#Jing huang code

With an enthusiasm for force field optimization and a postdoctoral fellowship from Swiss National Science Foundation on “Improving force field with NMR and pKa data”, I moved to US in 2012 to work with Alex MacKerell at the Computer-Aided Drug Design Center in University of Maryland School of Pharmacy. I spent four years to obtain my Ph.D from the Department of Chemistry in University of Basel, and stayed another half year as a postdoc in the group to finish some great Monte Carlo simulations as well as to travel around the Europe. I enjoyed my time in Basel with good collaboration with organic chemists and exposure to a lot of knowledge about drug design and pharmaceutical industry.

#Jing huang code

I flied to Basel, Switzerland immediately after my graduation ceremony at Tsinghua, and started my PhD study by writing a fortran code from scratch to run molecular dynamics simulations. I got my Bachelor degree in 2005 and Master degree in 2007 from the Department of Physics in Tsinghua University. I was born in 1984 in Nanchang, a nice city in South China, and lived there until 2001 when I left home for college in Beijing. ‣ Camille- und Henry-Dreyfus Stipendien, University of Basel, 2011 Short Bio

‣ SNF Fellowship for Prospective Researcher, Swiss National Science Foundation, 2012 - 2014 in Physics, Tsinghua University, 2001.09 - 2005.07 Awards in Chemistry (summa cum laude), University of Basel, 2007.08 - 2011.08 ‣ Postdoc in Laboratory of Computational Biology at the National Heart, Lung, and Blood Institute, National Institutes of Health, 2015.03 - 2017.09 ‣ Postdoc in Computer-Aided Drug Design center, School of Pharmacy, University of Maryland Baltimore, 2012.04 - 2017.09 locations.‣ Principal Investigator, Westlake University, 2017.11 - now These projections were able to detect the transmission trends and identify surges earlier than most other models, including predicting the massive June 2020 surge in Houston, Texas, and the somewhat unexpected 2021 summer surges in many other southern U.S. The models also informed PolicyLab Director’s engagement with the Governor’s crisis team in Pennsylvania and with local and county officials throughout the Commonwealth. This study has received national attention and has been used by the White House Coronavirus Task Force to inform their state-level guidance during the first year of the pandemic. counties, and projects weekly incidence rates per population and for more than 800 counties.

His earlier work has contributed to resolving a. It has been and continues to track coronavirus transmission, hospitalization, and test positivity rates across all U.S. Huang has extensive experience in transcriptional and epigenetic regulation in stem cells and cancer. This group is the first in the United States to model county-level COVID-19 transmission levels across the entire country. Huangs research focuses on methodology development to understand the dynamics of disease activities and inform health. Huang has been leading the statistical modeling of infectious disease transmission (COVID-Lab: Mapping COVID-19 In Your Community) at the PolicyLab in CHOP since the start of the COVID-19 pandemic. Huang works in several exciting research areas, including risk prediction of adverse events in congenital heart disease patients using registry, hospital and claims data, dynamic intervention-based on mobile health data, knowledge discovery using electronic health records data, pharmacovigilance using safety reports from the Food Drug Administration and Centers for Disease Control and Prevention funded post-market surveillance systems, and evidence generation in pediatric distributed research networks.ĭr. She is currently the PI of a R01 project for characterizing disease trajectory and an MPI of a Patient-Centered Outcomes Research Institute (PCORI) funded project for data integration from different institutions. Huang’s research focuses on methodology development to understand the dynamics of disease activities and inform health management using multivariate longitudinal health data.