Harnessing the power of data science and AI to drive innovation and shape an inclusive future
Thought Leadership
Participated in Responsible AI Efforts
With the growth of generative AI applications, more human-centric design is needed to mitigate unintended consequences of poorly architected AI solutions. This public talk was prepared while Dr. Nuri was employed at Visa.
Reviewed Software Tools for Climate-Related Disclosures
Published a review of the role of data & software in standardising climate disclosures. It is critical to use rigorous approaches to make the supply chains powering consumption more sustainable.
Bespoke AI Solutions
Currently Developing AI tools for the Medical Community
Applying retrieval-augmented generation (RAG) to parse peer-reviewed medical articles, ensuring access to reliable, accurate, and expert-curated medical information. This approach surpasses the limitations of the open web, where data often lacks verification and consistency, by leveraging the credibility of peer-reviewed literature. It is particularly valuable for studying rare genetic conditions, reducing misinformation, and enhancing the precision of AI-driven medical data analysis.
Data Science Educational Content
Creating Fair Human-Centric AI
Fairness by design tutorial in python, analyzing different types of approaches to embed fairness in machine learning tools.
Quantifying Skills Gaps with Data
Text mining techniques and their application in analyzing organizational skills gaps with suggestions to close them.
Association Analysis for Marketing
Python tutorial on the use of association analysis tools for finding similar items that uses purchase on e-commerce sites.