The preferred treatment for kidney failure is transplantation. However, the demand for donor kidneys is far greater than supply. In the US, roughly 35,000 people are added to a waiting list of approximately 100,000 each year, while only 16,000 leave due to receiving a kidney. Demand is increasing worldwide.
Kidney exchange is a recent innovation that allows patients who suffer from terminal kidney failure, and have been lucky enough to find a willing but incompatible kidney donor, to swap donors. The algorithms and code we develop at CMU currently run the US nationwide kidney exchange program (facilitated through UNOS); this program now includes over 140 transplant centers and matches on a biweekly basis.
There are many open problems in kidney exchange—in operations research, economics, policy, and medical data mining. Feel free to get in touch if any of these strike your fancy!
With the increasing popularity of non-linear TV and the introduction of new content delivery mechanisms, monetization in the TV space is becoming more complex. With my advisor Tuomas Sandholm, I am designing a new marketplace for advertising sales that uses optimization to tame this complexity from the human's perspective—while increasing overall market efficiency from a computational economics point of view.
We have pilot programs under way with two of the nation's largest MSOs, and are currently specifying a pilot with a large broadcast TV content provider.
We're working on the industrial side of things first; check out Optimized Markets for details.
We have shown that large-scale analysis of terror groups benefits from the use of current computational analysis techniques through a variety of theoretical and real-world case studies, including:
To discuss these projects in greater depth, please get in touch: