Machine Learning Educator, Alberta Machine Intelligence Institute
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Research Interests: Machine/Deep Learning for healthcare, medicine, and bioinformatics | Computational Pathology | Genomic Informatics | For more details click research tab.
Latest News
Latest News
- I am co-organizing AAAI Symposium on Survival Prediction - Algorithms, Challenges and Applications, scheduled to be held on March 22-24 at Standford University. Click here for more details.
- I recently co-organized an international competition on multi-organ nuclei segmentation and classification (MoNuSAC) at the IEEE International Symposium on Biomedical Imaging 2020. This competition pushed state-of-the-art in generalized segmentation of tumor nuclei and tumor associated immune cells. Click here for the challenge details.
- Previously, I co-organized an international competition on multi-organ nuclei segmentation (MoNuSeg) from H&E stained tissue images at MICCAI 2018 where 32 teams from 11 countries appeared in the final leaderboard.
Skills
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Algorithms: Machine/Deep Learning, Computer Vision, Image & Signal Processing
Programming Languages: Python, R, SQL, C++, MATLAB Libraries: Fastai, PyTorch, Keras, Tensorflow, Scikit-learn, (Past: Mxnet, Theano) Platforms: Linux, Mac OS X, Windows, Paperspace, Amazon Web Services |
Education
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Ph.D. Electronics & Electrical Engineering, Indian Institute of Technology Guwahati 2011-17
Thesis: Few algorithms for inverse problems in image processing (pdf) B.Tech. Electronics & Communication Engineering, Guru Nanak Dev University, India 2007-11 CGPA: 9.2/10.0 (equivalent to 82.5%) Minor: Computer Science |
Continuing Education
I recently finished implementing the algorithms described in the book Data Science from Scratch by Joel Grus to know software engineering perspective of machine learning (ML). My work is available on github.
I recently finished implementing the algorithms described in the book Data Science from Scratch by Joel Grus to know software engineering perspective of machine learning (ML). My work is available on github.
Awards and Honors (selected)
- 2019 Best poster award, $500 cash award received at Illinois’s Dr. Gary Kruh Cancer Research Symposium
- 2018 Research Grant, Breast Cancer Research Group (UIC) Award (US $25,000)
- 2018 Research Grant, Breast Cancer Alliance Exceptional Project Grant (US $100,000)
- 2017 GPU grant, through NVIDIA’s academic research support program
- 2017 Research Grant, R25T Cancer Education and Career Development Award from NCI (NIH, USA)
- 2013 Research Grant, Erasmus Mundus Heritage Fellowship
- 2013 Research Grant, Microsoft Research India Fellowship (awarded to 4 graduate students across India)
- 2011 Research Grant, Motorola Mobility Patent Intern Fellowship
- 2008 Gold medal nomination, for excellent academic performance (among top 5 students of university)