Curriculum Vitae
Profile
I develop novel biostatistical and representation-learning 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.
Research Interests
Publications
Peer-Reviewed Publications
A benchmark of expert-level academic questions to assess AI capabilities
Nature 649, 1139–1146 (2026).
MOKA: a pipeline for multiomics bridged SNP-set kernel association test
G3: Genes | Genomes | Genetics, Volume 16, Issue 2, February 2026, jkaf296.
Preprints and Benchmark Contributions
Humanity's Last Exam
arXiv preprint arXiv:2501.14249.
Manuscripts Under Review
gVAE: Stable and interpretable representation learning for high-dimensional genomic cohorts with moderate sample sizes
Manuscript under review.
GEVAT: a representation-learning framework for complex trait association mapping
Manuscript under review.
More publications and citation updates are available on Google Scholar .
Education
PhD in Biostatistics
University of Calgary, Canada
Supervisor: Dr. Quan Long, Assistant Professor of Bioinformatics, Cumming School of Medicine; Department of Biochemistry and Molecular Biology; Department of Medical Genetics; Department of Mathematics and Statistics, University of Calgary.
Co-supervisor: Dr. Thierry Chekouo Tekougang, Assistant Professor, Department of Mathematics and Statistics, University of Minnesota.
M.Sc. in Machine Intelligence
African Master’s in Machine Intelligence, Ghana
Essay project: Optimization and Generalization of Shallow Neural Networks with Quadratic Activation Functions.
Supervisor: Dr. Moustapha Cissé, Founder and Director of AMMI and former Head of Google AI Center in Accra, Ghana.
M.Sc. in Mathematical Sciences
African Institute for Mathematical Sciences, Senegal
Grade: Very Good Pass.
Essay project: Abelian Extension and Crossed Module for Lie Algebras.
Supervisor: Dr. André Saint Eudes Mialebama Bouesso, Marien Ngouabi University, Brazzaville, Congo.
M.Sc. in Mathematics
University of Dschang, Cameroon
Rank in class: 1st / 14. Grade: Very Good Pass.
Essay project: (Co)homologie des espaces de configuration.
Supervisor: Dr. Calvin Tcheka, University of Dschang, Cameroon.
B.Sc. in Mathematics and Computer Science
University of Dschang, Cameroon
Rank in class: 2nd / 100.
Scholarships, Grants, and Awards
- Alberta Innovates Graduate Scholarship, $31,000/year for three years, University of Calgary, 2023–2026.
- Indigenous and Black Momentum Scholarship in Science, $25,000, University of Calgary, 2022–2023.
- Graduate Assistant Teaching Excellence Award, Department of Mathematics and Statistics, University of Calgary.
- Student Research Presentation Award (Honourable Mention), Statistical Society of Canada Annual Meeting, 2026.
- FIRST Jobs: TechBOOST Internship, Technology Alberta, AI Systems Intern at VirtuClinic, 2024–2025.
- University of Dschang Special Academic Excellence Award.
- Best Graduating Student of Master 2 in Algebra, Department of Mathematics and Computer Science, University of Dschang, 2018.
- Laureate at AIMS Senegal, 2018.
- Mastercard Foundation Scholar, AIMS Senegal, 2018–2019.
- Google and Facebook Scholarship, AMMI Ghana, 2019–2020.
- Laureate at AMMI Ghana, 2019–2020.
- AIMS Mathematical Sciences for Climate Resilience Internship Program, May–October 2021.
Conferences and Forums
- SSC 2026, Statistical Society of Canada, McMaster University, Hamilton, Ontario, Canada.
- NeurIPS 2024, Vancouver Convention Centre, Canada.
- BIRS Workshop, Novel Statistical Approaches for Studying Multi-omics Data, Banff International Research Station, Canada, July 2025.
- CIMPA, Centre International de Mathématiques Pures et Appliquées, Yaoundé, Cameroon, 2018.
- 7th Heidelberg Laureate Forum, Germany, 2019.
- Future of Science Conference, Kigali, Rwanda, 2019.
- 11th Gene Golub SIAM Summer School, Theory and Practice of Deep Learning, South Africa, 2021.
- 8th Heidelberg Laureate Forum, digital participation, 2021.
- Hausdorff School, Foundational Methods in Machine Learning, Bonn, Germany, 2022.
- BioNet Conference, University of Calgary, Canada, 2025. Oral talk and poster presentation.
- BMB Advance Conference, University of Calgary, 2023. Talk on representation learning and transfer learning in genetics and omics.
Skills
Languages
English, French
Programming
Python, R, Java, MATLAB/Octave, SQL, NoSQL
Machine Learning
PyTorch, deep learning, optimization, computer vision, bioinformatics
Data and Systems
MongoDB, MySQL, Metabase, Git, GitHub, Excel, LaTeX
Online Certifications
- Machine Learning, Stanford University, Coursera.
- Introduction to Data Science in Python, University of Michigan, Coursera.
- Applied Machine Learning in Python, University of Michigan, Coursera.
- Natural Language Processing in TensorFlow, DeepLearning.AI, Coursera.
- Mathematics for Machine Learning: Linear Algebra, Imperial College London, Coursera.
- Introduction to Deep Learning, NRUHSE, Coursera.
- Technical Support Fundamentals, Google, Coursera.
- Business Metrics for Data-Driven Companies, Duke University, Coursera.
Work Experience
Prompt Engineer / AI Quality Control
Center for AI Safety, Outlier, and Scale AI Labs
Collaborating on improving large language model capabilities in reasoning, summarization, and general knowledge. Contributed to Humanity’s Last Exam, a multimodal benchmark designed to evaluate frontier AI systems on complex academic questions.
AI Technical Lead and Business Development
VirtuClinic Corporation, Alberta, Canada
Developed AI-powered automation systems and AI digital agents, including Digital Health Advisors, to enhance healthcare and wellness services. The work focused on lead management, patient engagement, business analytics, operational efficiency, and digital health innovation.
Graduate Teaching Assistant
Department of Mathematics and Statistics, University of Calgary
Provided teaching and instructional support, including tutorial delivery, laboratory supervision, office hours, grading, assignment support, and preparation of instructional materials.
Teaching Assistant in Deep Learning and Neuroscience / Production Team Member
Neuromatch Academy
Supported students in deep learning and computational neuroscience through technical mentoring, project guidance, and problem-solving support during the Neuromatch Academy summer school.
Data Scientist Intern
ICRISAT-MANOBI Africa, Senegal
Worked on digital solutions and data-intelligence services for African water and agricultural sectors, including monitoring and evaluation, dashboarding, data exploration, and decision-support analytics.
Freelance Teacher in Data Science and Machine Learning
Hamoye Tutor Franchise Program, Lagos, Nigeria
Planned and structured learning experiences, including curriculum mapping, lesson planning, individual learning support, and group-learning facilitation.
Data Engineer / MLOps Intern
Hamoye AI Labs
Supported machine-learning deployment workflows, including model production, testing, optimization for low latency, scalability, and data-processing readiness.
Global Intern in Data Analysis
TakenMind Inc.
Worked on data analytics and finance-related projects involving large-scale data management, machine-learning model building, and insight generation.
References
Dr. Quan Long
Assistant Professor, Department of Mathematics and Statistics; Department of Biochemistry and Molecular Biology, University of Calgary.
Email: quan.long@ucalgary.ca