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 !!
Oct 2019: A paper “Histographs: Graphs in Histopathology” got accepted at SPIE Medical Imaging 2020. Congratulations to co-authors Shrey Gadiya and Amit Sethi
Oct 2019: A paper “A Multi-organ Nucleus Segmentation Challenge” got accepted at IEEE TMI. Congratulations to co-authors Neeraj Kumar, Ruchika Verma and Amit Sethi
Sep 2019: Gave a hands-on tutorial on machine learning and dimension reduction for the course “IoT Fundamentals and Case Studies” under CEP IIT Bombay
Sep 2019: A paper “A Bayesian framework to quantify survival uncertainty” got accepted for ESMO MAP 2019
Aug 2019: A paper “Pixel-wise Segmentation of Right Ventricle of Heart” got accepted for IEEE TENCON 2019
Aug 2019: Gave a talk titled “Making Machines Learn: An Introduction to Deep Learning” for Student Reading Group, EE, IIT Bombay
Jul 2019: Gave a hands-on tutorial on predictive analysis for the course “Fundamentals of IoT Design” under CEP IIT Bombay
Jun 2019: Presented at IWSSIP 2019 in Osijek, Croatia
May 2019: Gave a hands-on tutorial demonstrating deep-learning as a computational tool at Department of Electrical Engineering, IIT Bombay
Apr 2019: A paper “Fast GPU-Enabled Color Normalization for Digital Pathology” got accepted for IWSSIP 2019
Apr 2019: Received PG Passing-out Color (Sports), Gymkhana Awards 2018-2019 IIT Bombay
Feb 2019: Played National Championship of Ultimate Frisbee 2019 at Ahmedabad