王筱（wangxiao3@genomics.cn），博士。2018年，于美国伊利诺伊大学香槟分校取得数学博士学位，研究方向为大偏差理论及其在统计物理学中的应用。2018年至2023年，就职于Parkland Hospital，美国最大的公立医院系统之一，任Principal Data Scientist. 主要负责项目包括儿童哮喘的急诊预防，儿童肥胖症的临床关注，儿童心理和行为健康的新型干预，孕妇早产和妊娠糖尿病的预测。同时参加过多个政府和公共卫生部门牵头的大型项目，如新冠疫情期间政府防疫政策的制定和州医疗法规法案的制定等。2023年12月，加入武汉华大研究院，研究多组学询证算法，负责妇幼和生殖等方向临床实用性算法的开发和推广，以及临床信息系统的开发与转化。
研究方向：
1.Machine learning in healthcare
2.Social determinant of health (SDOH)
3.Multi-omics and implementation in clinical practice
现任岗位：华大研究院 华中分院 智能所 算法开发高级工程师
教育背景：Ph.D. in Mathematics University of Illinois Urbana-Champaign (UIUC) USA
参与项目：
1.省重点研发项目, 基于真实世界中西医结合防治子痫前期临床决策支持系统的实效研究与应用示范, 参与
2.省重点研发项目, 基于人工智能的控制性卵巢刺激干预辅助决策的应用与示范, 课题骨干
3.Texas House Bill (HB), HB133 (extension of postpartum Medicaid coverage) and HB4343 (implementation of a streamlined consent process for Medicaid Managed Care Organizations), data and analytical support
4.Dallas County Health and Huamn Services (DCHHS), Asthma Control Program, analytical analysis member, https://www.dallascounty.org/departments/dchhs/public-health/chronic-disease/asthma-control-overview.php
5.Parkland Hospital (Dallas TX), Pediatric Asthma ED Prevention Program, data science lead
6.Parkland Hospital (Dallas TX), Preterm Birth Prevention Program, data science lead
7.Parkland Hospital (Dallas TX), Innovative AI-based Interventions for Addressing Pediatric Mental and Behavioral Health Needs, data analysis lead
8.Kaiser Augmented Intelligence in Medicine and Healthcare Initiative (AIM-HI), Generalizing An AI/ML Model for Pediatric Asthma Care in Safety Net Health Settings, data science member, https://divisionofresearch.kaiserpermanente.org/research/aim-hi/project-portfolio/
论文：
1.Extending Postpartum Medicaid Beyond 60 Days Improves Care Access and Uncovers Unmet Needs in a Texas Medicaid Health Maintenance Organization. Frontiers in Public Health, May 2022.
2.Timely Preterm-Birth Prediction Among Pregnant Women in Medicaid Without Preterm-Birth History. The American Journal of Managed Care, May 2021, Volume 27, Issue 5.
3.A novel evidence-based approach to digital outreach improves patient engagement and health outcomes in two distinct cohorts of medicaid patients. BMJ Open Quality, Dec 2019, 8 (Suppl 2) A21-A22.
