Research Experience

• Currently working on the synthesis, optimization and clinical validation of a Rapid AMR Diagnostic Kit (www.neev.bio)
• Coordinating multi-institutional partnerships with SCB Medical College and ILS Bhubaneswar for ethical approvals and patient sample acquisition.
• Under the mentorship of Dr. Mahesh to transition the kit from lab prototype to clinical application.

Student Research Intern, Dept. of Structural & Molecular Biology (SMB)

• Assisted in the computational modelling of protein structures and dynamics, utilizing tools such as AlphaFold, PyMOL, or Chimera to interpret structural data.
• Performed bioinformatic analysis on large datasets (e.g., genomic sequencing or proteomics data) to identify novel gene regulatory networks or metabolic pathways.
• Applied statistical models to analyze experimental results, ensuring robust data validation and reproducibility in research findings.
• Developing a database for Human Gut Microbiome named Microbe360. (But had to stop that project for funding issues)

Student Research Intern, Dept. of Computational Biology

• Utilized Python (Bio Python, Pandas) and Molecular Dynamics simulations to model complex protein-ligand interactions.
• Analysed high-throughput biological datasets to identify conserved structural patterns, contributing to the optimization of drug discovery algorithms.
• Collaborated with principal investigators to refine computational pipelines for genomic sequence alignment.

Research Intern

• Applied Machine Learning (ML) and AI algorithms to large biological datasets for cancer diagnosis, alongside molecular docking studies.
• Conducted research on multiple cancer cell lines, including MCF-7, A549, and HCT116, bridging computational models with biological data.
• Engaged in translational research by shadowing oncologists and interacting with patients to understand the impact of lifestyle and diet on cancer progression.
• Worked under the guidance of Dr. Snigdha R Choudhury.

Research Intern

• Successfully extracted and purified bioactive bacterial pigments - Prodigiosin (Serratia marcescens) and Violacein (Chromobacterium violaceum) for pharmaceutical analysis.
• Gained hands-on experience in analytical chemistry techniques, including Thin Layer Chromatography (TLC), Nuclear Magnetic Resonance (NMR), and GC-MS.
• Worked under the guidance of Dr. D.P. Barik & Dr. Alok Panda.

• Formulated the MDH to interpolate between global zero-density estimates and microscopic pair-correlation phenomena, focusing on vertical windows [T, T+H] with H = T^ε.
• Established Lindelöf-type bounds in mean and discussed heuristic support from Random Matrix Theory (GUE).
• Proposed rigorous computational tests capable of falsifying the hypothesis below current theoretical ranges.

• Authored "Refinements of Jensen's Inequality for Twice-Differentiable Convex Functions with Bounded Hessian."
• Derived tighter error estimates for Jensen's inequality, improving precision in mathematical analysis and convex optimization.
• Preprint: arXiv:2601.05030 [math.FA]

• Developed a sustainable biopesticide using Allicin (garlic) and Diallyl trisulfide (ginger) to mitigate locust infestations.
• Validated the mechanism as a potent acetylcholinesterase (AChE) inhibitor, inducing neuroexcitation in locusts to prevent crop damage without environmental toxicity.

• Characterized the bladder microbiome using 16S rRNA sequencing, revealing microbial dysbiosis in cancer patients.
• Identified Fusobacterium nucleatum as a potential non-invasive biomarker, observing specific elevation in phyla Firmicutes and Proteobacteria.