Dr Samik Datta

Position:

Population Modeller

Phone:

+64-4-386-0522

Location:

Wellington

Science Centres:

Fisheries

Qualifications:

2.1 (Hons) M.Sci Natural Sciences (Maths with Chemistry), University of Durham, UK (2003 - 2007)
Ph.D. 'A mathematical analysis of marine size spectra', Department of Biology, University of York, UK (2008 - 2011).

Biography:

Overview

My area of focus is mathematical modelling and simulation of biological systems. This involves a combination of analytical mathematical methods and simulation-based studies. My experience lies largely in modelling life processes in marine ecosystems (including growth, death, predation, reproduction and movement), and modelling the spread of infection and disease over space and time (epidemiology).

Background

My background is in mathematical modelling and simulation. After completing my undergraduate Masters in Natural Sciences (Maths with Chemistry) at the University of Durham (UK), I did my Ph.D. at the University of York (UK)on developing size-based models of marine ecosystems. The work was a combination of mathematical methods and simulation-based studies.

Following this I spent just over five years at the University of Warwick as a postdoctoral research associate, applying mathematics to the spread of infectious diseases (epidemiology), to predict how different infections transmit, and testing the effectiveness of different control strategies. I worked on a project studying the spread of infections in honeybees for two years, along with assessment of alternative management strategies to combat further spread and new incursions of foreign pests and pathogens. Following this I worked with the UK Department of Health on modelling the effects of varying national vaccination strategies, and the associated cost-benefit analyses, for infections such as human papillomavirus (HPV) and whooping cough. The work has contributed to decision making on national vaccination programmes.

I moved from the UK and started work at NIWA Wellington, in the Fisheries Modelling team (now Population Modelling), in April 2017.

Current projects

I am currently involved in a wide range of projects, mostly under the broad umbrella of 'population modelling'. Examples of my current work include:

Habitat bottlenecks: Modelling the growth, survival and movement of fish larvae in the coastal waters of New Zealand with varying habitat types; empirical data will be fed in from a range of studies carried out at three sites (Hauraki Gulf, East Northland and the Marlborough Sounds)
Invasive species modelling: Parameterising the spread of 12 different foreign species present in New Zealand coastal waters, such as the Mediterranean fanworm (Sabella spallanzanii) and the Asian paddle crab (Charybdis japonica), and simulating likely future spread (this information will be fed into economic analyses to estimate the cost impact of these species on local economies).
Casal2 software development: Contributing to code development, unit tests, and dealing with issues with the program for stock assessments.
Size-based ecosystem modelling in the Chatham Rise: Designing a size-structured model, taking into account the important pelagic species in the Chatham Rise, to validate the results of analogous models already produced using ATLANTIS and ECOPATH.
Albacore tuna characterisation: Characterisation of the albacore fishery in New Zealand, using time series data on historical fishing catches.
Spatial modelling of tuna in the Indian Ocean: Implementing in-house software (Spatial Population Model (SPM)) to model the movement and population sizes of a range of tuna species in the Indian Ocean.

Articles:

Datta S., Mercer C.H. and Keeling M.J., 2018. Capturing sexual contact patterns in modelling the spread of sexually transmitted infections: evidence using Natsal-3. PLOS One 13(11): e0206501.
Chapman L.A.C., Jewell C.P., Spencer S.E.F., Pellis L., Datta S., Chowdhury R., Bern C., Medley G.F. and Hollingsworth, T.D., 2018. The role of case proximity in transmission of visceral leishmaniasis in a highly endemic village in Bangladesh. PLOS Neglected Tropical Diseases 12(10): e0006453.
Barons M.J., Hanea A.M., Wright S.K., Baldock K.C.R., Wilfert L., Chandler D., Datta S., Fannon J., Hartfield C., Lucas A., Ollerton J., Potts S.G. and Carreck N.J., 2018. Assessment of the response of pollinator abundance to environmental pressures using structured expert elicitation. Journal of Apicultural Research 57:5, 593-604.
Keeling M.J., Franklin D.N., Datta S., Brown M.A. and Budge G.E., 2017. Predicting the spread of the Asian hornet (Vespa velutina) following its incursion into Great Britain. Nature Scientific Reports 7, no. 6240.
Keeling M.J., Datta S., Franklin D.N., Flatman I., Wattam A., Brown M.A. and Budge G.E., 2017. 'Efficient use of sentinel sites: detection of invasive honeybee pests and diseases in the UK. Journal of the Royal Society Interface 14(129), no. 20160908.