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Rohit Ghosh

Rohit Ghosh

AI Leader, Entrepreneur, and Google Developer Expert

rohitg
Sydney, New South Wales, Australia
Joined February 2026

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13.9K connections
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Healthcare AI Innovators
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Qure.ai Leadership
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AI Strategy Advisors
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Qure.ai Business Partnerships
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Big Tech AI/ML
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Qure.ai Product Engineering
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AI Startup Founders

Summary

Rohit Ghosh is a highly accomplished AI and data science professional with a strong entrepreneurial background, notably as a Founding Member and Chief Commercial Officer at Qure.ai, where he significantly contributed to the company's growth from initial algorithm development to leading commercialization and sales strategy across global markets. github+1
He is recognized as a Google Developer Expert for Machine Learning and a mentor for Google for Startups, demonstrating his expertise and commitment to fostering ML communities and guiding aspiring data scientists. github+2
Rohit is an active educator and speaker, having served as ML Faculty and Mentor at GreyAtom, delivered a TEDx talk on AI in healthcare, and co-authored books and numerous academic papers, including groundbreaking research published in The Lancet. github+2
His research contributions span various medical imaging applications of deep learning, with publications in prestigious journals and presentations at major conferences such as the European Society of Radiology and the Radiological Society of North America, often in collaboration with institutions like Yale School of Cardiology. github+2
Despite his extensive technical achievements, he remarkably started with no coding knowledge in 2016, highlighting a rapid and dedicated learning journey into deep learning and data science. github

Work

Education

Projects

Writing

Automated detection and localisation of skull fractures from CT scans using deep learning

January 1, 2018

Research abstract accepted for scientific paper presentation at the annual conference of the European Society of Radiology (ECR) '18.

Favicon imagerohitghosh.github.io

Automatic detection of generalised cerebral atrophy using deep neural networks from head CT scans

January 1, 2018

Research abstract accepted for scientific paper presentation at the annual conference of the European Society of Radiology (ECR) '18.

Favicon imagerohitghosh.github.io

Automated detection of intra and extra-axial haemorrhages on CT brain images using deep neural networks

January 1, 2018

Research abstract accepted for scientific paper presentation at the annual conference of the European Society of Radiology (ECR) '18.

Favicon imagerohitghosh.github.io

Deep neural networks to identify and localize intracerebral hemorrhage and midline shift in CT scans of brain

January 1, 2017

Research abstract accepted for Scientific Poster and Alternate for Oral Presentations Status in the annual Conference '17 by the Radiological Society of North America (RSNA).

Favicon imagerohitghosh.github.io

Advanced Analytics Improve Prognostication, Identify Distinct Subgroups of Heart Failure and Detect Heterogeneity in Response to Therapies in a Cohort of Heart Failure Patients

January 1, 2016

Research abstract in collaboration with Yale School of Cardiology, accepted for oral presentation at the American College of Cardiology Meeting '16 and American Heart Association Annual Conference '16.

Favicon imagerohitghosh.github.io

Application of Machine Learning Methods for Prediction of Outcomes after Cardiac Transplantation: Insights from the UNOS Database

January 1, 2016

Research abstract in collaboration with Yale School of Cardiology, accepted for oral presentation at the American Heart Association Annual Conference '16.

Favicon imagerohitghosh.github.io

Application of deep learning for medical imaging evaluation (Patent)

A patent covering the application of deep learning techniques for evaluating medical images.

Favicon imagepatents.google.com

Variation in Practice Patterns and Outcomes Across UNOS Allocation Regions

Research paper in collaboration with Yale School of Cardiology, accepted for publication in Clinical Cardiology.

Favicon imagerohitghosh.github.io

Big Data Analytics: Systems, Algorithms, Applications

Co-authored chapters in this book, covering deep learning for recommender systems and a theoretical introduction to deep learning.

Favicon imagerohitghosh.github.io

RegTech Investment & Compliance Spending (The RegTECH Book)

Co-authored part of a chapter in Wiley Publications' 'The RegTECH Book,' discussing merits and demerits of Shared Risk Engine and proposed architecture for advanced risk management using ML.

Favicon imagerohitghosh.github.io

Exploring Long-Term Relationships in Logistics Industry (Cases In Business Marketing)

Co-authored a case study with a teaching note, published by McGraw Hill Education Pvt. Ltd. as part of the book 'Cases In Business Marketing.'

Favicon imagerohitghosh.github.io

The Lancet publication on AI-in-imaging

Co-authored research published in The Lancet, which was noted as the journal's first-ever publication on AI in imaging.

Favicon imagesessionize.com

Hobbies

A bronze medalist in the City of Sydney's Annual Pickleball Championship, indicating an active interest in the sport. github