Sutanu Bhattacharya joined Florida Poly as an assistant professor in the Department
of Computer Science in 2021. Before joining Florida poly, he was a graduate teaching
and research assistant at Auburn University (2017-21). He earned his Ph.D. in computer
science and software engineering from Auburn University under the supervision of Dr.
Debswapna Bhattacharya. He also worked as an assistant professor in the Department
of Computer Science at Chaibasa Engineering College, India (2014-17).
Fellowship Award, 29th Intelligent Systems for Molecular Biology/20th European Conference
on Computational Biology (ISMB/ECCB), 2021
Highlight Talk, ACM-BCB conference, 2021 and 2019
Best Poster Award, 11th ACM-BCB conference, 2020
Young Research Excellence Award (2nd place), 16th Midsouth Computational Biology &
Bioinformatics Society (MCBIOS), 2019
Front Cover Article (July issue), PROTEINS: Structure, Function, and Bioinformatics
journal, 2019
National Scholarship, All India Council for Technical Education, 2012-2014
Ph.D. in Computer Science and Software Engineering, Auburn University, 2021
M.S. in Distributed and Mobile Computing, Jadavpur University, 2014
B.S. in Information Technology, West Bengal University of Technology, 2011
Computational Biology
Deep Learning in Bioinformatics
Data Science in Bioinformatics
Reviewer for Nature Scientific Reports, IEEE-BIBM conference.
Member, International Society for Computational Biology (ISCB), 2021-
Kryshtafovych, A., …, Bhattacharya, S.*, …, Zheng, W. (2021). Modeling SARS-CoV2 proteins
in the CASP-commons experiment. Proteins: Structure, Function, and Bioinformatics,
https://doi.org/10.1002/prot.26231
Bhattacharya, S.*, Roche, R., Shuvo, M. H., & Bhattacharya, D. (2021). Recent Advances
in Protein Homology Detection Propelled by Inter-Residue Interaction Map Threading.
Frontiers in Molecular Biosciences, 8. https://doi.org/10.3389/fmolb.2021.643752
Roche, R., Bhattacharya, S. *, & Bhattacharya, D. (2021). Hybridized distance- and
contact-based hierarchical structure modeling for folding soluble and membrane proteins.
PLOS Computational Biology, 17(2), e1008753. https://doi.org/10.1371/journal.pcbi.1008753
Bhattacharya, S. *, Roche, R., & Bhattacharya, D. (2020). DisCovER: Distance- and
orientation-based covariational threading for weakly homologous proteins. BioRxiv,
2020.01.31.923409. https://doi.org/10.1101/2020.01.31.923409
Shuvo, M. H., Bhattacharya, S. *, & Bhattacharya, D. (2020). QDeep: Distance-based
protein model quality estimation by residue-level ensemble error classifications using
stacked deep residual neural networks. Bioinformatics, 36(Supplement_1), i285–i291.
https://doi.org/10.1093/bioinformatics/btaa455
Bhattacharya, S. *, & Bhattacharya, D. (2020). Evaluating the significance of contact
maps in low-homology protein modeling using contact-assisted threading. Scientific
Reports, 10(1), 2908. https://doi.org/10.1038/s41598-020-59834-2
McGehee, A., Bhattacharya, S. *, Roche, R., & Bhattacharya, D. (2020). PolyFold: An
interactive visual simulator for distance-based protein folding. PLOS ONE, 15(12):
e0243331. https://doi.org/10.1371/journal.pone.0243331
Bhattacharya, S. *, & Bhattacharya, D. (2019). Does inclusion of residue-residue contact
information boost protein threading? Proteins: Structure, Function, and Bioinformatics,
87(7), 596–606. https://doi.org/10.1002/prot.25684
