Jichuan (Val) Hu, a Data Analyst at Dobson | DaVanzo, works on a wide range of projects utilizing her statistical and SAS programming skills. She is currently working on CMS projects in Medicare Part D Formulary, Claims, and Part C&D Validation. Previously at Dobson | DaVanzo, Ms. Hu worked on the CMS-contracted program to implement a revised Medicare IPPS disproportionate share hospital (DSH) payment policy as called for by Section 3133 of the Affordable Care Act of 2010 (ACA), and projects with both National and Texas associations of Freestanding Emergency Centers, National Association of Psychiatric Health Systems, National Association for Proton Therapy, and America’s Essential Hospitals.
Prior to joining Dobson | DaVanzo, Ms. Hu was the Data Analyst at the University of Massachusetts Lowell, Department of Chemistry. During her time there, Ms. Hu designed statistical analysis plans, managed and analyzed research data to identify potential relationships between cell culture conditions and recombinant protein attributes. In particular, she conducted her research projects utilizing various programs, including SAS, R, SPSS, ArcGIS, and Excel.
Ms. Hu’s other professional experience includes working in data analysis at the United States Green Building Council (USGBC), where she queried and analyzed data of all LEED2009-certified projects. While at USGBC, Jichuan collaborated with the Department of Research and participated in pilot research on the certified buildings with occupants’ health as the key interest. Ms. Hu has also worked at the Center for Disease Control and Prevention of Beijing, China as a Research Intern, where she co-designed a survey for all k-12 schools in Beijing, collected data, and analyzed the variation in preparation, transportation, management, cost, and quality of the school lunch.
Ms. Hu has a Bachelor of Medicine degree in Public Health from China Capital Medical University, a Master of Public Health degree in Biostatistics from George Washington University, and certificates in SAS base and advanced programming.