I’m Joseph Nalluri.
- Developing an integrated data repository capable of quality assessment and predictive analytics of radiation therapy (RT) treatment plans consisting of clinical data and RT imaging (eg., DICOM).
- Creating pseudo-CT images from MRI using convolutional neural networks
I completed my Ph.D. in Computer Science with a specialization in biological networks and complex network analysis. My dissertation was titled, ‘Network analytics for the miRNA regulome and miRNA-disease interactions‘ and was under the advising of Dr. Preetam Ghosh.
I graduated from the Department of Computer Science at Virginia Commonwealth University in Richmond, VA. I am working in Biological Networks (GHOSH Lab). I graduated from my Masters of Science in Computer Science from Texas A&M University, Corpus Christi in 2012.
My main research focus is on using graph theory and probabilistic modeling to understand and decipher patterns of association in complex networks. Under this theme, (currently) my work has applications in the domain of bioinformatics and miRNA network analytics and therapeutics.
My research interests span across
- network inference and graphical modeling of complex biological networks, especially –
→ miRNA – disease interactions
→ miRNA – miRNA interactions
→ miRNA – gene-TF interactions
- predicting vital hub miRNAs in cancer-specific disease networks
- comprehensive integration of heterogeneous biological network datasets
To get a better idea of my work, here are:
We had a small video made covering research in our lab. You can watch that as well.
During my Masters, I worked on processing large hyperspectral image files (approx. 10GB) via cluster/parallel programming.