Hanan Ather
Member of Technical Staff @Statistics Canada Statistique Canada
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WORK HISTORY
Member of Technical Staff @Statistics Canada Statistique Canada
Won International Association for Official Statistics Young Statisticians Prize 2025 for a Bayesian framework integrating LLMs with uncertainty quantification.• Built evaluation framework for membership inference, data leakage, and reconstruction attacks for production; developed mitigations including DP fine-tuning, federated learning, and constitutional filters.• Authored security frameworks for AI systems on confidential data; mapped attack surface (prompt injection, extraction, MIA, poisoning) and designed layered mitigations.• Member of Office of Responsible AI; Lead technical reviews of AI systems across government; contributed to Agentic AI frameworks and governance guidance to international bodies (UNECE, G7 GovAI, Mila, ISI).• Shipped an agentic SAS to Python code‑migration system (CLI + MCP server) with eval harness (auto‑generated tests + SAS/Python output & intermediate‑artifact diffs)
EDUCATION
University of Ottawa
Master of Science - MS, Mathematics and Statistics with Concentration in Statistics (Part-time)
University of Ottawa
Bachelor of Science - BS, Mathematics and Statistics
ABOUT HANAN ATHER
I am a Member of Technical Staff at the Centre for AI Research and Excellence (CAIRE) at Statistics Canada. I work on engineering and optimizing AI/ML systems deployed at scale in confidential-data settings, with end-to-end experience training, evaluating, and deploying ML products. My current focus is LLM evals, AI safety, and security.I work directly with federal partners to deliver effective technical solutions and tangible business outcomes. I am also a member of the Office of Responsible AI, where I lead technical reviews of AI systems across government and contribute to AI frameworks and governance guidance for UNECE & G7 GovAI. Prior experience in SWE (full-stack), data engineering, and ML systems engineering.
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