clearly when autonomic, endocrine, hydration, metabolic, respiratory, thermal, and RPE signals are tracked and modeled with precision.

I design individualized digital human performance systems built from longitudinal HRV, load, hormonal rhythms, sleep architecture, hydration balance, metabolic efficiency, respiratory dynamics, thermal strain, RPE, and environmental inputs. I aggregate, analyze, and translate these signals into an actionable performance intelligence layer that informs on- and off-court periodization, recovery sequencing, and readiness forecasting. Human Data Science ensures that each model evolves continuously with the athlete’s physiology.

Each engagement is physiology-specific and delivered directly by me. With two decades in high-performance environments, I combine autonomic profiling, workload diagnostics, endocrine modeling, and metabolic-respiratory analysis with the demands of professional tennis.

  • Women (W10NIS): cycle-aware planning, hormonal rhythm management, and endocrine-sensitive tapering.

  • Men (M10NIS): load–recovery calibration, strength-power-endurance balance, metabolic-respiratory efficiency mapping, and adaptation to thermal and travel stress.

This is high-performance infrastructure designed to sustain resilience and secure competitive readiness under pressure.

Core Focus

Performance variability in elite tennis is most often driven by fatigue accumulation and misaligned physiological states. My core mission is to identify these risks early and minimize their impact. Through longitudinal tracking of HRV, load reactivity, hormonal rhythms, hydration balance, metabolic efficiency, respiratory dynamics, thermal strain, RPE, and environmental stress, I detect suppression windows, recovery slope patterns, and endocrine response dynamics that forecast fatigue before it compromises performance.

Core Capabilities

  • Readiness Forecasting
    Predictive mapping of resilience windows, taper sequences, and suppression risks across the competitive calendar.

  • On-Court Periodization
    Structuring training intensity, taper phases, and surface transitions guided by internal physiological signals.

  • Off-Court Periodization
    Calibration of strength, conditioning, and recovery blocks to sustain adaptive balance across the season.

  • Fatigue and Recovery Diagnostics
    Identification of autonomic instability, latent fatigue, taper–load mismatches, and recovery slope disruptions.

  • Hydration, Thermal, Metabolic, and Respiratory Analytics
    Integration of hydration balance, thermal strain, metabolic efficiency, and respiratory dynamics to refine taper strategies, recovery calibration, and readiness forecasting.

  • Environmental and Travel Adaptation
    Simulation of travel strain, altitude exposure, climate stress, and circadian disruption.

  • Competitive Resilience Mapping
    Forecasting physiological readiness and resilience across dense tournament schedules and international travel cycles.

    • Women (W10NIS): cycle-informed taper cues to reduce volatility across consecutive events.

    • Men (M10NIS): optimization of recovery bandwidth to sustain peak performance in back-to-back competitions.

Technology and Data Modeling

I integrate selected biomonitoring technologies in a way that prioritizes clarity over complexity. Data from HRV, hormonal rhythms, sleep architecture, hydration balance, metabolic efficiency, respiratory dynamics, thermal strain, RPE, and environmental stress are processed through adaptive and AI-supported modeling architectures that evolve in real time with the athlete’s physiology. The goal is to generate actionable intelligence without creating compliance burden or data fatigue.

Decision Support and Communication

Every digital human performance system I build is designed to communicate complexity with precision. Outputs are aggregated, analyzed, and translated into an actionable performance intelligence layer that guides training load, taper calibration, travel adaptation, and match readiness. My role is to transform hidden physiological variability into clear, time-accurate intelligence that athletes and coaching teams can act on immediately, optimizing stability and sustaining resilience under the pressure of the global pro tour.

Research and Application

My methodology is continuously informed by advances in human performance science and data science, while remaining anchored in applied execution. The objective is actionable strategy: sustaining resilience, preserving readiness, and securing measurable advantage in elite competition. Each framework I design translates the latest physiological and analytical insights into practical systems that perform under the real-world demands of the professional tennis tour.

Service Model

Engagement Format

  • One-to-One Consulting: integration into the player’s support team for load management, periodization, and readiness strategy. I am available to embed directly with coaching teams, travel on tour, and operate as a mobile performance lab, ProTourLab™. All services are designed to be delivered seamlessly in the tour environment.

  • System Design: construction of athlete-specific performance models that evolve continuously with live physiology, adapting to the demands of training, competition, and travel.

  • Ongoing Monitoring: continuous signal tracking (HRV, hormonal rhythms, hydration balance, metabolic efficiency, respiratory dynamics, thermal strain, recovery metrics) with real-time recalibration to maintain clarity and precision.

Delivery Approach

  • Athlete-Centered: every recommendation is timed to the athlete’s individual physiology.

  • Coaching Integration: insights are delivered in a format that supports training blocks, travel planning, and match preparation.

  • Adaptive Across Contexts: systems are built to adapt to tour schedules, time zones, and surface transitions.

Women (W10NIS): cycle-aware planning, hormonal rhythm synchronization, and taper strategies adapted to endocrine patterns.
Men (M10NIS): load-recovery calibration, strength-power-endurance balance, metabolic-respiratory efficiency mapping, and adaptation to thermal and travel stress.