DOCUMENT INDEX
Click to unlock more detail. The more you open, the more you learn about my method and context.
Executive Brief
Andrea Zedda
PhD Bioengineer · R&D ML Architect
I design data-driven decision systems: causal inference + interpretable predictive modeling for business intelligence, and sensor-fusion motion analytics for bioengineering.
- Decision intelligence: interpretable ML + driver analysis (SHAP)
- Causal discovery/inference for decision support and strategy
- Motion analytics: sensor fusion and biomechanical metrics (IMU/EMG)
Principles & Methods
Governance boundaries, operating system, and the methods used to turn data into decision-ready outputs.
Operating System CORE
Collaboration Modes UNLOCK
Focus Now UNLOCK
What I'm building right now and the methods I use to turn data into decision-ready outputs.
Capabilities UNLOCK
Services are scoped as deliverables: reproducible analysis, decision support, and production-ready interfaces (BI / health / wearables).
Toolbox UNLOCK
Future Plans UNLOCK
What I'm building and where I'm investing my time.
Verifiable Artifacts & Context
Roles, containers, outputs, public artifacts, and academic coursework.
About CORE
A compact timeline of research and industry work, with the tooling that shaped my approach.
Operational & Research Contexts UNLOCK
Listed for context; exposure does not imply employment or endorsement.
DIRECT WORK
- SketchData
- YouAndTech
- University of Cagliari
- University of Genoa
- Camelot Biomedical Systems
OPERATIONAL EXPOSURE
- Motorola
- ITA Airways
- Aura (early-stage startup)
Education UNLOCK
Degrees and training that shaped my research approach and engineering standards.
PhD in Biomedical Engineering
University of Cagliari • 2017–2021
- Home neuromotor telerehabilitation system for stroke patients (DoMoMEA).
- Low-cost sensing + gamified feedback loops for adherence and correctness.
- Remote personalization + continuous progress monitoring.
- Android TV box + Unity3D for the patient UI.
- IMU sensing (MUSE by 221e) + custom pressure sensors.
- Multi-device Bluetooth Classic connectivity.
- Store-and-forward telemonitoring with Django + PostgreSQL.
- Nginx + Gunicorn for serving the web app.
Containers UNLOCK
A container-first ecosystem: each pillar encodes governance boundaries, reusable assets, and the current status of delivery.
Project Examples UNLOCK
Concrete builds that show what I actually ship inside the containers above.
Selected Proof
Links to public artifacts. Placeholders are intentionally marked TODO until a public URL exists.
Proof (artifacts) UNLOCK
- Android TV box + Unity3D patient-facing system for home therapy.
- IMU sensing (MUSE by 221e) + custom pressure sensors (insole/glove/under-elbow).
- Multi-device Bluetooth Classic connections to the TV box.
- Store-and-forward upload + clinician review via Django/PostgreSQL (Nginx/Gunicorn).
- Per-repetition metrics (angles, timing, errors, score) stored for longitudinal tracking.
- Clinician-configurable safety limits + remote configuration updates.
- Development status in 2019: 2/5 exercise blocks integrated; tuned on healthy subjects.
- Pilot RCT plan: 8 weeks, 5 days/week; IPPA/PIADS/QUEST/SUS for usability/acceptability.
- Engineering issue: Unity↔Android constraints; coroutine-based workaround + lifecycle mitigation.
University Courses
Exams and courses completed during my academic journey.
Courses (details) UNLOCK
Contact
Best channel: email. If you're evaluating collaboration, LinkedIn is the fastest context sync.