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We are a collaborative research group in Medicine and Biomedical Engineering at Johns Hopkins University.
Learn MoreOur research draws from biomedical informatics and the related field of biomedical data science to address challenges to translating discoveries into practice.
Learn MoreWe pursue projects that address the challenge of how to incorporate technology and digital approaches into research and clinical practices.
Learn MoreWe are looking for passionate new PhD students, Master and Bachelor students to join the team.
Learn MoreTaylor was thankful for the opportunity to participate on a panel titled "Advancing Pharmacogenomics Through Biobanks, Real-World Data, and Clinical Implementation" at the Pharmacogenomics Global Research Network (PGRN) 2025 Scientific Meeting in collaboration with ClinPGx. The meeting was held at University of Montana Sep 10-12th, 2025. Taylor discussed NIMHD-funded work on "Assessing real-world implications of genome-guided prescribing."
September 5, 2025Ilia Rattsev was selected for the Quantitative Systems Pharmacology SIG award! He will be recognized during the SIG lunch session at The American Conference on Pharmacometrics (ACoP) that will be held from Oct 18-21, 2025 in Aurora, Colorado.
August 9, 2025Our article titled Unveiling social determinants of health impact on adverse pregnancy outcomes through natural language processing was published in Scientific Reports.
July 10, 2025Nidhi Soley was selected for the JHU BME Distinguished Teaching Assistant award for her outstanding performance during the academic year 2024-2025! She was lead TA for Precision Care Medicine I-II (BME 580.680-881) offered Fall 2024 and Spring 2025.
June 1, 2025Bhavik Agarwal completed his MS in Computer Science and his thesis titled “Design and Evaluation of GPT and RAG-Based QA Systems for Genomic and Pharmacogenomic Patient Queries.” He has joined MasterControl as an AI/ML Research Scientist. Jash Shah completed his MS in Computer Science and has joined ServiceNow as a Machine Learning Engineer. He has contributed to a lab project under way automating the review and identification of high-impact genomic medicine implementation research articles. Agarwal and Shah have also contributed to work with other lab members using LLMs to generate synthetic drug-related patient portal messages.
May 29, 2025Our article titled Relapse prediction using wearable data through convolutional autoencoders and clustering for patients with psychotic disorders was published in Scientific Reports.
May 12, 2025Our article titled DrIVeNN - Drug Interaction Vectors Neural Network was published in Journal of Computational Biology.
March 27, 2025Our article titled Predicting postoperative chronic opioid use with fair machine learning models integrating multi-modal data sources - a demonstration of ethical machine learning in healthcare was published in JAMIA.
January 23, 2025Taylor is extremely grateful to be nominated by the National Institutes of Health and to be a recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE).