Biography
I am currently working as Chanakya Postdoctoral Fellow at Indian Statistical Institute, Kolkata, India. Before that I worked as Data Scientist-II at DCG Data-Core Systems (India), Kolkata for six months. I received my Ph.D from Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India on January, 2023. I spent two years as a Junior Research Fellow and four years as Senior Research Fellow Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India. My research interests include feature engineering (selection/extraction), pattern classification, deep generative models and its application on high volume data (e.g. bioinformatic data such as single cell data).
Work Experience
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Chanakya Postdoctoral Fellow - October 2023 to continuing
IDEAS Technology Innovation Hub, Indian Statistical Institute, Kolkata -
Data Scientist-II - January 2023 to June 2023
DCG Data-Core Systems, Kolkata, India -
Senior Research Fellow - July 2018 to December 2022
Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India. -
Junior Research Fellow - July 2016 to July 2018
Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India. -
Project Linked Personal - November 2013 to March 2014
Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India
Education
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PhD (Computer Science) - 2016-2022
Indian Statistical Institute, Kolkata, India
Thesis Title: Algorithms for Feature Selection: Structure Preservation, Scale Invariance, and Stability
Thesis Advisor: Prof. Sanghamitra Bandyopadhyay -
Master of Technology (Electronics and Tele Communication) - 2014-2016
Jadavpur University
Thesis advisors: Prof. Amit Konar
CGPA: 9.66 out of 10 -
Bachelor of Technology (Electronics and Communication) - 2009-2013
Narula Institute of Technology, West Bengal University of Technology
CGPA: 9.07 out of 10 -
Higher Secondary (Science) - 2007-2009
Sodepur Chandrachur Vidyapith, WBCHSE, West Bengal, India
Percentage of Marks: 85.8 -
Secondary - 2005-2007
Sodepur Chandrachur Vidyapith, WBSE, West Bengal, India Percentage of Marks: 88.12
Peer-Reviewed Journal Papers
"Deep variational graph autoencoders for novel host-directed therapy options against COVID-19"
S. Ray, S. Lall, A. Mukhopadhyay, S. Bandyopadhyay, and A. Schönuth,
Artificial Intelligence in Medicine, Volume 134, December 2022, 102418.
"A deep integrated framework for predicting SARS-CoV2–Human protein-protein interaction"
S. Ray, S. Lall, and S. Bandyopadhyay,
IEEE Transactions on Emerging Topics in Computational Intelligence, 2022, DOI: 10.1109/TETCI.2022.3182354.
"A topology preserving graph convolution network for clustering of single-cell RNA seq data"
S. Lall, S. Ray, and S. Bandyopadhyay,
PLoS Computational Biology, 18(3): e1009600, 2022.
"LSH-GAN enables in-silico generation of cells for small sample high dimensional scRNA-seq data."
S. Lall, S. Ray, S. Bandyopadhyay,
Communication Biology (Nature Group), 577, 2022.
"sc-REnF: An entropy guided robust feature selection for clustering of single-cell rna-seq data"
S. Lall, A. Ghosh, S. Ray, S. Bandyopadhyay,
Briefings in Bioinformatics, bbab517, 2022.
"RgCop-A regularized copula based method for gene selection in single cell rna-seq data"
S. Lall, S. Ray, S. Bandyopadhyay,
PLoS Computational Biology, 17(10): e1009464, 2021.
"CODC: A copula based model to identify differential coexpression"
S. Ray, S. Lall, and S.Bandyopadhyay,
npj System Biology and Applications, 6, 2020.
"Stable feature selection using copula"
S. Lall, A. Ghosh, D. Sinha, D. Sengupta, S. Bandyopadhyay,
Pattern Recognition, 107697, 2020.
"Structure- aware principal component analysis for single-cell rna-seq data"
S. Lall, D. Sinha, S. Bandyopadhyay, D. Sengupta,
Journal of Computational Biology 25, 1365-1373, 2018.
Conference Proceedings
"Deep variational graph autoencoders for novel host-directed therapy options against COVID-19"
S. Ray, S Lall, A Mukhopadhyay, S Bandyopadhyay and A Schönuth,
29th Conference on Intelligent Systems in Molecular Biology ISMB/ECCB 2021, COVID-19 special track.
"Identifying novel SARS-CoV2–human protein interactions using graph embedding"
S. Lall, S. Ray and S. Bandyopadhyay,
28th Conference on Intelligent Systems in Molecular Biology (ISMB-2020), COVID-19 special track, 2020.
"An l1-Norm Regularized Copula Based Feature Selection"
S. Lall and S. Bandyopadhyay,
ISCSIC 2019: 2019 3rd International Symposium on Computer Science and Intelligent Control (ACM), Amsterdam, Netherlands, Article No.: 30, pp 1–6, 2019.
"EEG based mind driven type writer by fuzzy radial basis function neural classifier"
S. Lall, A. Saha, A. Konar, M. Laha, AL Ralescu, K. Mallik, AK. Naga,
ISCSIC 2019: 2019 3rd International Symposium on Computer Science and Intelligent Control (ACM), Amsterdam, Netherlands, Article No.: 30, pp 1–6, 2019.
"An improved measure for data clustering in high dimensional space"
S. Lall, R. Lahiri, A. Konar, S. Ghosh,
International Conference on Microelectron Computing and Communications (MicroCom) (IEEE), Durgapur, India 1-5 (2016).