Next Data Science Seminar to Focus on Using Data Analysis for COVID-19 Drug Discovery

November 6, 2020 | COVID-19, Events, News, UToday, Natural Sciences and Mathematics
By Staff

The next presentation in an ongoing University of Toledo Department of Mathematics and Statistics seminar series dedicated to exploring the COVID-19 pandemic through data analysis will focus on drug discovery.

The free, public event will take place today from 3 to 4 p.m. and can be accessed on Zoom by using the access code 817 3788 3220. The meeting password is 086486.

Dr. Robert McCullumsmith, professor and chair of the Department of Neuroscience in the College of Medicine and Life Sciences, will discuss how data analysis can be used to identify drugs that are potential candidates for treating COVID-19.

The event is part of a series of free, public virtual seminars hosted by the Data Science Seminar devoted to the role of data analysis in understanding the COVID-19 pandemic.

The Data Science Seminar was launched in the spring of 2019 and is led by Dr. Qin Shao, professor in the Department of Mathematics and Statistics.

“We wanted to foster an in-depth understanding of the pandemic through the lens of data science,” Shao said. “By bringing in experts from across the University, we are hoping to both put our knowledge of COVID-19 into context and explore interdisciplinary collaboration opportunities in both education and research in Data Science.”

Earlier COVID-19 seminars included a data analysis of Ohio’s mortality rate from Shao and an overview of statistics about transmission of the disease and the effectiveness of social distancing and masks from Dr. Sadik Khuder, professor of Medicine in the College of Medicine and Life Sciences.

Additional seminars are planned. For more information, contact Shao at

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