Lab profile
About CHIP
CHIP is a leader in biomedical informatics and artificial intelligence in medicine, bringing together medicine, computer science, mathematics, AI, data science, epidemiology, genomics, and policy to improve care, accelerate discovery, and strengthen health systems. The program develops and evaluates machine learning, natural language processing, and large language models to help clinicians interpret complex records, identify at-risk patients, make point-of-care decisions, and shorten diagnostic odysseys, while also advancing public health and revealing biological patterns in molecular, genomic, and multimodal data.
AI/LLMsFederated NetworksGenomic MedicineScalable Health Information TechnologyBiosurveillance & Public HealthRegulatory ScienceNatural Language ProcessingMachine Learning
01 · Research focus
Research areas and highlights
Topics and recent work as stated on the lab’s own site.
- Machine Learning for Medical Language LabStudies the use of machine learning-based natural language processing for biomedical and health-related use cases.
- Natural Language Processing LaboratoryDevelops and implements NLP technologies to apply to the electronic medical record using statistical machine learning methods.
- Majumder LabSpecializes in AI/ML methods for public health problems including emerging and vaccine-preventable infections, medical misinformation, and outcome disparities in marginalized populations.
- Predictive Medicine GroupDevelops novel approaches for predicting human health including disease risk prediction, predictive pharmacovigilance, predictive health system dynamics and real-time public health surveillance.
- SMART Health ITAdvances medicine, discovery and public health through parsimonious, open standards, application programming interfaces, laws and regulation, best known for the SMART on FHIR API.
- Computational Epidemiology LabConducts projects to predict patterns of disease, analyze patterns of epidemics, use of satellite data and public health surveillance tools.
- Dietlein LabDecodes key principles of cancer genomics in tumor development and uses them for targeted cancer therapies combining statistics, machine learning, tumor biology, and functional genomics.
- Translational Omics Medicine LabDevelops methods to molecularly characterize patients for research and discovery.
- Cava LabMulti-disciplinary group focused on biomedical informatics and machine learning with emphasis on interpretability and fairness.
- The Registry and Informatics R&D (RIR&D) GroupFocused on development and application of innovative, open-source, data-driven solutions to challenges faced by longitudinal disease registries and related studies.
- The Manrai LabDevelops computational approaches that incorporate rich and deep representations of clinical state and individual identity into care to improve medical decision making.
- The Pediatric Therapeutics and Regulatory Science InitiativeProvides a forum for collaboration with academia, patients, policymakers, and industry to advance the development and evidence-based use of novel therapeutics for children globally.
02 · People
Leadership and researchers
People listed on the lab’s team pages, by role.
Kenneth D. MandlDirector · Director, Computational Health Informatics Program (CHIP); Donald A.B. Lindberg Professor of Pediatrics and Professor of Biomedical Informatics, Harvard Medical School
Paul AvillachFaculty, Computational Health Informatics Program (CHIP); Associate Professor of Biomedical Informatics, Harvard Medical School
Florence BourgeoisFaculty, Computational Health Informatics Program (CHIP); Senior Associate Physician, Division of Emergency Medicine; Scientific Director, Biobank; Associate Professor of Pediatrics and Assistant Professor in Emergency Medicine, Harvard Medical School
John BrownsteinFaculty, Computational Health Informatics Program (CHIP), Chief Innovation Officer, Boston Children's Hospital; Professor of Pediatrics, Harvard Medical School
William (Bill) La CavaFaculty, Computational Health Informatics Program (CHIP); Assistant Professor of Pediatrics, Harvard Medical School
Felix DietleinFaculty, Computational Health Informatics Program (CHIP); Assistant Professor of Pediatrics, Harvard Medical School
Alvin KhoFaculty, Computational Health Informatics Program (CHIP); Assistant Professor of Pediatrics, Harvard Medical School
Isaac KohaneFaculty, Computational Health Informatics Program (CHIP); Chair, Department of Biomedical Informatics, Harvard Medical School; Marion V. Nelson Professor of Biomedical Informatics, Harvard Medical School
Sek Won KongFaculty, Computational Health Informatics Program (CHIP); Director, Translational Omics Medicine Lab; Associate Professor of Pediatrics, Harvard Medical School
Maimuna MajumderFaculty, Computational Health Informatics Program (CHIP); Assistant Professor of Pediatrics, Harvard Medical School
Shannon ManziApplied Informatics Faculty, Computational Health Informatics Program (CHIP); Director, Clinical Pharmacogenomics Service; Manager; Assistant Professor of Pediatrics, Harvard Medical SchoolLinkedIn ↗
Timothy MillerFaculty, Computational Health Informatics Program (CHIP); Associate Professor of Pediatrics, Harvard Medical School
Marc NatterFaculty, Computational Health Informatics Program (CHIP); Assistant Professor of Pediatrics, Harvard Medical School
03 · Research intelligence
Research Intelligence evidence
Publications, grants and clinical trials linked to the lab’s researchers in Health AI Central’s research data.
Publications & preprints
- Advances in the Phenotyping and Management of Common Variable Immunodeficiency.Immunology and allergy clinics of North America · 2026
- Data-driven registration and modeling of brain deformation for image-guided neurosurgery.Medical image analysis · 2026
- Shadow AI and the Limits of Institutional Agility.Journal of medical Internet research · 2026
Active NIH grants
- Cancer Deep Phenotype Extraction from Electronic Medical Records (renewal)Guergana Savova · NCI · FY 2026
- Transparent Artificial Intelligence from Clinical Text, ECGs, and Imaging for Pediatric CardiologyWilliam (Bill) La Cava · NHLBI · FY 2026
- Real-time Monitoring and Correction of Clinical Decision Support Systems using Artificial IntelligenceWilliam (Bill) La Cava · NLM · FY 2026
04 · Updates
Updates and lab news
News and events from the lab’s own site.
- AI medical devices' dirty FDA secretNewsMay 13, 2026 · statnews.com
- US on the Brink of Losing Measles-free Status, Study WarnsNewsMay 5, 2026 · usnews.com
- WEST AI Algorithm May Help Speed Diagnosis of Rare DiseasesNewsApr 16, 2026 · ncats.nih.gov
- Toward a National Health Digital and Data Architecture: Laying the Foundation for Digital TransformationNewsMar 9, 2026 · nam.edu
- If A.I. Can Diagnose Patients, What Are Doctors For?NewsSep 29, 2025 · newyorker.com
- How AI can distort clinical decision-making to prioritize profits over patientsNewsMar 3, 2025 · statnews.com
- Boston Children's among 6 children's hospitals leading in AINewsOct 16, 2024 · beckershospitalreview.com
- New cardiovascular risk model could greatly decrease use of statins and increase heart attacks, study warnsNewsJul 29, 2024 · statnews.com
05 · Official presence
Lab sources and channels
The lab’s own pages and accounts.
06 · Related
Related labs and centers
Labs at the same institution and labs working on similar topics.