Bioengineering and Bioscience

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.

Hive Supercomputer Makes its Debut

Hive is the new $5.3 million high-performance computing system housed in Coda. Hive is now the largest HPC resource Georgia Tech owns and will support data-driven research in astrophysics, computational biology, health sciences, computational chemistry, m

Identifying Differences in Disease-causing Genomes Just Went from a Few Days to a Few Hours

CSE Ph.D. Chirag Jain developed the first multi-core parallel algorithm that is capable of aligning a DNA sequence to a complex genome graph.

Georgia Tech and NIH Create a New Method that Quickly Defines Microbial Species Boundaries

CSE Ph.D. student Chirag Jain and CSE Professor Srinivas Aluru, along with a team of researchers from Georgia Tech and NIH, have created a new method that can quickly identify microbial organisms.

New Deep Learning Approach Improves Access to Sleep Diagnostic Testing

CSE Associate Professor Jimeng Sun and Ph.D. student Siddharth Biswal are part of a research team with Massachusetts General Hospital that have created a deep learning algorithm to perform sleep diagnostic testing.


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