Matthew Gluckman '25

I chose this research project due to my interest in medicine, biology, computer science, statistics, and data science. This project allows me to blend these disciplines, offering a novel approach to improving clinical trial outcomes, ultimately benefiting various stakeholders in healthcare. By enhancing the prediction of trial outcomes, we can streamline the drug development process, leading to faster, more cost-effective treatments. For investors and biopharma companies, this means a more efficient allocation of resources, reduced drug development failures, quicker approvals, and higher returns on investment. Societally, optimizing resource use in drug development can free up capital for other critical areas while accelerating the availability of life-saving treatments. For patients, improved prediction in drug development translates to quicker access to therapies, reducing the physical burden of disease. Ultimately, this research aims to make the healthcare system more efficient and responsive to the needs of all stakeholders.