Dr. Zhu graduated from the Shanghai Med Univ, Shanghai First Med Univ, Shanghai, China in 1987. He works in Hampton, VA and specializes in Internal Medicine. Dr. Zhu is affiliated with Hampton VA Medical Center.
Takeda Pharmaceuticals Mar 2019 - Aug 2019
Principal Statistician
Servier Canada Mar 2019 - Aug 2019
Senior Principal Statistician
Takeda Pharmaceuticals Aug 2016 - Mar 2019
Senior Statistician
Michigan Alzheimer's Disease Center Jan 2013 - Aug 2016
Research Assistant
University of Michigan 2011 - 2013
Research Assistant
Education:
University of Michigan 2007 - 2016
Doctorates, Doctor of Philosophy, Philosophy
University of Michigan 2005 - 2007
Masters
University of Vermont 2003 - 2005
Masters, Applied Mathematics
Fudan University 1999 - 2003
Bachelors, Applied Mathematics
Skills:
Statistics Biostatistics Missing Data Sas R Clinical Study Design Data Analysis Statistical Modeling Survival Analysis Longitudinal Data Analysis Bayesian Statistics Multivariate Analysis Item Response Theory Clinical Trials Pharmaceutical Industry Oncology
Amazon Web Services
Software Development Engineer
Cqc Intime Testing Technology Jul 2012 - Aug 2012
Testing Assistant
Education:
Carnegie Mellon University 2015 - 2016
Masters, Computer Engineering
Southeast University 2010 - 2014
Bachelors, Engineering
Skills:
Java Android Development Python C++ Play Framework Mysql Hbase Html Matlab C Docker Amazon Web Services Javascript Node.js Mongodb Express.js Angularjs
Ashlyn Bassiri - Ardmore PA, US Anuk Das - Wayne PA, US Susan Dillon - Bryn Mawr PA, US Karen Duffy - Trappe PA, US Jonathan Seideman - Southampton PA, US M. Mbow - King of Prussia PA, US Lars Karlsson - Lajolla CA, US Siquan Sun - San Diego CA, US Jian Zhu - San Diego CA, US Mark Cunningham - Kennett Square PA, US
International Classification:
A61K039/395 A61K048/00
US Classification:
424144100, 514044000
Abstract:
Cell surface TLR9 and TLR9 ligand binding agents are disclosed. The binding agents include antibodies and other proteins. The binding agents are useful as therapeutics, diagnostics or research reagents.
Estimating The Elevation Of A Wireless Terminal By Determining A Bias Of Pressure Measurement From A Probability Distribution
A location engine that generates an estimate of the measurement bias of the pressure sensor in a wireless terminal. The estimate is determined from a probability distribution characterized as having a flat top with exponentially decaying sides. The probability distribution is generated by inferring i) a range of elevations within which the wireless terminal is most likely present, wherein the elevations have associated barometric pressures, and ii) a corresponding range of measurement biases based on an inferred range of the barometric pressures. The location engine updates the probability distribution over time. The location engine makes a single estimate of measurement bias available by determining a mean of the updated probability distribution, such as an average of the low and high endpoints that define the flat top. Subsequently, the location engine generates an estimate of the elevation of the wireless terminal by accounting for the estimate of measurement bias.