Excited to share our new paper on disparities in medication initiation for opioid use disorder! 🔬 What we did: Linked longitudinal EHR data with neighborhood-level social determinants of health to study disparities in timely MOUD initiation. 📊 What we found: 🏥 Barriers to MOUD initiation differed across outpatient, inpatient, and emergency care settings. 🌎 Neighborhood-level social determinants were particularly important in outpatient care. 👥 Demographic and clinical factors also influenced treatment initiation across care settings. 💡 The findings suggest that efforts to improve equitable access to MOUD may need to be tailored to where patients receive care. 🎓 This paper is also personally special to me. Zhen Luo, the first author, was my first MS student. He started this project when I was also learning how to be a mentor. 🙏 I’m grateful for his patience with a junior mentor. 💪 I admire his dedication and persistence in carrying this project through. ❤️ Most of all, I appreciate his genuine passion for research. Zhen is now a PhD student at Indiana University. Proud to see his growth and excited for what comes next! Many thanks to all our collaborators who made this work possible. Wenyu Song, @TKannampallil, Adam Wilcox, @MRHofford , and @RuochongFan. 📄 rdcu.be/fA3Az #OUD #HealthEquity #RealWorldEvidence

Very proud mentor moment today at #ENAR2026. Yesterday, my PhD co-advisee Yiqiao Jin presented his work on Federated R-Learner for Estimating Conditional Average Treatment Effects across Heterogeneous Datasets. His work receives the #ENAR Distinguished Student Paper Award. This is a highly competitive award, with 186 submissions and only 21 papers selected this year. As a junior faculty member, moments like this are deeply meaningful. One of the most rewarding parts of academia is watching students grow into confident researchers and seeing their work recognized by the community. I’m very grateful to Nan Lin, Yiqiao’s co-mentor in the Department of Statistics & Data Science, for the fantastic collaboration and mentorship. I also want to thank both the Department of Statistics & Data Science and the WashU Institute for Informatics, Data Science and Biostatistics (I2DB) for creating such a collaborative research environment where interdisciplinary ideas like this can grow. #ENAR2026 @WashUMedi2db

Proud to contribute to this @OHDSI network study! Kudos to the study lead Cindy X. Cai @HopkinsMedicine and the team!

🚀 Exciting keynote at the BIDS retreat! Dr. Cecilia Lee shared her groundbreaking work in #OphthalmologyAI at @WashUMedi2db showcasing how AI + big data can transform eye care and beyond. 👁️🤖

Excited to have my undergrad summer intern Xiaoyu Klay Sun, from our BIDS@I2DB program, working on applying AI for fluid segmentation in macular OCT images — and he presented this work at our retreat! Love seeing the next generation tackle real-world challenges in ophthalmology. 👁️🧑‍💻🩺 @WashUMedi2db

Congrats to Siqi!

Excited to kick off the spring semester seminar series with Dr. Yevgeniy Vorobeychik! @WashUengineers Dive into the intersection of privacy, utility, and fairness in biomedical research today at @BeckerLibrary, room 502. Don’t miss it! #WashUMed

A great causal inference book by @_MiguelHernan and James Robins. Excited for its upgrade.

I’m excited too! Come see me present my 100+ pages of dissertation in under 40 mins ;) Will I make it? 🤓

It was a tremendous honor for me to receive the OHDSI Titan Award! Thanks @OHDSI for this recognition! #OHDSI2024

I’m very honored to receive this award! Thanks to my mentors Drs George Hripcsak and David Blei, and committee members @noemieelhadad @proftatonetti @yixinwang_ for their guidance and support. Thanks to @ColumbiaDBMI faculties, students, and staffs and @OHDSI collaborators for making this journey fun and meaningful!

Very important work! Congrats @gamzeandgursoy