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Home • Projects • Publications • CV • Contact

👋 Welcome

I’m Dante Trabassi, a PhD in Neuroscience and AI/ML Scientist at Sapienza University of Rome.
I build explainable AI tools to uncover movement signatures in neurodegenerative diseases.

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🧠 Areas of Expertise

• Parkinson’s Disease, Hereditary Spastic Paraparesis (HSP), Ataxia and Movement Disorders
• Gait analysis with wearable sensors and clinical EMG
• Explainable AI (SHAP, SHAPSet, GradCAM)
• AI model deployment (Streamlit, Django, React, Vercel)
• Data balancing, GANs, temporal features
• TimeSeries Forecasting & Computer Vision

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🚀 Featured Projects

• 🔗 Fall Risk Predictor
  AI-powered webapp to predict fall risk in Parkinson’s patients, with SHAP explainability.

• 🔗 Prodromal Parkinson Classifier
  Predictive model to identify prodromal PD signatures from gait patterns.

• 🔗 ParkinsonBiomech_XAI_GAN
  Uncover biomechanical phenotypes using GANs and explainable AI tools.

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📄 Publications

• Trabassi D, Serrao M, Varrecchia T, Ranavolo A, Coppola G, De Icco R, Tassorelli C, Castiglia SF.
  Machine Learning Approach to Support the Detection of Parkinson’s Disease in IMU-Based Gait Analysis – Sensors, 2022
  DOI: 10.3390/s22103700 · PMID: 35632109 · PMCID: PMC9148133

• Trabassi D, Castiglia SF, Bini F, Marinozzi F, Ajoudani A, Lorenzini M, Chini G, Varrecchia T, Ranavolo A, De Icco R, Casali C, Serrao M.
  Optimizing Rare Disease Gait Classification through Data Balancing and Generative AI: Insights from Hereditary Cerebellar Ataxia – Sensors, 2024
  DOI: 10.3390/s24113613 · PMID: 38894404 · PMCID: PMC11175240

📚 See full list on Google Scholar

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📎 Download my CV

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📬 Connect

• 💼 LinkedIn
• 🎓 Google Scholar
• 🧬 ORCID

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🔳 Scan to visit my GitHub

➡️ Or visit directly: github.com/DanteTrb

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🧩 Site Info

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📄 Ultimo aggiornamento automatico

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Turning data into clinical insight, one step at a time.