Tianxiao Huang's Email & Phone Number

💼 Past Experience

superficial write-up:Tianxiao Huang is currently a Sr. Modeling Scientist at Quantcast from January 2017 to July 2017 (7 months) in San Francisco Bay Area. Huang also has experience in modeling cross device joins and conducting product catalog research. Huang is focused on improving and scaling in-house video product. Huang is a Modeling Engineer/Scientist at Quantcast from June 2013 to December 2016 (3 years 7 months) in San Francisco Bay Area. Huang is a Designer and Productionizer at Twitter from July 2017 to June 2020 (3 years). Huang is a Research Assistant - Machine Learning at Columbia University, Biostatistics Department from September 2012 to March 2013 (7 months) in Greater New York City Area. Huang was also a Research Assistant - PKPD & Biostatistics at Peking University Pharmacokinetics Lab from February 2011 to July 2011 (6 months) in Beijing, China. Huang is focused on conducting population pharmacokinetics research on 274 osteosarcoma individuals. Huang established a population pharmacokinetics model in NONMEM to study how each factor affects the concentration of the drug. Huang evaluated the model using diagnostic plots and Bootstrap method in R. HuangCollaborated with pharmacists on the effectiveness of model and generated basic report.

🎓 Education

Tianxiao Huang obtained her bachelor's degree inFaculties of Kinesiology and Health Promotion, from Beijing No.8 Middle School in 2003. She then graduated from Columbia University in New York City in 2011 with a Master of Science degree in Biostatistics. Huang obtained her bachelor's degree in Pharmacy from Peking University in 2007. Huang is currently a graduate student in the Department of Computer Science at Georgia State University, where she is pursuing a Master of Science degree in Online Computer Science with a focus on Healthcare Applications.

💡 Technical & Interpersonal Skills

Tianxiao Huang has wide experience in product engineering,branded engineering, and data analysis. He has also degree in engineering from Chinese university and 6 months experience in drug therapy development. In his previous job, he was responsible for developing and executing a new scalable scoring pipeline. Huang has also written two US patents and submitted two US patents. Huang is also experienced in machine learning, antibiotic therapy, and population pharmacokinetics.