Álvaro Calle Cordón

Álvaro has a strong academic background in quantitative fields and extensive experience in R&D projects in academy and industry. He completed a MS in Physics and Mathematics and a PhD in theoretical physics from the University of Granada. He has been a research scientist and lecturer at internationally renowned research centers in the USA and European universities. He is author of more than 20 publications in peer-review journals and speaker at numerous international conferences.

His initial interests in theoretical physics switched toward more applied fields several years ago. He then focused into the implementation of advanced analytic solutions across different industries and sectors using AI and Big Data Technologies.

He also holds a MS in Statistical Learning and Data Mining and recently he has completed a MS in Financial Engineering. He has a natural passion for science and technology and he loves sharing his knowledge.

CORPORATE EXPERIENCE

• Data Scientist Lead / Artificial Intelligence Consultant @ QUANT AI Lab, 2022 – Present

• Data Scientist @ Stratio Big Data, 2019 – 2022

• Senior Data Scientist @ CAF (Construcciones y Auxiliar de Ferrocarriles), 2017 – 2019

• Mathematician & Data Scientist @ CEMOSA R&D, 2016 – 2017

ACADEMIC EXPERIENCE

• Adjunct Professor, IE University, 2020 – Present

• Adjunct Professor @ Department of Applied Physics II, University of Málaga, 2015 – 2016

• Research scientist @ Physics Department, University of Murcia, 2013 – 2014

• Postdoctoral researcher @ Theory Center, Jefferson Laboratory, Virginia, USA, 2011 – 2013

• Fellow PhD candidate @ Department of Atomic Physics, University of Granada, 2006 – 2010

ACADEMIC BACKGROUND

• MS in Financial Engineering – WorldQuant University, 2020

• MS in Statistical Learning and Data Mining – UNED Foundation, Spain, 2015

• PhD. in Physics, University of Granada, Spain, 2010

• MS in Physics and Mathematics, University of Granada, Spain, 2008

• BS in Physics, University of Granada, Spain, 2005