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		<h3><a href="http://sestelo.github.io">sestelo.github.io</a></h3>

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			<a href="01_aboutme.html"><strong>About me</strong></a> &nbsp; &nbsp; &nbsp;
			<a href="02_research.html"><strong>Research</strong></a> &nbsp; &nbsp; &nbsp;
			<a href="03_teaching.html"><strong>Teaching</strong></a> &nbsp; &nbsp; &nbsp;
			<a href="04_software.html"><strong>Software</strong></a> &nbsp; &nbsp; &nbsp;
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		<p><br> <br> <br> <br> <br> <br></p>


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			<a href="mailto:sestelo@uvigo.es">sestelo@uvigo.es</a><br /><a href="http://sestelo.github.io">sestelo.github.io</a> <br /> <a href="http://sidor.uvigo.es">SiDOR group, Uvigo</a><br />
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			Marta Sestelo<br/><a href="https://www.gradiant.org/?lang=en">Gradiant</a><br />University of Vigo<br />
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			<!-- <h2><a name="about-me"></a> About me</h2>
			<p>Since January 2018 I am a Senior Data Scientist at Gradiant (Galician Research and Development Center in Advanced Telecommunications). Previously, I was a Postdoctoral Researcher at the Centre of Mathematics (CMAT) of the University of Minho. I hold a PhD from the University of Vigo in Statistics and O.R. I am focused on the development of new methodologies and algorithms linked with statistics. I am interested in  estimation and inference methods of flexible models, in developing practical tools for data analysis and in gaining better understanding of real life issues through statistical knowledge. At the moment, my lines of research are closely related to computational statistics, particularly,  software development, feature selection, applied predictive modeling, nonparametric curves estimation, clustering, model performance, testing procedures, bootstrap resampling methods and applications to different areas of knowledge.</p>
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			<!--  <h2><a name="about-me"></a> About me</h2>
			<p>Since January 2018 I work at Gradiant (Galician Research and Development Center in Advanced Telecommunications). I am Technical Manager of Data Analytics & AI. Furthermore, I am a Lecturer at the Department of Statistics and O. R. at University of Vigo. Previously, I was a Postdoctoral Researcher at the Centre of Mathematics (CMAT) of the University of Minho.  I hold a PhD from the University of Vigo in Statistics and O.R. I am focused on the development of new techniques, methodologies and algorithms linked with data analysis and artificial intelligence, particularly in the fields of machine learning, computational statistics, spatial analysis, time series analysis, survival analysis, software development and cybersecurity. My interest is moved in the resolution of real life problems throughout (big)data science and intelligent systems. At the moment, my lines of research are closely related to feature selection, predictive modeling, nonparametric curves estimation, clustering, model performance, testing procedures, bootstrap resampling methods, simulation process and optimization, all of them with applications to different areas of knowledge. Recently, I have co-founded WiMLDS Galicia - Women in Machine Learning & Data Science, see <a href="http://wimlds.org/about-the-galicia-team/">http://wimlds.org/about-the-galicia-team/</a>.</p>
			<p><br></p>
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			<h2><a name="about-me"></a> About me</h2>
			<p>I am an Associate Professor (Profesora Titular) at the Department of Statistics and O. R. at University of Vigo.  Previously, I worked for about 3 years as Technical Manager of Data Analytics & AI at Gradiant (Galician Research and Development Center in Advanced Telecommunications) and, before that, I was a Postdoctoral Researcher at the Centre of Mathematics (CMAT) of the University of Minho. I hold a PhD from the University of Vigo in Statistics and O.R. I am focused on the development of new techniques, methodologies and algorithms linked with data analysis and artificial intelligence, particularly in the fields of machine learning, computational statistics, time series analysis, survival analysis, software development and cybersecurity. My interest is moved in the resolution of real life problems throughout (big)data science and intelligent systems. At the moment, my lines of research are closely related to feature selection, predictive modeling, nonparametric curves estimation, clustering, model performance, testing procedures, bootstrap resampling methods, simulation process and optimization, all of them with applications to different areas of knowledge. Recently, I have co-founded WiMLDS Galicia - Women in Machine Learning & Data Science, see http://wimlds.org/about-the-galicia-team/.</a>.</p>
			<p><br></p>


			<p>My complete cv can be downloaded <a href="https://github.com/sestelo/sestelo.github.io/blob/master/m_sestelo_cv_tech.pdf?raw=true">here</a> and a brief summary of it <a href="https://github.com/sestelo/sestelo.github.io/blob/master/m_sestelo_cv_tech_summary.pdf?raw=true">here</a>.</p>
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