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 — and Co-Founder of CellVerse, building animal-free disease models for drug testing and personalized medicine.
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's Communications Medicine.
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).
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 — $82,000 CAD startup funding secured
Trustworthy diagnostic intelligence and advanced dental education — from exam preparation to clinical decision-making — in one seamless platform, designed with research-driven methods and responsible-AI principles.
Montréal, CanadaAnimal-free disease models for drug testing and personalized medicine. Backed by Real Time Angel Fund with ₹5M (~$82,000 CAD); selected for the Québec Scientific Entrepreneurship Program (QcSE), Fall 2023.
Rajasthan, IndiaMcGill University, Montréal
Market-ready solutions for med-tech startups, Sweden
Machine Learning II (Graduate) · Chess (Undergraduate)
Oral cancer screening camps, school dental check-ups & awareness campaigns across five communities
Open to collaboration, speaking & advisory