Mentoring & workshops
Datathons, forums and workshops where I have mentored teams or taught, mostly through MIT Critical Data and mostly at the intersection of clinical data and machine learning.
MIT Critical Data: Global Clinical AI Datathons
Supporting the deployment of the M3 conversational interface across international datathons (Korea, China, Emory University), advising on dataset alignment, workflow integration and user onboarding.
2026
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GenAI Health Hack 2026
Mentored interdisciplinary teams building LLM- and RAG-based prototypes for real challenges of the Catalan health system, at the second edition co-organised by Hospital Clínic de Barcelona and MIT Critical Data.
2025
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8th ZIMAM Digital Health Forum
Invited speaker and mentor at the GCC digital health forum on AI, data governance and workforce development, representing MIT Critical Data's clinical AI initiatives.
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Korea Clinical Datathon
Mentored teams on developing and evaluating AI agents in healthcare, co-hosted by Seoul National University Hospital and MIT Critical Data, using MIT's M3 agent and the K-MIMIC multi-center ICU dataset.
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Future of Smart Health Forum
Invited speaker and mentor at the Zhejiang University and MIT Critical Data joint event; presented “Data Science Workflow in the Era of GenAI” and facilitated workshops on ethical AI.
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SCCM Datathon
Mentored clinicians and data scientists analysing the timing of first antibiotic administration in septic shock and its association with ICU mortality.
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Duke University Datathon
Mentored a clinician–data scientist team evaluating whether LLMs can generate evidence-based ICU recommendations for fluids, vasopressors and antibiotics.
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Brown University “Promptathon”
Led a workshop introducing high-school students to prompt engineering and safety in clinical AI.
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Harvard Medical School
Co-led a workshop for public health students on critical thinking, bias detection and responsible AI deployment in healthcare.
2024
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Hospital Clínic de Barcelona
Mentored a team building an EHR-based chatbot for chronic pain education, advising on LLM evaluation using clarity, relevance and user trust metrics.
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Balgrist Hospital
Facilitated sessions on ICU data exploration and clinical dataset bias detection, and their impact on ML performance.