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Sogand Sajedi
I graduated from Vienna University of Technology with a Ph.D. in engineering sciences and a master's degree in biomedical engineering. My dissertation focused on computational modeling and developing algorithms for analyzing neurons in the cochlea, retina, and brain in response to electrical stimulation. I have the required programming skills, which are essential in computational biology. As a postdoctoral associate at the Oncinfo Lab, I expand my knowledge and use my prior experience to analyze omics data.
My current projects are:
- Using transcriptomic data to analyze and identify differentially expressed genes between control and diseased brains with different stages of Alzheimer’s using R Bioconductor.
- Differentially expressed gene analysis on healthy and diseased microglia cells based on the expression of CD33.
- Applying machine learning methods for dimension reduction and feature selection to find biomarkers that can identify senescent cells.
- Feature extraction from single-cell RNA seq data using modern deep model architecture and frameworks.
Email: sajedi@uthscsa.edu