Welcome to my site, here I present my past, present and future work. In the past I use to deal with probabilistic graphical models and machine learning techniques in the research area of Bioinformatics and Nutrigenomics. The focus of my past work was on finding significant direct and indirect relationship among genes of interest focussing on obesity and type II diabetics. 

I have been working in close colaborations with Biometris departmant at Wageningen University, The netherlands and Radboud University, Nijmegan, The Netherlands, Laboratory of bioinformatics, Wageningen University, The netherlands and Department of Human nutrition, Wageningen University Wageningen, The netherlands. 

This site shows various tools and techniques I have been using and developing during my research. Most of my PhD work was concerned with Learning in Bayesian Networks, and my main focus was on constraint based learning, I have been using and developing various Heuristic methods for learning as well. The data I work with was generated from wet (Biological) experiments using microarrays specifically Affymetrix(which are high density oligo sequences synthesized on small glass slides). The organisms I work on include Mouse & Humans for genomics experiments and Tomatoes for Metabolic experiments.

I also had the opportunity to work with the IBIVU group, Amsterdam (Vrije University), The Netherlands on systems biology approach, where I had been working with Dr. Johannes van Beek on implementing a framework to visualize metabolic pathways and to estimate the fluxes under certain metabolic constraints. This work extensively used a "hypergraph" visualization to presenting pathways. 

Currently I work at Danone Research, Wageningen. The Netherlands. The work I do is very different than what I am use to, where I deal mostly with classical statistical approach, mostly focussing on mixed models. Mixed models are gaining more popularity lately, due to its ability to handle random effects. Working in this area allows me to understand and bridge the gap between Machine learning and Statistics.

PRESS:

1. Interview Dutch Bioinformatics Magazine: http://www.nbic.nl/uploads/media/Interface4.pdf

2. Venture Challenge:http://www.nutrigenomicsconsortium.nl/news.html