Wolfram Computation Meets Knowledge

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Christophe Pakleza

Christophe Pakleza

Christophe Pakleza has been using Mathematica extensively since 1996. For his academic research in the fields of computational biology and bioinformatics, Mathematica helped him systematically simplify the scientific and technical workflow of his projects, rapidly test ideas and algorithms, design prototypes, and eventually build toolkit packages. Notably, an original part of his PhD work thesis was a Mathematica-based all-in-one molecular modeling software package, S-mol, to implement a new modeling methodology (biopolymer chain elasticity). He presently delivers freelance consulting services in mathematical solutions and software applications for custom R&D projects, using Mathematica as the main development and deployment platform.

Pakleza has three years of experience teaching practical classes for undergraduate and graduate students. Mathematica has been an important tool in his teaching and designing of student exercises in mathematics, biochemistry, and statistics courses at Pierre-and-Marie-Curie University (Paris VI), Paris Diderot University (Paris VII), and Paris-Nord University (Paris XIII). He has also taught French lessons for colleagues at the Institute of Biochemistry and Biophysics, Warsaw, Poland.

Organization:

solmath

Degrees:

BA in Theoretical Physics, University of Paris-Sud (Paris XI), Orsay
Master’s in Molecular Biophysics, Pierre-and-Marie-Curie University (Paris VI), Paris
PhD in Interfaces of Chemistry, Physics, and Informatics with Biology, Pierre-and-Marie-Curie University (Paris VI), Paris

Languages:

French, English, Polish

Interests:

Interdisciplinarity, multidisciplinary studies, computer visualization, software development, scientific popularization, recreational mathematics, music