PhD Researcher · McGill University · Canada
Dr. Mridul Sharma — quantifying uncertainty in large language models, building diagnostic intelligence for oral cancer, and translating research into real-world ventures.
I work at the intersection of artificial intelligence and oral health — making machine-learning models honest about what they don't know.
My research applies Approximate Bayesian Computation to quantify the uncertainty of large language models in clinical diagnosis, with a focus on complex oral lesions and oral cancer. The goal: AI that clinicians can actually trust at the chairside.
Beyond the lab, I'm the Founder & CEO of AlveoAI — a platform uniting trustworthy diagnostic intelligence with advanced dental education, from exam preparation to clinical decision-making.
An Approximate Bayesian Computation approach to measure how confident — and how trustworthy — LLMs are when diagnosing complex oral lesions. Submitted to AAAI 2026; presented at Harvard, IADR, and the Canadian Cancer Research Conference.
A machine-learning tool predicting recurrence-free survival of oral squamous cell carcinoma from clinico-pathological charts and histopathological imaging. Advised by Dr. Dip Sankar Banerjee & Dr. Dharma Ram Poonia.
Benchmarking deep learning architectures for classifying oral cancer lesions from histopathological images — work that fed into an attention-guided, bias-mitigated network published in Nature Portfolio's Scientific Reports.
An interactive web application that turns complex Canadian Health Measures Survey oral health data into an accessible, explorable visualization for researchers and the public. Advised by Dr. Sreenath Madathil.
10 peer-reviewed articles · 2 first-author · selected works below
Sharma M, Patel A, Dsouza Z, Rahimi S, Reddy S, Madathil S.
Patel A, Besombes C, Dillibabu T, Sharma M, Tamimi F, Ducret M, Chauvin P, Madathil S.
Cerda D, Sharma M, Madathil S.
Sharma M, Sahu AK, Kaila P, et al. — first author.
Chakraborty PK, Biswas A, Sharma M, et al.
Khan M, Sharma M — first author contribution.
+ 4 further articles in J Pharm Bioall Sci, Cureus & IJDSIR, and 4 scholarly reviews for Cureus, Springer Nature and JDR-CTR.
Funding secured — $0 CAD in research awards & grants
Canada's most prestigious doctoral research award, from the Canadian Institutes of Health Research.
Provincial doctoral training award for health research excellence.
Co-applicant — AI research funding.
Graduate research fellowship.
McGill University — 2024 & 2025.
Community & outreach engagement.
Government of India graduate fellowship.
Graduate research fellowship.
GREAT Award, RSBO Best Poster, Harvard SDM scholarships (2023 & 2025).
Two medical-device designs registered with the Patent Offices of India and the United Kingdom
Representation of design · as registered
A handheld chairside scope for non-invasive early screening of oral cancer — optical detection head, on-device display, single-hand operation.
Move across to rotate · 5 registered views
Rotating through 5 registered views
A pen-form applicator for precise fluoride delivery in clinic and at home — angled nozzle, on-body controls, ergonomic textured grip.
Features, press & appearances across the research community
Profiled by the FRQ as a proudly funded doctoral researcher.
Co-leading a two-part workshop on generative AI, privacy, bias and reproducibility in health research. July 6–7, 2026.
Featured in “Augmenting — Not Replacing — Human Knowledge” on AI in biomedical research.
Presenting uncertainty quantification of LLMs at the 4th Annual Celebration of Research and Training in Oncology.
Translating research into products
Vyas Dental College & Hospital, Jodhpur · Rajasthan, India
Joint degree · IIT Jodhpur & AIIMS Jodhpur
Ranked 3rd of 5 national seats for admission. Thesis: a multimodal tool to predict recurrence-free survival in oral squamous cell carcinoma from clinico-pathological and imaging factors.
McGill University · Montréal, Canada
Open to collaboration, speaking & advisory