ABOUT ME
I am a PhD in Mathematics and a passionate researcher in biostatistics with an exciting transition from mathematics and statistics to computational biology and genetics. Science fascinated me since I was a child. I still remember my first Cell Biology lesson at school where I imagined cells orchestrating all biological processes -everything makes sense, I thought. Following this scientific interest, I graduated in Mathematics (2012) and Statistics (2014), in an attempt to describe and understand quantitatively the “molecular world” and unveil its complexities. I further widened my academic training with a Master in Mathematical Research (2015) and I started my PhD Thesis in Biostatistics soon after (2106) under the supervision of Dra. Rueda and Dr. Fernández.
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During these years as a proactive trainee researcher, I have focused on the field of statistical genetics and chronobiology, with demonstrated expertise in gene rhythmicity detection and directional statistics, cell migration movement analyses in wound healing and high-throughput microarray and RNA-Seq data analyses. More specifically, we developed a general statistical framework, based on Order Restricted Inference, to analyse and face with different rhythmicity issues, such as rhythmicty detection or temporal order estimation. To reinforce this methodology, we developed a bootstrap-based approach to robustly detect rhythmicity. More recently, motivated by the analysis of circadian gene expression data, we also proposed a parametric model with promising applications in biology and physical sciences. Our team believe in knowledge sharing and internationalization of scientific results. Thus, our research has been published in several high impact journals and it is regularly presented in conferences and workshops, with more than eighteen presentations in national and international conferences.
At the personal level, I was awarded with the 2019 Best Young Statistician Award at the Spanish Biometric Conference, with the 2017 BiostatNet Young Research Award and I was selected by the Scientific Committee of European Young Statisticians Meeting (EYSM) to be one of the two Spanish representatives in its biannual international event, to be held in July 2019. In addition, I was conceded an FPU grant that allowed me to do a research stay at the Public School of Health of University Pittsburgh, USA, in 2018. In 2019, the International Mentoring Foundation for the Advancement of Higher Education (IMFAHE) awarded me with a Woman in STEM Fellowship to do a research stay at the Division of Sleep Medicine of Harvard University.
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My research profile is complemented with teaching and dissemination activities. Since the spring semester of 2018 I teach in the BScs of Mechanical Engineering and Industrial Organization Engineering as a graduated teaching assistant of the Department of Statistical and Operations Research of the University of Valladolid. In addition, as a member of the Mathematics Research Institute of the University of Valladolid (IMUVa), I usually take active part in several innitiatives to promote Science, such as 'Pint of Science' or the 'Mathematical Olympiad'. Finally, as mentee student of the IMFAHE programe I regularly participate in courses and internationalization activities such as the 'IMFAHE Shark Tank Competition', in which together with other four PhD candidates from Spanish universities, we won the first award for 'MySweetHealth' project, an entrepreneurial idea to develop an app that helps diabetic people to 'safely' eat at a restaurant.
