Clinical research

UPDATE: Canary has been released to the public. Here is the paper that should be cited.

During my postgraduate education at Boston University, I took a keen interest on the clinical research which my bench work was complementing. After all, the laboratory was also the headquarter for some of the most influential androgen trials ever done. When the laboratory moved to Partners HealthCare, I attended a significant number of post-graduate courses on clinical research, taught by medical world leaders, such as the famous Design and Conduct of Clinical Trials at Massachusetts General Hospital, and the Network Medicine classes at the Harvard Clinical and Translational Science Center.

Still at Brigham and Women's Hospital, I collaborated with Dr. Alexander Turchin, a leading researcher in the field of natural language processing applied to medical records. My contribution was aimed at making his medical notes processing tools accessible to a larger audience, by converting an unwieldy command-line application into a graphical interface-led Windows program. Here is a demonstration of my work, as recorded during a presentation I gave at the Partners HealthCare Clinical Informatics R & D Seminar Series:

Text processing core functions of the application have been validated, and subsequently yielded novel insights on a series of medical conundrums, such as an unexpectedly high rate of muscular side effects of statins in outpatients at Partners HealthCare. In addition to the accessible graphical interface, my work included reorganization of the project around a Git repository and a centralized list of issues. The text processing application is approaching release to the public. The graphical interface I built was already showcased at the American Medical Informatics Association annual meeting in 2015 and 2016.