Ehecatl Antonio Chanona was born in Mexico, graduated in Chemical Engineering from the UNAM University in México in 2013. While studying he worked at Procter & Gamble and was awarded with a scholarship by Stanford University to attend the Stanford Summer International Honors program at Stanford University, where he performed a dissertation on Dynamic optimization algorithms. His Doctoral studies in Chemical Engineering consists on using mathematical algorithms and artificial intelligence to optimize bioprocess efficiency with the aim of producing more environmentally friendly biofuels. His thesis won the Danckerts-Pergamon award for the best PhD dissertation on his department in the University of Cambridge of 2017.
He is currently a Research Fellow at the Centre for Process Systems Engineering and next month will be the director of the optimization and Machine Learning for Process Engineering at Imperial College London.