💰 2026-Aug: Marcy Ekanayake-Weber received an NIH K01 Career Development Award titled "Developing VENUS: Virtual Epidemiological Networks for Understanding STIs". Congratulations, Marcy!
📖 2026-Jul: Marcy Ekanayake-Weber's paper titled "Measuring the health benefits and costs of antimicrobial-resistant gonorrhea surveillance in the United States: an agent-based model and cost-effectiveness analysis," is published in The Lancet Regional Health - Americas. Congratulations, Marcy!
📖 2026-Jun: Rachel Murray-Watson's paper titled "Acceptability of Nonpharmaceutical Interventions to Prevent the Risk of COVID-19 Infection in the United States," is published in Medical Decision Making - Policy & Practice. Congratulations, Rachel!
🎙️ 2026-May: Ze Wang's abstract titled "Estimating the prevalence of antimicrobial-resistant gonorrhea in the United States counties using machine learning models" is accepted for an oral presentation at the 2026 American Medical Informatics Association (AMIA) Annual Symposium, being held in Austin, TX, between November 7-11, 2026. Congratulations, Ze!
🎙️ 2026-May: Ritvik Penchala's abstract titled "Can Large Language Models Support Multi-Objective Decision Making?" is accepted for an oral presentation at the 2026 American Medical Informatics Association (AMIA) Annual Symposium, being held in Austin, TX between November 7-11, 2026. Congratulations, Ritvik!
📊 2026-May: Xavier Guaracha's abstract titled "Reliable forecasting of local surges in hospitalizations from machine-learning models trained exclusively on simulated pandemics," is accepted for a poster presentation at the 2026 American Medical Informatics Association (AMIA) Annual Symposium, being held in Austin, TX, between November 7-11, 2026. Congratulations, Xavier!
📖 2026-Apr: Rachel Murray-Watson's paper titled "Forecasting Local Surges in COVID-19 Hospitalizations through Adaptive Decision Tree Classifiers," is published in Medical Decision Making. Congratulations, Rachel!
📊 2026-Apr: Ze Wang's abstract titled "Estimating the prevalence of antimicrobial-resistant gonorrhea in the United States counties using machine learning models" is accepted for a poster presentation at the 2026 UCSF Health Services Research Symposium, being held in San Francisco, CA, on May 13. Congratulations, Ze!
📊 2026-Mar: Ze Wang's abstract titled "Estimating the prevalence of antimicrobial-resistant gonorrhea in the United States counties using machine learning models" is accepted for a poster presentation at the 2026 Society for Medical Decision Making (SMDM) conference, being held in Oslo, Norway, between June 28-July 1, 2026. Congratulations, Ze!
📊 2026-Mar: Mariana Raniere's abstract titled "Enhancing Interpretability of Machine Learning-Integrated Decision Models," is nominated for the Lee B. Lusted Student Prizes to be awarded during the 2026 Society for Medical Decision Making (SMDM) conference, being held in Oslo, Norway, between June 28-July 1, 2026. Congratulations, Mariana!
📊 2026-Mar: Tima Mikdashi's abstract titled "Who Needs More Data? Comparing Statistical and Value of Information Frameworks to Address Data Inequity in Clinical Trials," is nominated for the Lee B. Lusted Student Prizes to be awarded during the 2026 Society for Medical Decision Making (SMDM) conference, being held in Oslo, Norway, between June 28-July 1, 2026. Congratulations, Tima!
📊 2026-Mar: Xavier Guaracha's abstract titled "Reliable forecasting of local surges in hospitalizations from machine-learning models trained exclusively on simulated pandemics," is accepted for a poster presentation at the 2026 Society for Medical Decision Making (SMDM) conference, being held in Oslo, Norway, between June 28-July 1, 2026. Congratulations, Xavier!
📊 2026-Mar: Yashleen Sharma's abstract titled “Cost-effective analysis of short-course treatment regimens for multidrug-resistant tuberculosis," is accepted for poster presentation at the 2026 Society for Medical Decision Making (SMDM) conference, being held in Oslo, Norway, between June 28-July 1, 2026. Congratulations, Yashleen!
📊 2026-Mar: Ritvik Penchala's abstract titled "Evaluating Large Language Models as Decision-Support Tools for Pandemic Policy Making," is accepted for a poster presentation at the 2026 Society for Medical Decision Making (SMDM) conference, being held in Oslo, Norway, between June 28-July 1, 2026. Congratulations, Ritvik!
🎙️ 2026-Mar: Xavier Guaracha's abstract titled "Reliable forecast of local surges in hospitalization from machine-learning models trained only on simulated pandemics," is accepted for an oral presentation at the Council for State, Territorial Epidemiologists (CSTE) conference, being held in Boston, between May 31-June 4, 2026. Congratulations, Xavier!
🎓 2026-Mar: Xavier Guaracha is admitted to the UCSF & UC Berkeley Computational Precision Health (CPH) PhD program. Congratulations, Xavier!
🎙️2025-Nov: Xavier Guaracha presented her podium abstract titled "Forecasting surges in local hospitalizations during novel viral pandemics with scarce surveillance data," at the 2025 MIDAS Meeting. Congratulations, Xavier!
🎙️2025-Nov: Mariana Neves presented her podium abstract titled "Using machine learning models to inform personalized, cost-effective treatment recommendations," at the 2025 American Medical Informatics Association (AMIA) Annual Symposium. Congratulations, Mariana!
🚀 2025-Sep: We joined UCSF!