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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Atlanta, GA | Posted: August 20, 2019
Kristen Perez
Communications Officer
Summary Sentence:
Three new faculty joined the School of CSE
Full Summary:
No summary paragraph submitted.
CSE New Faculty Fall 2019Three new faculty members are set to join the School of Computational Science and Engineering (CSE) this year. The trio come from a diverse research background including computational biology, data science, and machine learning. The incoming faculty are Associate Professor Elizabeth Cherry, Assistant Professor Srijan Kumar, and Assistant Professor Xiuwei Zhang.
Cherry joined CSE August 2019 after teaching at the School of Mathematical Sciences at the Rochester Institute of Technology. While at the Rochester Institute, she found her researching stride in computational biology with a focus on cardiac electrophysiology and arrhythmias.
According to Cherry, “Sudden death is secondary to ventricular fibrillation and remains a leading cause of mortality in the United States. And the occurrence of atrial fibrillation, which is responsible for about 15 percent of all strokes, continues to rise.”
In efforts to address this issue, Cherry utilizes mathematical modeling and simulation of the electrical dynamics of cardiac cells and tissue. This field of research is highly interdisciplinary and requires expertise in a number of sub-fields, including modeling, computational algorithms, scientific applications, and advanced interactive visualization.
She has won numerous awards and recognitions for her work in this field, including:
Kumar will join CSE Jan. 2020 after working as a postdoctoral researcher at the Computer Science Department at Stanford University where he specialized in machine learning and data science with applications in social media, graph mining, cybersecurity, and social computing.
While at Stanford, his research group focused on machine learning for the web, creating network science, data science, and social computing models with the goal of enabling useful, safe, and trustful cyberspaces.
According to Kumar, “Our models extract knowledge from complex interactions between multimodal entities, such as users and content, in web-scale online social systems for better decision making. Our trust, safety, and integrity models are being used at major tech companies, including Wikipedia, Reddit, and Flipkart. Our research has also been widely covered by the popular press, including CNN, The Wall StreetJournal, Wired, and New York Magazine.”
Kumar has won several distinguishing honors for his research in these areas, including:
Zhang joined CSE Aug. 1, 2019 after working as a postdoctoral researcher in the Electrical Engineering and Computer Sciences Department at U.C. Berkeley. Zhang’s research focuses on data science, method development, and data analysis with an emphasis on computational biology.
While at Berkeley, her time centered on two different projects, each using single-cell sequencing. One project, called SymSim, published in the Nature Communicationsjournal, developed a simulator to model processes observed during single cell RNA sequencing experiments.
According to Zhang, the SymSim simulates single cell RNA data which allows researchers to benchmark various computational methods.
“What we really want to understand is what is controlling all the changes in the cells and track their differences,” she said. “On a mechanism level, we need to not only look at the RNA sequencing data but also integrate other types of data such as protein analysis.”
Zhang has won several distinguishing awards in the areas of computational biology and data anlysis, including:
