Rachel Li employs her machine learning and engineering expertise to conceive, build and refine the tools used by our Clinical Trial Transparency (CTT) client services team. These tools help trial sponsors meet their obligations for transparency and privacy.
Rachel’s academic research focused on how machine learning could be used to automate the laborious and complex process of anonymizing unstructured data – such as that found in long-form clinical trial documentation.
With the arrival of EMA Policy 0070, Rachel came to appreciate just how much impact her research could have to address critical privacy concerns in healthcare. Our industry-leading reputation in data anonymization made Privacy Analytics the obvious choice for Rachel when she decided to move to the private sector.