Aziz Khanchi applies his extensive background in mathematics, machine learning and predictive analytics to solve the real-world data challenges faced by our clients. He knows first-hand what it means to be in the client’s shoes, having worked at Health Canada to analyze anonymized data.
He works with clients and datasets from a variety of industries but takes particular pride in his accomplishments with our Clinical Trial Transparency (CTT) business unit.
Here Aziz applies our proven methodology to the complex world of clinical trial structured data on behalf of multinational pharmaceutical companies. Clinical trial data can include thousands of variables within tens of datasets. All of it must be identified, classified and anonymized to ensure privacy is protected while preserving the utility of the data for further research intended to improve patient health.