Welcome to my Google Site
Note: I have recently returned from maternity leave (on a part-time basis, until Dec. 2020). This webpage is under review and might not be fully up to date when you visit it. 

I am based at the MRC Biostatistics Unit, Cambridge where I lead a small team of statisticians working into two themes: a methodological line of work linked to optimal (bandit) adaptive designs for clinical trials and an applied line of work linked to studies from Papworth Hospital clinical trial's unit. 

My research involves the developing of methodology for clinical trials that incorporates bandit dynamic optimisation ideas. In particular, my interests have been focused on developing Bayesian response-adaptive designs that use forward-looking algorithms to fully exploit learning from multiple treatments simultaneously. I am interested particularly in the use of this approach to the design of clinical trials for rare diseases, which poses substantial methodological difficulties as many of the existing approaches are not feasible due to patient recruitment constraints.  My future research plans involve further developing ideas on design and analysis for such novel experimental frameworks. 

 

Short Bio (in case you are curious): 

I have been based at the MRC Biostatistics Unit, Cambridge since 2013. For the past 5 years I have lead the statistical team at Papworth Hospital clinical trial's unit while continuing to work in my methodological interests. Before that I was awarded the (first ever) Biometrika post-doctoral fellowship. The fellowship is aimed at junior researchers in statistical theory and methodology, and aimed at those among the most outstanding recent PhD graduates who are capable of self-direction.  The two-year research fellowship programme I proposed was entitled: Bandit models for the optimal design of clinical trials. From January 2013- October 2014 I was a research associate in the Department of Mathematics and Statistics of Lancaster University, yet working from the MRC Biostatistics Unit, Cambridge, as part of a joint research project on the design of multi-arm multi-stage clinical trials Before that I was a postdoctoral fellow at BCAM (Basque Center for Applied Mathematics) for 4 months. I earned my Ph. D. in Business Administration and Quantitative Methods at Universidad Carlos III de Madrid in July 2012 and I obtained my Master degree in the same programme in September 2009. While I worked towards the completion of my Master courses and my dissertation I worked as a Teaching Assistant with duties assigned to both undergraduate and graduate courses in Statistics and Operations Research. 


What was my thesis about (in a few lines): 

My Ph.D. research focuses on Stochastic Dynamic Optimization Problems, specifically on the type of problems known as Multiarmed Restless Bandit Problems (MARBP), and how to solve them by means of Index Policy design. I had a focus on studying  MARBP with real-state variables, as well as in the algorithmic and computationally aspects of indexation methodology. My dissertation addresses two concrete applications of such problems arising in Sensor Management: multiple moving target tracking and smart target detection. For both applications, a theoretical MARBP formulation was proposed and based on them a novel dynamic scheduler, also near-optimal and tractable, was derived.  My Ph.D. research interests also include the use of index based heuristics to solve constrained sequential estimation problems with applications not only in sensor networks or wireless networks but specially in clinical trials design. For instance, in my thesis I have proposed deploying the restless bandit indexation methodology as an approximate and well performing method for solving partially observed Markov Decision Problems (POMDPs).




Note this website is based on my previous site at UC3M which went public for the first time on Monday 5th October, 2009 and which despite my lack of previous HTML programming experience, was designed and created on my own, in an attempt of professing the learning by doing philosophy. Then, it was relaunched after some updating and formatting into this new google site´s shape on Monday 21th October, 2012 and is going through a major update since April 2020. 

I intend to include here all the updated information on my current research activities and research papers that could be of interest to someone visiting this webpage.  Also, all kind of material which I have found useful at some point during my Ph.D. student years (ranging from highly philosophical discussions to down-to-earth practical tips) can be found at the miscellaneous tab.

Thanks for the visit! :)