Michel d. S. Mesquita, PhD

Senior Research Scientist

Contact info

Email: michel.mesquita@icloud.com


PhD in Atmospheric Sciences (University of Alaska Fairbanks, USA)

MSc in Geophysics and Climatology (University of Bergen, Norway)

2011 Data and Models in Engineering, Science and Business (Massachusetts Institute of Technology, MIT, USA)

2012 Leadership Skills for Engineering and Science Faculty (Massachusetts Institute of Technology, MIT, USA)

2012 Ten Lectures on Statistical Climatology (University of Washington, UW, USA)

2013 Visiting Scientist Programme working on Bayesian Statistics Applied to Climate (National Center for Atmospheric Research, NCAR, USA)

2014 Fellow of the Royal Statistical Society (United Kingdom)

2016 Visting Scientist working on climate ecology (Norwegian Institute for Nature Research, NINA, Norway)

2016 Big Data: from Data to Decisions (Queensland University of Technology, FutureLearn)

2016 Bayesian Hierarchical Modelling (University of Reading, England)

2018 Venture School (University of Iowa, USA)

2018 Structuring Machine Learning Projects by deeplearning.ai (Coursera, USA)

2018 Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization by deeplearning.ai (Coursera, USA)

2018 Neural Networks and Deep Learning by deeplearning.ai (Coursera, USA)

2019 Convolutional Neural Networks by deeplearning.ai (Coursera, USA)

2019 Intel Openvino Toolkit Computer Vision Developer Workshop (Industry 4.0, Manchester, USA)

2020 Web Development, Computer Science CS50, Harvard University (Coursera, USA)

Research interests

Artificial intelligence, climate dynamics, climate ecology, Bayesian statistics and regional climate modeling


"Science is facts; just as houses are made of stone, so is science made of facts; but a pile of stones is not a house, and a collection of facts is not necessarily science." - Jules Henri Poincaré (1854-1912), French mathematician

Photo source: Gudrun Sylte (BCCR)

Professional development