Resume
Diego Berdeja Suárez
Diego Berdeja Suárez is an accomplished academic with expertise in mathematical physics, particularly in algebraic structures associated with superconformal field theories in string theory. He has extensive experience teaching advanced mathematics at the University of Oxford, including real and complex analysis, topology, and string theory. He has also contributed to research in quantum lattice Heisenberg algebras and Hopf algebras, with his findings published in renowned journals such as the American Mathematical Society: Contemporary Mathematics.
Mr. Berdeja earned his Licentiate in Physics, summa cum laude, from Universidad Iberoamericana in 2016, followed by an MSc in Mathematical and Theoretical Physics with distinction from Merton College, University of Oxford, in 2017. He is currently pursuing a DPhil in Mathematics at St. John’s College, Oxford, where he is a Sir Ioan and Rosemary James Scholar.
His academic career includes roles as Stipendiary Lecturer in Mathematics at Christ Church and Corpus Christi Colleges, Graduate Teaching Assistant at Balliol College, and Tutor for several specialized mathematics courses at Oxford. He has delivered talks on topics such as BRST quantization, Seiberg-Witten theory, and Nekrasov partition functions.
In addition to his academic achievements, Mr. Berdeja has engaged in research internships at leading institutions such as CERN, Fermilab, and the University of Ottawa. His contributions include developing algorithms for particle decay track reconstruction and stress tests for high-energy physics experiments. He has also worked on humanitarian projects to support low-income communities in Mexico.
Mr. Berdeja is a regular speaker at seminars on mathematical physics and has published works such as Integral Presentations of Quantum Lattice Heisenberg Algebras. He is fluent in English, Spanish, and French and is skilled in C, C++, MATLAB, and other technical tools, with a deep interest in history, etymology, and sports.
Recently, Mr. Berdeja has developed an interest in the implementation of AI tools to solve logistics and corporate challenges, the legislation surrounding these technologies, and consultancy in AI technologies.
Diego Berdeja Suárez
Diego Berdeja Suárez is an accomplished academic with expertise in mathematical physics, particularly in algebraic structures associated with superconformal field theories in string theory. He has extensive experience teaching advanced mathematics at the University of Oxford, including real and complex analysis, topology, and string theory. He has also contributed to research in quantum lattice Heisenberg algebras and Hopf algebras, with his findings published in renowned journals such as the American Mathematical Society: Contemporary Mathematics.
Mr. Berdeja earned his Licentiate in Physics, summa cum laude, from Universidad Iberoamericana in 2016, followed by an MSc in Mathematical and Theoretical Physics with distinction from Merton College, University of Oxford, in 2017. He is currently pursuing a DPhil in Mathematics at St. John’s College, Oxford, where he is a Sir Ioan and Rosemary James Scholar.
His academic career includes roles as Stipendiary Lecturer in Mathematics at Christ Church and Corpus Christi Colleges, Graduate Teaching Assistant at Balliol College, and Tutor for several specialized mathematics courses at Oxford. He has delivered talks on topics such as BRST quantization, Seiberg-Witten theory, and Nekrasov partition functions.
In addition to his academic achievements, Mr. Berdeja has engaged in research internships at leading institutions such as CERN, Fermilab, and the University of Ottawa. His contributions include developing algorithms for particle decay track reconstruction and stress tests for high-energy physics experiments. He has also worked on humanitarian projects to support low-income communities in Mexico.
Mr. Berdeja is a regular speaker at seminars on mathematical physics and has published works such as Integral Presentations of Quantum Lattice Heisenberg Algebras. He is fluent in English, Spanish, and French and is skilled in C, C++, MATLAB, and other technical tools, with a deep interest in history, etymology, and sports.
Recently, Mr. Berdeja has developed an interest in the implementation of AI tools to solve logistics and corporate challenges, the legislation surrounding these technologies, and consultancy in AI technologies.