About
Computational biologist with a PharmD and PhD in Bioinformatics, with interdisciplinary research experience in multi-omics integration, machine learning, infectious diseases, biomarker discovery, systems biology and computational drug discovery. My research has focused on integrating transcriptomics, metabolomics, clinical and epidemiological data with statistical and machine-learning approaches to investigate disease mechanisms and develop predictive models. I have worked extensively on malaria and dengue and have experience in molecular docking, molecular dynamics, network pharmacology and structural bioinformatics. My current research interests include antimicrobial resistance, bacterial genomics, multi-omics and AI-driven mechanistic prediction.
Employment
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Indian Institute of Chemical Technology Information Officer (P),EIACP Centre, Ministry of Environment, Forest and Climate Change (MoEFCC)2023 - 2026
Education
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Indian Institute of Chemical Technology PhD in Bioinformatics2022 - 2026
Projects & Funding
Projects & funding information is unavailable.
Publications (8)
- Mycosynthesised iron oxide nanoparticles using Apiospora aurea : Mitigating somatic and germline toxicity for safer biomedical applications Save
- Green synthesis of silver nanoparticles using Padina tetrastromatica against malaria and deciphering the mechanism through machine learning-driven metabolomics and network pharmacology Save
- Exploring potential gene signatures in dengue through machine learning and deep learning approaches Save
- Design and synthesis of Entadamide A derivatives targeting breast cancer: Insights into In silico, In vitro and In vivo models Save
- One-pot multi-component synthesis and biological evaluation of spirooxindole carbamate derivatives of major flavonoids isolated from oroxylum indicum: Identification of potent anti-proliferative leads active against hepatocellular carcinoma Save
- The synergistic effect of climatic factors on malaria transmission: a predictive approach for northeastern states of India Save
- Weather integrated malaria prediction system using Bayesian structural time series model for northeast states of India Save
- Modelling the impact of perfect and imperfect vaccination strategy against SARS CoV-2 by assuming varied vaccine efficacy over India Save