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Prashanth Athri
PeerJ Author
100 Points

Contributions by role

Author 100

Contributions by subject area

Theoretical and Computational Chemistry
Biophysical Chemistry

Prashanth Athri

PeerJ Author

Summary

Dr. Prashanth Athri currently serves as Associate Professor at the Department of Computer Science, School of Engineering, Bengaluru. He has worked at Strand Life Sciences, Bengaluru as a Senior Specialist (bioinformatics data analytics), and has held post-doctoral fellowships EPF Lausanne, Switzerland & Emory University, Atlanta, USA. He received his Ph. D. in Computational Chemistry and Bioinformatics (minor) at Georgia State University, preceded by M. S. in Computer Science and Bioinformatics (minor). He develops AI algorithms to build hypotheses in the area of new generation drug discovery. His research interests also spans big data analytics of bioinformatics data towards application in the personalized medicine space. He conducts research into the application of semantic web technologies, database integration and parallalized searches to enable data centered knowledge mining in this field.

Algorithms & Analysis of Algorithms Artificial Intelligence Bioinformatics Biophysical Chemistry Chemometrics Computational Biology Computer Aided Design Data Mining & Machine Learning Data Science Databases Theoretical & Computational Chemistry

Work details

Associate Professor

Amrita Vishwa Vidyapeetham
Computer Science
Dr. Prashanth Athri currently serves as Associate Professor at the Department of Computer Science, School of Engineering, Bengaluru. He has worked at Strand Life Sciences, Bengaluru as a Senior Specialist (bioinformatics data analytics), and has held post-doctoral fellowships EPF Lausanne, Switzerland & Emory University, Atlanta, USA. He received his Ph. D. in Computational Chemistry and Bioinformatics (minor) at Georgia State University, preceded by M. S. in Computer Science and Bioinformatics (minor). His research interests include big data analytics of bioinformatics data towards application in the personalized medicine space. He conducts research into the application of semantic web technologies, database integration and parallalized searches to enable data centered knowledge mining in this field. He also develops evolution inspired algorithms to build hypotheses in the area of new generation drug discovery.

Websites

  • Google Scholar

PeerJ Contributions

  • Articles 1
June 22, 2020
Laplacian score and genetic algorithm based automatic feature selection for Markov State Models in adaptive sampling based molecular dynamics
Anu George, Madhura Purnaprajna, Prashanth Athri
https://doi.org/10.7717/peerj-pchem.9