Adaptive clinical trials treat patients more effectively by using data from previous patients to inform the treatment of future patients in a seamless manner. By building models that include patient covariates, it is possible to make more informed treatment decisions and to learn how different patient groups respond to a treatment.
For over a decade, I worked at MD Anderson Cancer Center, the world’s largest cancer center, in the department of biostatistics. This gave me the opportunity to be involved with dozens of clinical trials in roles ranging from initial design and simulation to conduct, support, and analysis.
In addition to my work at MD Anderson, I have consulted for pharmaceutical companies regarding adaptive clinical trial design and conduct. I have also worked with biotech companies to mathematically model aspects of patient physiology.
I taught short courses in Bayesian clinical trial software at L’Institut Bergonié in Bordeaux and at University of Puerto Rico in San Juan. I have also given shorter presentations on clinical trial software at Vanderbilt University and University of Houston.
Some of the clinical trial software I have contributed to is available here.
A few of my publications in clinical trial design are listed below. See a full list of publications and abstracts here.