梓瑞 谷
About
梓瑞 谷 is from 美国 Georgia Suwanee. 梓瑞 works in the following industries: "高等教育", and "医院和护理". 梓瑞 is currently Data Scientist at Siemens Healthineers, located in Richmond, VA. In 梓瑞's previous role as a Biostatistician at Virginia Commonwealth University Health System, 梓瑞 worked in Richmond, Virginia Area until Sep 2016. Prior to joining Virginia Commonwealth University Health System, 梓瑞 was a Graduate Teaching Assistant at Virginia Commonwealth University and held the position of Graduate Teaching Assistant at Richmond, Virginia Area. Prior to that, 梓瑞 was a Research Assistant at Department of Biostatistics at Virginia Commonwealth University, based in Richmond, Virginia Area from Aug 2011 to Aug 2012.
梓瑞 谷 can be found on Finalscout.com, where members can access 梓瑞 谷's email for free. Finalscout is a professional database with more than 500 million business professional profiles and 200 million company profiles.
梓瑞 谷's current jobs
1.Develop descriptive and predictive analytics and deploy them into scalable and actionable pipelines that are able to extract clinically, financially, and/or operationally significant information from large scale structured and unstructured healthcare data. 2.Collaborate with data analysts and software engineers to establish effective data governance and interpretable visualization. 3.Communicate with providers, colleagues, and partners. Translate clinical questions into analytical data science problems. Present analytic results and predictive models. 4.Study on healthcare research publications and transform them into practical data science solutions. 5.Define and drive requirements for adapters to enterprise data source, a data warehouse to receive and organize the data.
梓瑞 谷's past jobs
1. Transformed project objectives into analytical questions, provided achievable and efficient study design and data analysis plans. 2. Integrated and cleaned big data from multiple sources; Implemented sampling strategy, system rules monitor and diagnosis using SAS SQL queries. 3. Implemented reusable and well documented SAS/R codes to timely handle multiple projects. 4. Validated and Improved existing tools in evaluating health care quality, cost, and patient experience by developing various predictive models. 5. Created high-quality business/research reports including straightforward graphics, efficient and actionable strategies; Interpreted statistical/mathematical metrics and results for teammates without relevant background.
1. Tutored graduate students for the statistical methods course. 2. Assisted instructor with classroom instruction, homework and exams grading.
1. Implemented a computational ecient parallelled algorithm for gene mapping in big pedigrees data with a large number of linked loci and missing markers using C++ and Linux script on cluster. 2. Provided consulting services on sample size estimation, model selection, optimization, experimental design, and cluster analysis.