Hello there!

I combine food web modelling and Bayesian statistics to quantify uncertainty in predictions. I am working with the allometric diet breadth model (ADBM) which predicts food web structure, and investigating how the composition and the quantity of different types of food web data affect the model (ADBM)'s predictions. I come from a mathematical background as my bachelors and masters degree was in Mathematics from IISER Kolkata, India. Broadly, I am interested in mathematical modelling and food webs.

In my Master studies, I worked with Rosenzweig-MacArthur model where I looked at how the dispersal structure of an ecological network influences the persistence of species. You can have more information about it here.

Being a modeller who works most of the time writing scripts in front of the computer, I do go out for hikes in the Swiss mountains.

Education and work experiences:


  • Anubhav Gupta, T. Banerjee and P. S. Dutta ”Increased persistence via asynchrony in oscillating ecological populations with long-range interaction”, Physical Review E, APS, Vol. 96 (4), 042202 (10), 2017. DOI: 10.1103/PhysRevE.96.042202

  • K. Chakraborty, Anubhav Gupta, A. A. Lotliker and G Tilstone, ”Evaluation of model simulated and MODIS-Aqua retrieved sea surface chlorophyll in the eastern Arabian Sea”, Estuarine, Coastal and Shelf Science, Vol. 181, 5 November 2016, Pages 61-69, ISSN 0272-7714. DOI: 10.1016/j.ecss.2016.08.002

  • T. Banerjee, P. S. Dutta and Anubhav Gupta ”Mean-field dispersion induced spatial synchrony, oscillation and amplitude death, and temporal stability in an ecological model”, Physical Review E, APS, Vol. 91, 052919-1-13, 2015. DOI: 10.1103/PhysRevE.91.052919

Programming language Expertise:

  • R: Using in my PhD research

  • Python: Used in master research

  • C: Used in master research

Contact me at : anubhav.gupta@uzh.ch