I am an Assistant Professor at the Department of Scientific Computing at Florida State University, currently working on Machine Learning algorithms to improve Data Assimilation in Ocean Models as well as for the prediction of subsurface fields from satellite data. Other areas of research are Geographic Information Systems on the web for the visualization of scientific data. Previously I worked as an Assistant Scientist at the Department of Radiation Oncology at the University of Miami working on Deep Learning algorithms for the automatic detection of prostate cancer from multi-parametric MRI images and genomic data.Additionally, I was an assistant professor at the National Autonomous University of Mexico (UNAM), in the Center for Atmospheric Sciences from 2016 to 2018. At that time I thought Programming and Analysis of Geophysical Data and worked on multiple projects, most of them available http://pronosticos.unam.mx/ During my Ph.D., I worked on the segmentation of breast lesions from Dynamic contrast-enhanced MRI scans. I focused my research on improving the performance of well-known level set methods by doing parallel programming in the GPU using OpenCL and OpenGL (for visualization).For my first master's in 2007, I worked in the classification of land use using satellite images and machine learning. We proposed a semi-supervised algorithm, based on Naive-Bayes, that uses the expected probability of the predicted classes to generate new labeled examples. These newly classified examples are used to re-train the classifier and improve its performance. I believe you need to love the work you do to be happy, and at the same time, there are many important things in this world beside work. Find a balance in life.