Amod Jog

About Me

I am a computer vision and medical imaging scientist based in Pune, India. I have significant experience in building AI/ML solutions in healthcare imaging, manufacturing, and ecommerce sectors. Presently I am a principal scientist at TeraRecon Inc, a ConcertAI company.

Previously, I was a lead scientist in the Industrial AI lab at GE Research Bengaluru in the computer vision team, where I developed AI/ML algorithms to improve scanning efficiency in MRI scanners and functional MRI processing. I also built signal processing algorithms for sensors for non-destructive evaluation of industrial parts.

Prior to that I was a computer vision scientist at IBM Watson Health where I built object detection and image classification algorithms using the (then) latest deep learning architectures for cancer detection in digital mammograms. I also did a couple of postdoctoral stints at Massachusetts General Hospital (MGH) and Johns Hopkins University (JHU) primarily working on developing image segmentation and image synthesis algorithms for brain MRI.

Interests

Medical Image Analysis
Computer Vision
Natural Language Processing

Education

PhD in Computer Science, 2016
Johns Hopkins University
MSE in Computer Science, 2011
Johns Hopkins University
BTech in Computer Science and Engineering, 2009
Indian Institute of Technology Bombay (IITB)

Experience

Principal Scientist

TeraRecon

Aug 2022 – Present Bengaluru/Pune, India

Responsibilities include:

Developing computer vision and machine learning applications in healthcare–particularly processing cardiac and head and neck CT images.

Lead Scientist

GE Research

Sep 2021 – Jun 2022 Bengaluru, India

Responsibilities include:

Developing computer vision and machine learning applications in healthcare–particularly spine MRI and functional neuroimaging–and aviation–non-destructive evaluation signal processing.

Scientist

IBM Watson Health

Apr 2019 – Dec 2021 Cambridge, MA

Responsibilities include:

Developing image classification and detection algorithms for screening mammography and chest X-rays

Research Fellow

Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital/Harvard Medical School

Jul 2017 – Mar 2019 Charlestown, MA

Projects:

Developing image synthesis and image segmentation approaches to reduce the bias and variance in neuroimaging analysis results introduced due to MR scanner differences
Human infant (age 0-2 years) brain MRI skullstripping application using convolutional neural networks
Classification of healthy vs mild cognitively impaired (MCI) subjects using random forests on reaction time data

Postdoctoral Fellow

Image Analysis and Communications Laboratory, The Johns Hopkins University

Mar 2016 – May 2017 Baltimore, MD

Projects:

Estimation and analysis of strain during speech in the tongue muscles using diffusion and tagged MRI data
Self super-resolution of thick slice 3D MRI scans

Research Assistant

Image Analysis and Communications Laboratory, The Johns Hopkins University

Jan 2012 – Feb 2016 Baltimore, MD

Projects:

Designed machine learning algorithms that, in concurrence with MRI image formation physics, synthesize brain MRI images of a target modality using available MRI images.

Research Assistant

Visual Imaging and Surgical Robotics Laboratory, The Johns Hopkins University

Sep 2009 – Oct 2011 Baltimore, MD

Projects:

Designed metrics and systems to classify skill levels and propose feedback to surgeons operating the da Vinci surgical robot using kinematic and stereo video data streams