We work on image analyses, especially with medical or radiological images.
Currently I am at Stanford on my sabbatical leave. I am involved with a
project for analyzing a large quantity of 4D data (3D + time) on breast
cancer images acquired at Stanford Medical School.
Our objective in this work is to develop code-workflow to understand tumor
heterogeneity and how that evolves with treatment. We will use algorithms
related to Topological Data Analyses techniques
(https://en.wikipedia.org/wiki/Topological_data_analysis)
initially developed at the Math department by my host's group.

I would like to have a student involved with me in this project. 
Good math background is needed, no medical background is expected, and we
use Python. CS, Bio-med or Math student may fit better, but anyone is
welcome to talk to me.

There is no financial support available at the moment but the situation may
change. We expect to have some publication(s). The project is ideal for a
dissertation, a thesis or even an Independent Research, depending on the
depth of the study you want to pursue.

If you or anyone you know of wants to learn more about this research please
contact me before November the 6th, 2018 by forwarding this mail to me with
a modified subject header: "Tumor 4d data analyses".

 

Debasis Mitra, Professor
Computer Science
cs.fit.edu/~dmitra   dmitra@cs.fit.edu