Professor Dan Millimet, Dept. of Economics, discusses the problem with noisy data, and the problems it causes in making inferences
https://causalscience.org/blog/measurement-error-can-be-a-serious-problem-for-causal-inference
Category: World Changers Profiles
Eric Godat and Rob Kalescky discuss how they helped get us back on campus during Fall 2020 in the midst of Covid
Dr. Eric Godat and Dr. Rob Kalesky, both of SMU’s Office of Information Technology, were given the job of determining how to schedule classes in available rooms on campus in Fall 2020,while allowing students and faculty to maintain social distancing. They discuss the scheduling algorithm they developed to meet the criteria set by the administration.
Shen Yin and Sherry Wang discuss their research on normalizing RNA data and their collaboration with medical scientists
Shen Yin recently successfully defended his dissertation for the Ph.D. in Biostatistics under the direction of Professor Sherry Wang of the Statistical Science Department. Dr. Shen and Dr. Wang developed a new method to process RNA from tissues that do not have to be kept frozen, making them cheaper and easier to maintain and transport to labs (Yin, S., Wang, X., Jia, G., and Xie, Y. (2020). MIXnorm: Normalizing Gene Expression Data from RNA Sequencing of Formalin-Fixed Paraffin-Embedded Samples. Bioinformatics). Their method produces more accurate results about gene expression from the RNA than other methods currently available. Extracting gene expression information has proven useful in understanding and treating many conditions in humans, so is of critical importance in medical research. Listen to Shen and Sherry describe their research, the process of interdisciplinary collaboration, and provide a tour of their tool that performs the processing.