danielpimentel

Professional Introduction: Daniel Pimentel | Federated Learning Architect for Circadian Rhythm Synchronization
Date: April 6, 2025 (Sunday) | Local Time: 11:06
Lunar Calendar: 3rd Month, 9th Day, Year of the Wood Snake

Core Expertise

As a Computational Chronobiologist, I design federated learning (FL) frameworks that optimize circadian rhythm synchronization across distributed biomedical datasets while preserving privacy. My work integrates multi-modal biosignal analysis, edge computing, and differential privacy to harmonize biological clocks in shift workers, ICU patients, and long-haul travelers.

Technical Capabilities

1. Federated Circadian Modeling

• Cross-Device Gradient Flow:

  • Developed FedCirca – An FL architecture aggregating melatonin/cortisol patterns from wearables (sampling 0.5–5 Hz)

  • Achieved 88% phase prediction accuracy with ≤10% data exposure per node

• Temporal Embeddings:

  • Encoded circadian phase (0–23h) as periodic loss functions in PyTorch

2. Privacy-Preserving Synchronization

• Secure Protocols:

  • Homomorphic encryption for light exposure recommendations

  • DP-SGD with ε=0.3 for heart rate variability (HRV) feature sharing

• Edge Deployment:

  • On-device training for Apple Watch/WHOOP bands (≤100 MB memory footprint)

3. Clinical & Operational Applications

• ICU Delirium Prevention:

  • Synchronized 72% of patients' rhythms to nurse shift cycles (p<0.01 vs. controls)

• Aviation Industry:

  • Reduced jetlag severity by 1.5 points (Likert scale) in cabin crews

Impact & Collaborations

• Global Health:

  • Partnered with 23 hospitals to deploy FedCirca without transferring raw EEG data

• Regulatory Leadership:

  • Co-authored IEEE P2933.1 standard for biomedical FL

• Open Science:

  • Released CircaFed toolkit (5K+ GitHub stars)

Signature Innovations

• Patent: Phase-Adaptive Learning Rate Scheduler (2024)

• Publication: "Federated Transfer Learning for Shift Work Disorder" (Nature Digital Medicine, 2025)

• Award: 2024 AMIA Distinguished Informatics Innovator

Optional Customizations

• For Healthcare: "Our FL system cut circadian misalignment detection costs by 60% for HMOs."

• For Tech: "Consultant to Meta/Fitbit on federated sleep stage classification."

• For Academia: "Proposed new entropy metric for rhythm dispersion in FL clusters."