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University of Cambridge Conservation Research Institute

 

Biography

Soumya Banerjee is a researcher in ethical artificial intelligence applied to complex systems. He applies artificial intelligence techniques to solve human problems. He is also very passionate about outreach, science communication and policy for using science for social good.

My research uses data science for social good and answer questions about complex systems.

Complex systems are all around us, from social networks to transportation systems, cities, economies and financial markets.

I use data science to derive insights into diverse complex systems ranging from socio-economic systems to biological systems like the immune system. I am very passionate about citizen driven data science for social good.

I have used data to help highlight social inequalities and help guide development of impoverished nations (https://link.springer.com/chapter/10.1007/978-3-319-45901-1_7).

I have also used machine learning techniques to investigate outbreaks of emerging infectious diseases like West Nile virus (https://royalsocietypublishing.org/doi/full/10.1098/rsif.2017.0479).

Data science has the potential to change human life and the complex systems that surround us: from social networks to transportation systems, cities, economies and financial markets. Using data science to understand these complex systems, may lead to solutions for problems ranging from famines, global crises, poverty, climate change and sustainable living despite over-population.

Soumya Banerjee has a PhD in Computer Science. He analyzes complex problems and implements new statistical and machine learning techniques for deriving insights from large amounts of data. He works closely with people from other domains.

His research uses analytics and data science to answer questions about complex systems. He studies immune systems, ant colonies, gut microbes, intra-cellular signaling networks and human societies.

Complex systems are all around us: from social networks to transportation systems, cities, economies and financial markets. Understanding these complex systems may lead to solutions for problems ranging from famines, global crises, poverty, climate change and sustainable living despite over-population.

Publications

Key publications: 

Influence of correlated antigen presentation on T cell negative selection in the thymus, S. Banerjee, S.J. Chapman, Journal of the Royal Society Interface, 15(148), 20180311, 2018 (Impact Factor = 3.9) *

Modelling the effects of phylogeny and body size on within-host pathogen replication and immune response, S. Banerjee, A. Perelson, M. Moses, Journal of the Royal Society Interface, 14(136), 20170479, 2017 (Impact Factor = 3.9) *

Towards a Quantitative Understanding of Within Host Dynamics of West Nile Virus Infection, S. Banerjee, J. Guedj, R. Ribeiro, M. Moses & A. Perelson, Journal of the Royal Society Interface, 13(117), 20160130, 2016 (Impact Factor = 3.9)

Teaching and Supervisions

Research supervision: 

Soumya Banerjee is a researcher in ethical artificial intelligence applied to complex systems. He applies artificial intelligence techniques to solve human problems. He is also very passionate about outreach, science communication and policy for using science for social good.

Geographical region

South East Asia
Postdoctoral Research Assistant

Affiliations

Classifications: 
Research keywords: 
Epidemiology
Public Health
Biodiversity
Ecosystems
Modelling