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Hi there šŸ‘‹

  • šŸ‘Øā€šŸ’» Iā€™m a Postdoctoral Associate at the University of Pittsburg Medical Center (UPMC).
  • šŸŒ± 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.
  • šŸŒ± Also, I develop AI algorithms, recently more focused in graph-based algorithms, to identify spatially significant and pathologically relevant gene expression patterns.
  • šŸ’¬ Ask me about machine learning, deep learning, cloud and distributed computing, and data science.
  • āš” Fun fact: I enjoy photography šŸ“· and you can find me at @arun91dasan on Instagram or @arun_not_arun on Twitter.
  • šŸ“„ My publications can be found in my Google Scholar profile.

Arun Das's Projects

hadoop_spark_config icon hadoop_spark_config

Hadoop and Spark configuration templates which can be used to support dynamic configuration and reconfiguration of hadoop and spark clusters.

incubator-mxnet icon incubator-mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

is7033 icon is7033

PhD Seminar Course on advanced Artificial Intelligence algorithms by Dr. Paul Rad @ UT San Antonio.

keras icon keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

linux-essentials icon linux-essentials

IPMI, Server Administration, package installation scripts and much more.

longest-chain-problem icon longest-chain-problem

The idea to find the longest chain of words, where each word is a one letter extension of the previous word. The words are read from a text file and compared with each other using an algorithm. The program takes a while to run but the same can be done using graph theory very quick. I did this one to assist a friend of mine in a class project.

macular-degeneration icon macular-degeneration

Age-Related Macular Degeneration (AMD) Research using AREDS dataset provided by National Institute of Health (NIH).

magnatagatune icon magnatagatune

This notebook is the first step in the deep learning pipeline of an interesting Music Genre Classification problem using the MagnaTagATune dataset: the intense data science part where you prepare the dataset in the way you want.

mlclub_sessions icon mlclub_sessions

OCI Machine Learning Club Weekly Sessions. This repo will hold the initial building blocks and dev space of the Jupyter notebooks.

music_genre_classification_deeplearning icon music_genre_classification_deeplearning

We are developing a deep neural network based music classification engine, with Million Song Dataset as the main input. The aim of the project, in the initial phase, is to classify the genre of songs. User will input a song (mp3 or wav file) and the neural network will classify the song based on its features.

oci_slurm icon oci_slurm

Automate slurm jobs to deep learning cluster. Sharing tests, examples, and documentations.

pyspeakrec icon pyspeakrec

Python app that lets you create, use and edit a functioning deep learning speech recognition system.

resnet icon resnet

Reproduce ResNet-v2(Identity Mappings in Deep Residual Networks) with MXNet

self-supervised-temporal-learning icon self-supervised-temporal-learning

Code repository for "Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders" AAAI 2021

tissuumaps icon tissuumaps

TissUUmaps is a browser-based tool for fast visualization and exploration of millions of data points overlaying a tissue sample. TissUUmaps can be used as a web service or locally in your computer, and allows users to share regions of interest and local statistics.

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