research interest is in computational immunology. I use techniques from
computer science to solve problems in immunology and take inspiration from
the immune system to solve problems in computer science.
techniques from computer science to solve problems in immunology.
use machine learning techniques to solve problems in biology, especially
immunology. I employ ordinary differential equation (ODE) models and spatially
explicit agent based models (ABMs) to understand kinetics of West Nile Virus
(WNV). I use Hierarchical Bayesian non-linear mixed effects models
to simulate immune response in different species.
inspiration from the immune system to solve problems in computer science.
work suggests how chemical signals and the physical architecture of the immune
system may lead to nearly scale-invariant immune search and response. I look at how we can take inspiration from this and create human-engineered distributed systems
with faster search and response characteristics.
Summary - Soumya Banerjee has a PhD in Computer Science from the University of New Mexico, USA. He worked in Los Alamos National Laboratories while he was in graduate school. Prior to
graduate school, he was a software
engineer working in the financial services sector
for Fortune 500 clients.
His work is at the intersection of computer science and biological
systems – he uses tools from computer science to study biological systems and
takes inspiration from biological systems to design more efficient human-engineered
systems. He is skilled in machine
learning techniques and mathematical modelling using spatially explicit
agent-based models and computationally tractable differential equation models.
He works closely with people from other domains, especially experimentalists. His work has been
recognized with a University of New Mexico Student Award for Innovation in
Informatics in 2010.
He takes pride in writing
industrial-strength software, which he attributes to years working in industry
and skills honed in academia. As of December 2012, he was ranked within the top
500 worldwide on MATLAB Central (an online repository for Matlab code
contributed by users all over the world).
I can be reached at - FIRST NAME AT CS DOT UNM DOT EDU
All in small letters