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 MoreApril Yan, Iyinoluwa Tugbobo, Ilya Rattsev, Michelle Nguyen, Shanshan Song, and Tamisha Segbefia presented at the 2024 Department of Medicine & Whiting School of Engineering Research Retreat Poster Session on February 9, 2024.
January 30, 2024Our article titled Incorporation of emergent symptoms and genetic covariates improves prediction of aromatase inhibitor therapy discontinuation was published in JAMIA Open (online ahead of print).
January 20, 2024Welcome to Rodrigo Guerra (BME PhD Student) who is completing a rotation and Kevin Gorman joining the lab as a Research Program Assistant. Welcome also to Jash Shah (CS MS Student) and Sukrit Treewaree (BME MS Student) joining us this Spring.
January 8, 2024Karen Yang has joined Trinity Lab Sciences in San Francisco, CA as an Associate Consultant. Louise Lu has joined Amazon in San Francisco, CA as a Software Engineer.
November 15, 2023This year we had one podium abstract presentation and one paper presentation at the (AMIA 2023 Annual Symposium) in New Orleans, LA. Louise Lu presented her paper on "An Automated Strategy to Calculate Medication Regimen Complexity" and Kevin Gorman presented his abstract on "Detecting occurrence of and characterizing clinical events of patients with BRCA cascade testing using commercial claims data."
September 6, 2023Agarwal B was accepted into Googles CS Research Mentorship Program. The announcement can be found here.
September 3, 2023Soley N won a Paper Award (Honorable Mention) at ACM-BCB 2023 for her paper titled "Predicting Postoperative Pain and Opioid Use Using Machine Learning Applied to Longitudinal Electronic Health Record and Wearable Data."
September 3, 2023This year we have two papers and one poster accepted for presentation at the 14th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB 2023) in Houston, TX. Ilya Rattsev will present his poster on "Building PBPK Model of Exemestane to Predict Drug Concentrations in Clinically Relevant Tissues." Natalie Wang will present her CNB-MAC 2023 workshop paper on "Drug Interaction Vectors Neural Network, DrIVeNN." Nidhi Soley will present her conference paper on "Predicting Postoperative Pain and Opioid Use with Machine Learning Applied to Longitudinal Electronic Health Record and Wearable Data."
August 1, 2023We are delighted to have April Yan (BME PhD Student), Nidhi Soley (BME PhD Student), Iyinoluwa Tugbobo (CS PhD Student), and Bhavik Agarwal (CS MS Student) join us. Karen Yang and Louise Lu will also join the lab this Fall as Research Program Assistants. Welcome to you all!