Suvam Roy - IceLab

Profile

Excellence by Choice Postdoctoral Fellow.

Modelling microbial gene regulation and evolution. Passionate about cinema as an art form.

One of the key questions in Microbiology is how bacteria adapt to stressful environments. Bacterial populations exposed to stress can accumulate mutations, resulting in possible adaptation towards a phenotype that can counter the stress. However, such mutations are mainly loss-of-function mutations that can lower their fitness. Therefore, how bacterial populations maintain their basic gene regulation under stressful conditions is a crucial question. In collaboration with Eric Libby and Peter Lind, Suvam aims to find answer to this question by developing mathematical models and carrying out computer simulations, that are informed by experimental data.

Suvam Roy is a Postdoctoral Researcher at the Department of Molecular Biology. He completed his Master’s degree in Physics from the University of Calcutta. Suvam then got a PhD in Mathematical Evolutionary Biology with Supratim Sengupta at the Indian Institute of Science Education and Research Kolkata, where he showed a plausible pathway for the emergence of primitive cells on the prebiotic Earth.

Current Projects

Microbial gene regulation under stressful environments (UCMR Excellence by Choice postdoctoral program)

with Peter Lind and Eric Libby

The Latest Posts

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Center for modeling adaptive mechanisms in living systems under stress

Center for modeling adaptive mechanisms in living systems under stress

FUNDING NEWS: Center for modeling adaptive mechanisms in living systems under stress at IceLab Martin Rosvall, together with Åke Brännström, Sebastian Diehl, Maria Fällman and Åsa Strand of IceLab have been [...]

Science’s communication problem – and a solution

Science’s communication problem – and a solution

Science's communication problem - and a solution! June 8, 2023 Watch Lunch Pitch Video Pitch 1: Atin Sharma: Science has a communication problem. Let’s do [...]

Secondary metabolite discovery and a plant wall biodesign opportunity

Secondary metabolite discovery and a plant wall biodesign opportunity

Secondary metabolite discovery and a plant wall biodesign opportunity May 25, 2023 Watch Lunch Pitch Video Pitch 1: Laura Carroll: Machine learning approaches for microbial [...]

Predicting gene expression, microproteins, and new tools

Predicting gene expression, microproteins, and new tools

Predicting gene expression, microproteins, and new tools May 11, 2023 Watch Lunch Pitch Video Pitch 1: Jian-Feng Mao: Predicting allele-specific gene expression (ASE) in poplar [...]

Algal photosynthesis, statistical tools, becoming Bayesian, and modelling cell shape.

Algal photosynthesis, statistical tools, becoming Bayesian, and modelling cell shape.

In search of collaborators to study algal photosynthesis, becoming Bayesian, cell shape and apply statistical tools. May 4, 2023 Five researchers pitched projects during the IceLab multidisciplinary postdoctoral project call information [...]

Conifers adapting to light and using autoencoders on zero-filled data

Conifers adapting to light and using autoencoders on zero-filled data

Conifers adapting to light and using autoencoders on zero-filled data April 27, 2023 Watch Lunch Pitch Video Pitch 1: Sonali Ranade: Adaptation in the Christmas [...]