I use image processing and shape quantification methods to extract information from imaging data and link them to phenotypes by machine learning approaches.
My project focuses on combining spatial transcriptomics and imaging data to predict phenotypes in cancer and other diseases. In my previous research I developed TISMorph software (in Matlab) to add new cell shape features which common software were not able to capture. Then I used these features to distinguished between cancer and normal cells with single cell resolution and predicted the function of novel kinases. I also mathematically modeled nuclear Beta-catenin's switch like response to WNT stimulation. During my last four years I have worked closely with biologists, developed a pipeline for them in R, and mentored them to analyze, automatically label plate-based assays and visualize their data.
Colorado State University, Fort Collins, CO, US
PhD in Chemical Engineering, August 2013 to July 2018
Laser & Plasma Research Institute, Shahid Beheshti University, Tehran, Iran
M.Sc. in Plasma Engineering, October 2009 to February 2012
Alzahra University, Tehran, Iran
B.Sc. in Physics, October 2005 to June 2009
Associate Computational Scientist
The Jackson Laboratory
Postdoctoral Research Associate
University of Arizona
Colorado State University