Mathematical techniques in Data Science, Engineering and Finance


We are a group of mathematicians and data scientists interested in helping during the analysis and decision-making processes. We know that many organizations today face challenges whose complexity originates either from the vastness of the data they require to process, or from the uncertainty generated by choosing the right path. Our job is to study these problems from the point of view of those mathematical structures or constructions that offer a solid answer.


Some of our areas of expertise are:


  1. Deep learning

  2. Extreme Value Theory

  3. Signal processing (Fourier and Wavelets)

  4. Stochastic Calculus

  5. Topological Data Analysis

  6. Reinforcement Learning

  7. Control Theory

  8. Generative Adversarial Networks

  9. Anomaly Detection

Meet the team

Ernesto Lupercio

External consultant

PhD in Mathematics, Stanford University External Advisor.

Dr. Ernesto Lupercio obtained his doctorate in Mathematics from Stanford University in 1997. He is Professor of Mathematics at the Center for Research and Advanced Studies in Mexico City.

Dr. Lupercio is the author of more than 20 research articles in various areas of mathematics and physics, both pure and applied, ranging from string theory and topology to complexity theory and algorithmic process theory. He is also the author of various books. He was a member of the Mexican team of the XXVIII International Mathematical Olympiad and winner of the Lázaro Cárdenas Medal for excellence in his university studies at the National Polytechnic Institute, Mexico.

He has been awarded the TWAS-ROLAC Prize for Scientific Research, the Moshinsky Foundation Prize in Mathematics, and most notably received the 2009 Ramanujan Prize from the International Center for Theoretical Physics (Trieste), the Abel Fund (Oslo) and the International Mathematical Union (Berlin).

He founded and led a group on Analytics and Artificial Intelligence, which works at the interface of the academy and the development of the restructuring of the industry through Data Analysis and solutions via Intelligence

Artificial that increase the efficiency of business processes, giving high added value. His analytical group employs physicists and mathematicians in a highly creative innovation environment for business and industrial applications. He is a member of the academic board of the Institute of Mathematical Sciences of the Americas in Miami, Florida.

Alfonso Ruiz

Studious and passionate for mathematics, his specialty is Mathematical Logic and its applications.


He studied mathematics at UNAM, the Université d'Orsay and Oxford University. During his career he has visited and exhibited his work in various institutions such as UCLA, Universität Münster, Notre Dame University, Institute Henri Poincaré, IHES, CIRM, Sophus Lie Conference Center, CIMAT, University of Miami, among others.


He is currently the Director of the Bourbaki College of Mathematics and dedicates his time to making it a world-class teaching and research center.

Motivated by a Lectureship in Mathematical Analysis at Corpus Christi College, Oxford, as well as various mentoring to students from American institutions (Amherst College, Williams College, Princeton University, University of Pennsylvania, Stanford University, among others) at Worcester College, Stanford House and Exeter College, Oxford, devised a plan to fund research in mathematics based on teaching and consulting in mathematics to individuals and corporations.



He completed his PhD in pure mathematics at Oxford University, with a specialty in topology. A postdoctoral fellow at the University of Texas at Austin in the same area. She has recently worked as a consultant on projects related to data science in the public and private spheres.

Ana Isabel Ascencio

Ana Isabel is a Data Scientist with more than 20 years of experience in data analysis for decision making. He studied Electromechanical Engineering at the Universidad Iberoamericana León, Statistical Methods at the Center for Research in Mathematics (CIMAT) and Data Science at the Center for Research and Innovation in Information Technology (INFOTEC). She is currently a consultant in Data Science and Advanced Analytics.


CDMX, México.

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