My name is Deepak Anand, and I work at Nference as Data Science Manager. Nference is popularly known as Google of Medicine. At Nference, I work on applied computer vision in medical images, including radiology and histopathology. With multiple spin-cos like Anumana and Pramana, Nference aims to build a completely aware (using all the modalities rather than one or two) suite of algorithms which can benefit patients significantly.

Previously, I worked as Head of AI at Griffyn Robotech Pvt. Limited. I was working at Griffyn Robotech Pvt. Limited to bring the edge of AI to industrial automation and operations analytics. We built a patented micron-level cosmetic grading machine for surface inspections.

By education, I completed my Ph.D. at the Department of Electrical Engineering at IIT Bombay. For my Ph.D., I worked in the area of deep learning applications to medical images, specifically for cancer diagnosis and prognosis at MeDAL (Medical Deep Learning and Artificial Intelligence Lab). I maintain a list of my publications, patents, and research implementations under the Publications tab. To get an insight into my professional life so far, you can have a look at my CV.

I blog now and then, compiling my personal experiences. Feel free to read a bit more about me!

Updates

  • Mar 2022: Started to work as Data Science Manager at Nference.
  • Nov 2021: A paper titled “Weakly supervised learning on unannotated H&E stained slides predicts BRAF mutation in thyroid cancer with high accuracy” got accepted at The Journal of Pathology.
  • Aug 2020: A paper titled “Visualization for Histopathology Images using Graph Convolutional Neural Networks” got accepted at IEEE-BIBE 2020.
  • Jul 2020: Defended the Ph.D. thesis, officially a Doctor now.
  • Jul 2020: A USA Patent was approved.
  • April 2020: Submitted the Ph.D. thesis for external review.
  • Feb 2020: A paper “Uncertainty Estimation in Cancer Survival Prediction” got accepted for ICLR Workshop on AI for Affordable Healthcare, 2020. Congratulations to co-authors Hrushikesh, Pranav, Neeraj, and Amit Sethi.
  • Jan 2020: Joined Griffyn Robotech Pvt. Limited as Head of AI.
  • Jan 2020: A paper “Self-supervision vs. Transfer learning: Robust Biomedical Image Analysis Against Adversarial Attacks” got accepted at IEEE ISBI 2020.
  • Dec 2019: Presented pre-synopsis seminar for Ph.D. submission
  • Nov 2019: Won Best paper award for a paper “Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning” at IEEE WIECON 2019. Congratulations to co-authors!

  • Nov 2019: Gave a tutorial on machine learning for the CEP IIT Bombay course on “Emerging Telecom Technologies for Digital Development and Spectrum Management”

  • Oct 2019: Won second prize at Intel Python Hackfury2 !!

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