Ariel Ghislain Kemogne Kamdoum

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About Me

I’m Ariel Ghislain Kemogne Kamdoum, a PhD researcher at the University of Calgary, Canada, where I develop novel biostatistical and representation learning (AI/ML) methods to identify genetic factors underlying complex diseases such as cancer and cardiovascular disorders, with a strong emphasis on interpretability and mechanistic insight. My research bridges statistical genetics, deep learning, and explainable AI to improve our understanding of disease biology and heritability.

My academic foundation is in Mathematics and Computer Science, with a focus on Machine Intelligence. I completed my Master’s degree in Mathematics from the University of Dschang, Cameroon, Cameroon, where I explored algebraic topology and its applications in robotics. Motivated by the profound implications of Mathematical Sciences, I expanded my education at the African Institute for Mathematical Sciences (AIMS), earning two MSc degrees from Senegal and Ghana in Mathematical Sciences and Machine Intelligence, respectively.

My professional experience includes data science roles at ICRISAT/MANOBI and teaching assistant positions at Neuromatch Academy (NMA), focusing on deep learning and neuroscience. Currently, as a part of Quan Long’s Lab at the University of Calgary, I am enthusiastically applying my combined expertise in statistics and machine intelligence to address real-world challenges.

More on ORCID.

Language: French (Native) & English (Fluent).

Research Interests

My research interests include but not limited to:

Awards

1- 2023 Alberta Innovates Graduates Scholarship, 2023-2026

2- Indigenous and Black Momentum Scholarship in Science, 2022-2023

3- Graduate Teaching Assistant (GAT) Excellence Award Department of Mathematics and Statistics, University of Calgary, 2024

Alberta Innovations

As an Alberta Innovates Scholar, I contribute to Alberta’s digital health ecosystem through the design and development of AI-powered Digital Health Advisors (DHAs) at VirtuClinic Inc., in collaboration with innovation networks connected to Alberta Innovates and Technology Alberta. My work focuses on translating advanced artificial intelligence, machine learning, and natural language processing research into scalable, real-world digital health systems that enhance virtual care delivery, mental-health support, patient engagement, and healthcare operations across Alberta. I lead the technical architecture and governance of DHAs with a strong emphasis on privacy-preserving design, ensuring full compliance with Canadian health data regulations, including HIA, PIPEDA, POPA, and FOIP, and guaranteeing that no Personal Health Information is stored, processed, or transmitted by these systems. Through this work, I support Alberta’s strategic priorities in responsible AI, health system innovation, and technology commercialization by building trustworthy, regulation-compliant AI solutions that improve access to care, operational efficiency, and digital health readiness across the province.

Please give it a chat with the Digital Health Advisors and please share your feedbacks.

Memberships

1- American Society of Human Genetics (ASHG): Member of the leading international professional society advancing research, education, and clinical practice in human genetics. ASHG fosters cutting-edge discoveries in genomics, statistical genetics, and precision medicine through high-impact conferences, publications, and collaborative initiatives.

2- Statistical Society of Canada (SSC): Member of Canada’s national organization promoting excellence in statistics, probability, and data science. SSC supports methodological innovation, interdisciplinary research, and the application of statistical science to public policy, health, and society.

3- Digital Health Canada: Member of Canada’s principal professional association for digital health leaders. This network connects innovators, clinicians, researchers, and policymakers working to advance AI-driven healthcare, virtual care, interoperability, and responsible health data governance.

4- Neuromatch Academy: Member of a global, community-driven academy focused on advanced training and collaboration in machine learning, computational neuroscience, and AI. Neuromatch Academy emphasizes open science, rigorous methodology, and cross-disciplinary research.

5- Technology Alberta: Member of Alberta’s innovation ecosystem supporting technology commercialization, entrepreneurship, and industry–academic collaboration across AI, health tech, and emerging digital sectors.

Teaching (Winter 2026)

Graduate Teaching Assistant at University of Calgary, Alberta, Canada:

1- STAT 205: Introduction to Statistical Inquiry

An applied introduction to statistical thinking, focusing on data collection, exploratory data analysis, probability concepts, statistical inference, confidence intervals, hypothesis testing, and real-world data interpretation.

2- STAT 323: Introduction to Theoretical Statistics

A mathematically grounded course covering probability theory, random variables, common distributions, expectations, sampling distributions, and the theoretical foundations underlying statistical inference.

Talks and Presentations

News

Contacts