My name is Soumya Banerjee (first name pronounced as show-mo) and I am a researcher at Harvard University with experience working in India, USA, Australia and Germany.
I analyze complex problems and implement new statistical and machine learning techniques for deriving insights from large amounts of data.
I have worked in financial and healthcare domains and am domain certified in finance and mortgage.
You can read more about my projects and skills here. I am involved in various data science projects (machine learning projects, open source data science projects) and freely share code that I write. You can also read my publications here.
My research interests are in computational immunology and complex systems. I use techniques from computer science to solve problems in immunology and take inspiration from the immune system to solve problems in computer science.
a) Using techniques from computer science to solve problems in immunology.
use machine learning techniques to solve problems in biology, especially
immunology. The tools of my trade are 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.
b) Taking inspiration from the immune system to solve problems in computer science.
My 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.
Bio - 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 January 2015, he was ranked within the top 200 worldwide on MATLAB Central (an online repository for Matlab code contributed by users all over the world).
I can be reached at - NEEL DOT SOUMYA AT GMAIL DOT COM
All in small letters
I am also honoured to be a Ronin Institute Scholar and a research scholar at the Complex Biological Systems Alliance.