AI for mental health and biomedicine
Research Scientist at the Machine Learning Core, National Institute of Mental Health, National Institutes of Health (NIMH/NIH).
My background combines research and applied work in artificial intelligence (AI) and related fields—including natural language processing (NLP), machine learning, data science, and knowledge representation—with a strong focus on health and biomedicine. My work spans areas such as mental health, opioid prescribing, and population-level analyses of electronic health records and social media data.
I am also committed to advancing AI and computer science in Latin America, particularly in Peru. To support this mission, I co-founded the following initiatives:
Co-founder of SIMBig (since 2014) — the leading English-language AI conference focused on Latin America. Speakers from Harvard, Stanford, MIT, Cambridge, Oxford, Google, Meta.
Co-founder of LASAI (since 2025) — Spanish-language AI school expanding access in Latin America. Faculty from Cambridge, CMU, Johns Hopkins, MIT, Google.
Positions









Training
PhD · Computer Science · University of Montpellier (LIRMM)
BioNLP, text mining and biomedical ontologies. Advisors: Clement Jonquet, Mathieu Roche, Maguelonne Teisseire.
MSc · Artificial Intelligence and Decision Support Systems
MSc · Business Intelligence and Statistics
Computer Science & Engineering · UNMSM
Projects, awards & service
Projects & Scientific Software
- SIFR Project — ontology-based services for indexing, mining and retrieval of biomedical data (with NCBO, Stanford).
- BIrthDAY Consortium — decision-making tools for agriculture and biodiversity in Peru.
- OC-2-KB — Obesity and Cancer to Knowledge Base (2017).
- BioTex — biomedical term extraction with multiple ranking measures (2014–2015).
Patent
- Targeted Summarization of Medical Data Based on Implicit Queries — patient EHRs into multidimensional search-space representations (2013–2014).
Grants, Fellowships & Awards
- Best #COVID19 Project — $5,000 Google prize, Stanford Biodesign (2020). #HomeDerm, telemedicine for the elderly. More info.
- Postdoctoral grant — $27,963, Institute of Informatics, University of Florida (2017–2018).
- AIJ funding — $3,000 for SIMBig 2024.
- NAACL funding — $1,000 / $1,500 / $1,000 for SIMBig 2023 / 2022 / 2018.
- Google funding — $500 for SIMBig 2018.
- IEEE BIBM 2016 student travel award — $1,000.
- Award for professional excellence in Computer Science — UNMSM (2015).
- Best Mini-Project (Hospital Finder) — SSSW 2013, under Natasha Noy.
- FINCyT research scholarships, Peru (last 2013).
- Chess trophies and awards (2000–2004).
Professional Activities
- Co-founder & General Co-chair of SIMBig — every edition since 2014.
- Co-founder & General Co-chair of LASAI (2025–present).
- Head of the BIrthDAY consortium (4 universities).
- General Co-organizer of EnGeoData (2019, 2020, 2021, 2023) within IEEE DSAA.
- Co-chair of Special Session EAST'2017 — FLAIRS 2017, AAAI.
- Organizing committee — NLDB 2014, Montpellier.
- Co-mentor of an NIH postbac researcher; advisor for 3 MSc internships in France.
- Reviewer for journals (Nature, JAMIA, JMIR, …) and conferences (NAACL-HLT, IJCAI, AMIA, DSAA, ECML PKDD, FLAIRS, SIGMOD, TALN, …).
Invited Talks (selected)
- 2023: AI Workshop, University of Florida.
- 2020: TEDxUNMSM, Lima, Peru.
- 2019: AI Seminar, UNMSM, Lima.
- 2015: Big Data & Data Mining seminar series — UNMSM, U. del Pacífico, UTP (Lima).
- 2014: WRPIAA 2014, PUCP, Lima.
Across three countries
Data science, ML, AI and biomedical informatics — USA, France and Peru. Undergraduate, graduate students, faculty training and professional development, beginner to advanced audiences.
Recent
- 2024 · UNMSM (Peru): Applications of Generative AI and NLP.
Earlier — USA
- 2016–2019 · University of Florida: Data Science — Python (Pandas, Scikit-learn, NumPy) and Weka tutorials for MS/PhD students.
- 2016–2018 · University of Florida: BioNLP — named entity recognition, term and relation extraction, ontology construction.
- 2018 · UPCH (Peru): Data Science for Biomedical Research — intensive course for MS students.
Earlier — France
- 2014–2015 · IUT Béziers / University of Montpellier: Web programming (PHP), TER MS supervision.
- 2013–2014 · University of Montpellier: Data Mining, Databases & Information Systems, NoSQL, Algorithmics & Programming.
- 2012–2013 · EPSI Montpellier: Database Administration (Oracle 11g).
Talks and news coverage
TEDx talk and selected coverage in international and national outlets.
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NLP uncovers silver linings in the COVID-19 pandemic Forbes · 2021
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Searching for silver linings in the COVID-19 pandemic (interview) TherapyTips · 2021
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El sanmarquino que investiga salud mental para el gobierno de EE. UU. La República · 2022 -
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Investigador busca prediagnosticar COVID-19 usando IA Andina · 2020 -
Peruano desarrolla buscador para prevenir y tratar el cáncer La República · 2019 -
Peruano trabajará en Stanford para combatir cáncer con IA El Comercio · 2019 -
Sanmarquino trabajará en prevención de cáncer en Stanford La República · 2019 -
Científicos de Google y Stanford brindarán charlas gratuitas La República · 2019 -
Reportaje — Municipalidad de Chepén Facebook · video






