During my PhD at IIT Hyderabad, I develop computational approaches to colorectal cancer theranostics, working across transcriptomics, genomics, Hi-C and clinical datasets from TCGA and DepMap cohorts. My work spans drug repurposing, prognostic modeling, and multi-omics subtype discovery — published in ACS Omega (2024) and Briefings in Bioinformatics (2025).
I am eager to contribute to postdoctoral research in spatial transcriptomics, single-cell multi-omics, and clinical cancer genomics within collaborative environments.
ACS Omega, Briefings in Bioinformatics, eLife, Frontiers
SLURM-based end-to-end bioinformatics workflows
Institute Research Excellence, IIT Hyderabad 2025
Built quantitative structure–activity relationship (QSAR) and SVM-based predictive models using DepMap/GDSC2 cell line data to identify repurposable drugs and design novel candidates for colorectal cancer.
Published — ACS Omega, 2024Developed a two-step machine learning framework using non-apoptotic regulated cell death pathways combined with transcriptomics and clinical data for prognostic risk stratification of CRC patients.
Published — Briefings in Bioinformatics, 2025Designing deep learning and multi-omics clustering workflows integrating linear and structural omics layers to uncover novel molecular subtypes of colorectal cancer.
OngoingAvik Sengupta, S.K. Singh, R. Kumar
DOI LinkAvik Sengupta, S.S. Kar, R. Kumar
DOI LinkIdentification of key hub genes in pancreatic ductal adenocarcinoma
Bhattacharjee K, Sengupta A, Kumar R, Ghosh A — Frontiers in Bioinformatics, 2025
DOIArtificially inserted strong promoter containing multiple G-quadruplexes induces long-range chromatin modification
Roy SS, Bagri S, ..., Sengupta A, ... Chowdhury S — eLife, 2024
DOIAMLdb: a comprehensive multi-omics platform for acute myeloid leukemia
Vinod Kumar K, ..., Sengupta A, et al. — Briefings in Functional Genomics, 2024
DOIDeep learning-based classifier of diffuse large B-cell lymphoma cell-of-origin
Viswanathan A, Kundal K, Sengupta A, et al. — Briefings in Functional Genomics, 2023
DOIMyeloDB: a multi-omics resource for multiple myeloma
Kumar A, ..., Sengupta A, et al. — Functional & Integrative Genomics, 2024
DOIAagingBase: a comprehensive database of anti-aging peptides
Roffin K, ..., Sengupta A, et al. — Database, 2024
DOIAdvancement of in silico tools for stem cell research
Kumar A, ..., Sengupta A, Kumar R — Computational Biology for Stem Cell Research, Academic Press, 2024
Drug Repurposing-1
Korra BT, ..., Sengupta A, Kumar R — Springer Handbook of Chem- and Bioinformatics, Springer, 2025
Available for postdoctoral opportunities in computational cancer biology, multi-omics integration, and clinical genomics research.
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