bioinformatics

Modeling in the Time of COVID-19: Statistical and Rule-based Mesoscale Models

1 min read · Wed, May 6 2020

visualization computer graphics bioinformatics

We present a new technique for rapid modeling and construction of scientifically accurate mesoscale biological models. Resulting 3D models are based on few 2D microscopy scans and the latest knowledge about the biological entity represented as a set of geometric relationships. Our new technique is based on statistical and rule-based modeling approaches that are rapid to author, fast to construct, and easy to revise. From a few 2D microscopy scans, we learn statistical properties of various structural aspects, such as the outer membrane shape, spatial properties and distribution characteristics

Deng Luo

Ph.D. Student, Computer Science

bioinformatics artificial intelligence nanovisualization

Deng Luo is a Ph.D. Candidate in the Computer Science program under the supervision of Professor Ivan Viola at the Visual Computer Center (VCC) at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia. Education and Early Career Deng Luo earned his Bachelor's degree in Bioinformatics from Southern University of Science and Technology in Shenzhen, China in 2016. He has a multidisciplinary background, including bioinformatics, molecular biology, computer science, and entrepreneurship. He joined KAUST and received his Master's degree in Bioscience in 2019. Deng was trained as