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I'm Pronab Ghosh, an AI scientist with over seven years of research and industry experience in data science and machine learning, focused on healthcare AI, medical imaging, multimodal clinical modeling, and intelligent decision systems. I design and benchmark novel ML/DL methods and publish in IEEE Transactions, top-tier journals, and flagship conferences. My work spans tumour segmentation (MammoSegNet), interpretable thyroid diagnostics, and deep learning models for disease analysis. I bridge research and production by building reproducible ML systems with modern MLOps practices (Docker, Azure-based CI/CD), emphasizing rigorous validation and collaboration. I have 29+ publications with 1,800+ citations and actively contribute to healthcare AI through co-supervised projects and publications that advance clinical decision support.…I'm Pronab Ghosh, an AI scientist with over seven years of research and industry experience in data science and machine learning, focused on healthcare AI, medical imaging, multimodal clinical modeling, and intelligent decision systems. I design and benchmark novel ML/DL methods and publish in IEEE Transactions, top-tier journals, and flagship conferences. My work spans tumour segmentation (MammoSegNet), interpretable thyroid diagnostics, and deep learning models for disease analysis. I bridge research and production by building reproducible ML systems with modern MLOps practices (Docker, Azure-based CI/CD), emphasizing rigorous validation and collaboration. I have 29+ publications with 1,800+ citations and actively contribute to healthcare AI through co-supervised projects and publications that advance clinical decision support.

Pronab Ghosh

Data Scientist, AI Engineer, AI Developer, +2

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I'm Pronab Ghosh, an AI scientist with over seven years of research and industry experience in data science and machine learning, focused on healthcare AI, medical imaging, multimodal clinical modeling, and intelligent decision systems. I design and benchmark novel ML/DL methods and publish in IEEE Transactions, top-tier journals, and flagship conferences. My work spans tumour segmentation (MammoSegNet), interpretable thyroid diagnostics, and deep learning models for disease analysis. I bridge research and production by building reproducible ML systems with modern MLOps practices (Docker, Azure-based CI/CD), emphasizing rigorous validation and collaboration. I have 29+ publications with 1,800+ citations and actively contribute to healthcare AI through co-supervised projects and publications that advance clinical decision support.…I'm Pronab Ghosh, an AI scientist with over seven years of research and industry experience in data science and machine learning, focused on healthcare AI, medical imaging, multimodal clinical modeling, and intelligent decision systems. I design and benchmark novel ML/DL methods and publish in IEEE Transactions, top-tier journals, and flagship conferences. My work spans tumour segmentation (MammoSegNet), interpretable thyroid diagnostics, and deep learning models for disease analysis. I bridge research and production by building reproducible ML systems with modern MLOps practices (Docker, Azure-based CI/CD), emphasizing rigorous validation and collaboration. I have 29+ publications with 1,800+ citations and actively contribute to healthcare AI through co-supervised projects and publications that advance clinical decision support.

Available to hire

I’m Pronab Ghosh, an AI scientist with over seven years of research and industry experience in data science and machine learning, focused on healthcare AI, medical imaging, multimodal clinical modeling, and intelligent decision systems. I design and benchmark novel ML/DL methods and publish in IEEE Transactions, top-tier journals, and flagship conferences. My work spans tumour segmentation (MammoSegNet), interpretable thyroid diagnostics, and deep learning models for disease analysis.

I bridge research and production by building reproducible ML systems with modern MLOps practices (Docker, Azure-based CI/CD), emphasizing rigorous validation and collaboration. I have 29+ publications with 1,800+ citations and actively contribute to healthcare AI through co-supervised projects and publications that advance clinical decision support.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Research Assistant at Wilfrid Laurier University

October 1, 2025 - Present

Designed RL frameworks for decision optimisation under uncertainty in healthcare and intelligent systems. Built multimodal ML pipelines integrating imaging, lab measurements, and patient history with robust validation. Led benchmarking, ablations, and statistical evaluation supporting journal- and conference-ready submissions.

Graduate Research Assistant (ITS / RL) at Lakehead University

September 1, 2021 - August 1, 2023

Published RL-based AoI/fairness optimisation for vehicular networks at IEEE PIMRC 2023, IEEE WCNC 2024, IEEE GLOBECOM 2024. Developed scalable RL frameworks for large-scale autonomous vehicle networks (100+ agents), reporting 5–40% gains in data freshness, reliability, and fairness. Proposed fairness-aware multi-hop scheduling formulations (MILP + Q-learning/DDQN), formalised in MC FGV and MVGCF.

Professor at Confederation College

January 1, 2024 - April 1, 2025

Designed and delivered Data Specialization curriculum; managed labs, assessment, and academic scheduling.

Project Co-Supervisor at Brain Machine Intelligence Tech. Research (BMITR) Lab

September 1, 2020 - Present

Co-supervised healthcare AI research projects, guiding problem formulation, experimental design, statistical validation, and publication-quality reporting. Developed deep learning and hybrid ML models for medical imaging and diagnosis, contributing to Q1 and Transactions journals, including MammoSegNet and interpretable thyroid diagnostics. Designed hybrid ML pipelines combining ensembles, feature selection, and neural networks to improve diagnostic robustness; implemented MLOps workflows with Docker and Azure DevOps + Azure ML for CI/CD, model versioning, and experiment tracking.

Data Analyst & AI Engineer at iStdio

September 1, 2019 - August 1, 2021

Built end-to-end ML and DL solutions for healthcare analytics. Implemented classical ML models and ensembles alongside neural networks to improve prediction stability on clinical datasets. Designed hybrid ML–DL models for cancer prediction and contributed to Q1 healthcare AI publications.