- 👨💻 I’m a Postdoctoral Associate at the University of Pittsburg Medical Center (UPMC).
- 🌱 My current work is to progress research in single cell spatial transcriptomic analysis; from cell segmentation, cell typing, to further downstream analysis based on the spatial location of the genes, its expression patterns, pathological insights and much more.
- 🌱 Also, I develop AI algorithms, recently more focused in graph-based algorithms, to identify spatially significant and pathologically relevant gene expression patterns.
- 💬 Ask me about machine learning, deep learning, cloud and distributed computing, and data science.
- ⚡ Fun fact: I enjoy photography 📷 and you can find me at @arun91dasan on Instagram or @arun_not_arun on Twitter.
- 📄 My publications can be found in my Google Scholar profile.
arundasan91 / dexpression Goto Github PK
View Code? Open in Web Editor NEWTFLearn Implementation of DeXpression architecture. Batch normalization is used instead of LRN. Gives a precision of 99.3 percent, recall of 99.2 percent and f1-score of 99.2 percent on CKPlus Dataset for human emotion recognition from frontal facial images.
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