About Lab

Saikat's Lab, based at the Department of Biotechnology, Faculty of Life & Allied Health Sciences, Ramaiah University of Applied Sciences (RUAS) in Bengaluru, India. Our research focuses on Host-pathogen interactions in Tuberculosis, Mathematical & Systems Modeling, Infectious Disease Epidemiology, Immunological Dynamics, Machine learning in biomedical data. We are working on developing models for within-host dynamics of pathogens and investigating the progression from Mycobacterium tuberculosis (Mtb) infection to Tuberculosis (TB). This involves creating epidemiological models to understand the protective effects of prior Mtb infection and identifying individuals who would benefit most from preventative treatments. Our research also explores T cell dynamics and the integration of experimental data into model construction, using techniques like R, Python for model fitting. Our lab is dedicated to advancing TB control through simulations that evaluate public health interventions, such as vaccination and treatment adherence programs. We also aim to integrate mathematical modeling with biomedical science to enhance Translational Research, ultimately benefiting societal health outcomes.

Teaching

• Bioinformatics
• Mathematical Biology
• Immuno-informatics

Research Interests

Team

• Anuja Jatti – M.Sc.

Grants

• Updated soon...

Open Position

• PhD
• Masters
• Postdoc
• Openings are available. Candidates with a background in mathematics, applied mathematics, bioinformatics, or related fields are encouraged to apply. Please send your CV, a brief statement of interest, and transcripts to the mail id of Dr. Saikat Batabyal.

Publications

• Saikat Batabyal, Kevin Urdahl, Vitaly V Ganusov (2025). Potential limitations of community-wide strategy to treat Mycobacterium tuberculosis infection. (Communicated soon…) .
• Saikat Batabyal, Chakraborty, D, Ganusov, V (2024). A brief overview of mathematical modeling of the within-host dynamics of Mycobacterium tuberculosis. Frontiers in Applied Mathematics and Statistics. [DOI]
• Saikat Batabyal (2021). COVID-19: Perturbation dynamics resulting chaos to stable with seasonality transmission. Chaos, Solitons & Fractals. [DOI]
• Saikat Batabyal et.al (2021). Mathematical computations on epidemiology: A case study of the novel coronavirus (SARS-CoV-2). Theory in Biosciences. [DOI]
• Saikat Batabyal et.al (2021). Diffusion driven finite time blow-up and pattern formation in a mutualistic preys-sexually reproductive predator system: A comparative study. Chaos, Solitons & Fractals. [DOI]
• Saikat Batabyal et.al (2020). Explosive predator and mutualistic preys: A comparative study. Physica A: Statistical Mechanics and its Applications. [DOI]
• Saikat Batabyal et.al (2021). Pattern formation in an explosive food chain model: the case of “apparent” mutualism. The European Physical Journal Plus. [DOI]
• Saikat Batabyal et.al (2021). Public healthcare system capacity during COVID‐19: A computational case study of SARS‐CoV‐2. Health Science Reports. [DOI]