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We are a collaborative research group in Medicine and Biomedical Engineering at Johns Hopkins University.
Learn MoreOur research translates genomic, wearable, and clinical data into equitable clinical decisions through AI and informatics.
Learn MoreOur projects span genomic clinical decision support, wearable-derived phenotyping, and real-world evidence for precision medicine.
Learn MoreAlumni Michelle Nguyen has a poster titled "Revealing User Preference Profiles for an LLM-Generated Consumer Family Health History Report" and a Systems Demonstration on "KIT, A Hybrid Flow-based and LLM-Enabled Chatbot for Guided Patient-Facing Family Health History Data Collection" at the AMIA 2026 Annual Symposium held November 7–11 in Dallas, TX.
November 1, 2026We are celebrating two of our recent graduates Ilia Rattsev and Natalie Wang. Rattsev joined Genentech as Senior Scientist on the Modeling and Simulations team and Wang joined Meta as Data Scientist on the Identity and Authenticity, Leadership and XFN team. We are very proud of their accomplishments in the lab and wish them every success in their new chapters.
October 26, 2026Taylor had the honor of delivering a presentation on "Translating the Unfamiliar into Action, Lessons from Genomic Medicine for Clinical AI" at the National Library of Medicine (NLM) Lister Hill Center Auditorium in Bethesda, MD on Thursday Oct 29, 2026. The annual NLM Ada Lovelance Computational Health Lecture series features women in STEM sectors and invites them to share thier pioneering research with NIH and beyond.
September 26, 2026Ilia Rattsev presented a poster abstract titled "A QSP Model Identifies Pharmacogenomic Determinants of Optimal Intervention Strategy for Aromatase Inhibitor-induced Bone Toxicity" at the Pharmacogenomics Global Research Network (PGRN) 2026 Scientific Meeting in Collaboration with ClinPGx held September 26-27, 2026 at Northwestern University in Chicago.
August 6, 2026Kiran Shay and Chenjia Zhang (undergraduate students in computer science) successfully completed their Johns Hopkins Data Science and AI Institute (DSAI) Summer Internship. This internship project explored real-world data sources for antidepressant side-effects among pregant persons.
July 23, 2026Natalie Wang successfully defended her dissertation in the Computer Science PhD program in the Johns Hopkins Whiting School of Engineering. The title of her dissertation is "Discovering Pregnancy-Relevant Drug-Drug and Drug-Supplement Interactions Using Traditional Pharmacovigilance Resources and Social Media Text." Congradutations on this outstanding accomplishment!
July 9, 2026MaKhaila Bentil presented a poster titled "Beyond Blood Sugar, Consumer Wearables Reveal an Autonomic-Cardiorespiratory Axis Independent of Gycemic Severity in Type 2 Diabetes" at the 2026 AIM-AHEAD annual meeting held July 6–9 in San Diego, California. That work was completed as part of her participation in the AIM-AHEAD Bridge2AI AI-READI Training Program. In addition, CO Taylor is part of the AIM-AHEAD Northeast Hub Leadership team coordinating consortium activities and supporting awardees from the region. She was co-author on the poster titled "Stakeholder Contributions and Impact in the Northeast Hub, A Review of Publications, Presentations, and Grant Success."
July 2, 2026Michelle Nguyen had a BioNLP workshop paper titled FHexchange, Resources for Family Health History Extraction and Normalization From Consumer Dialog Sources at the 20th annual meeting of the ACL Special Interest Group on Biomedical Natural Language Processing (25th BioNLP workshop) held July 2–4 in San Diego, California.
June 4, 2026Our paper titled TASC, a time-aware sequence clustering framework with uncertainty quantification for electronic health record trajectories was published in a special collection of BioData Mining on Advances in Data Mining for Biomedical Informatics and Healthcare.