STATISTICS COLLOQUIUM
Donghui Zhang
Sanofi, U.S.
Statistical Collaborations in Drug Discovery - Challenges and Opportunities
New drug discovery is a lengthy, expensive and challenging process from target identification to clinical trials in patients. In this talk, I will provide high level overview of various steps in the drug discovery process. Then, I will get into some details of these steps including their scientific objectives, scientific approaches used, the statistical issues involved. Most importantly, I will illustrate how statisticians can contribute significantly throughout the whole process
Bio: Dr. Donghui Zhang is the head of Translational Medicine and Preclinical Biostatistics at Sanofi North American Hub. She has over 20 years of pharmaceutical industry experiences at Merck and Sanofi. She has more than 40 publications in peer reviewed statistical and scientific journals.
Xiwen Ma
Sanofi, U.S.
Some Statistical Issues in Biomarker Identification for Clinical Study
For pharmaceutical interventions, it's well known that the strategy of one-size fits all is hardly applicable to most common and rare diseases. With recent advances in biological science, personalized medicine and biomarker identification have become a very hot topic in pharmaceutical industry. In this talk, we present several statistical challenges in biomarker research for clinical study. Novel statistical methods were developed to address these issues.
Bio: Dr. Xiwen Ma was graduated from the department of statistics at University of Wisconsin-Madison. He joined Sanofi on March 2015. He has worked in the pharmaceutical industry for more than 6 years in both pre-clinical and clinical statistics. He has extensive experience in different therapeutic areas including oncology, neuroscience and rare diseases. His primary research interests are personalized medicine and biomarker identification.
DATE: Wednesday, April 12, 2017
TIME: 4:00 pm
PLACE: Philip E. Austin Bldg., room 105
Coffee will be served at 3:30 in the Noether Lounge (AUST 326)
For more information, contact: Tracy Burke at tracy.burke@uconn.edu