Bioengineering and Bioscience

Researcher Looks to Future of Computing through Human Visual Cortex

Nabil Imam presents a chip system design inspired by the visual cortex to simulate parts of the brain

New Hybrid Machine Learning Framework Extends Range of Accurate Epidemic Forecasting

Researchers at Georgia Tech’s School of Computational Science and Engineering (CSE) have developed EINNs, Epidemiologically-Informed Neural Networks

Biomedical Analytics Research Earns Team Gordon Bell Prize Nomination

Computational scientists have developed the first ever algorithm to run over one exaflop on a graph artificial intelligence demonstration.

Faculty Uses Computation to Understand Cellular Mechanisms

CSE Assistant Professor discusses her passion for merging computational research with biology-focused problems.

Machine Learning Tool May Help Us Better Understand RNA Viruses

Georgia Tech researchers have created an end-to-end deep learning algorithm that is able to more effectively and quickly sequence RNA secondary structures.

Mark Borodovsky Elected as ISCB Fellow

The Fellows program of ISCB (International Society for Computational Biology) was created to honor members who have distinguished themselves through outstanding contributions to the fields of computational biology and bioinformatics.

Three Georgia Tech Faculty Named IEEE Fellows

Georgia Tech faculty members Stanislav Emelianov, Richard Fujimoto, and Vivek Sarkar have been named IEEE Fellows, the society’s highest grade of membership, effective January 1, 2020.


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