Seydou - Data Scientist JAVA

Ref : 200812T001

Email vérifié

75014 PARIS
Data Scientist, Développeur, Consultant technique (36 ans)
Télétravail si le client est à plus de 2h de son domicile
Mandataire social de sa structure Freelance (SARL, SAS, EURL, etc)

Compétences

PYTHON

JAVA

LINUX

C++

JIRA

DOCKER

Google Cloud Platform

AMAZON AWS

Angular

Data science

Expériences professionnelles

Education & Professional Experience

Senior Software Engineer, Machine Learning & Data science,
Djatéminin (Freelance), Paris, France. Jun 2020 – Present,
• Description: Consulting & services in the following areas: Machine
Learning & Data Science; Scientific computing; Cloud infrastructure
automation (AWS & GCP); R&D in Computer Science and Bioinformatics.

R&D Consultant. Neoxia | Seconded to the CEA-Saclay [july 2016- june 2019]. Jul.2016-Nov.2019
Description: Development of Numerical Simulation methods for Molecular Modeling & Engineering
Laboratory: Laboratoire de Biologie Structurale et Radiobiologie. CEA/ DRF/ISVFJ/LBSR
Collab. ● Raphael GUEROIS, Jessica Andreani, Michel MASELLA & Philippe CUNIASSE| CEA/ DRF/ISVFJ/LBSR
Postdoc. Commissariat à l’Énergie Atomique et aux énergies alternatives. Nov.2014-June.2016
Project: Computational Design of Peptidomimetic Inhibitors
Laboratory: Laboratoire de Biologie Structurale et Radiobiologie. CEA/ DRF/ISVFJ/LBSR
Description: Molecular Modeling and Optimization strategies toward the design Protein-Protein interface inhibitor
design
Supervisors: Dr. Raphaël Guerois
PhD. Institut National des Sciences Appliquées, Toulouse University. 2011-2014
Thesis Title: Computational approaches towards Protein Design
PhD School: Sciences Ecologiques, Vétérinaires, Agronomiques et Bioingénieries
Laboratory: Laboratoire d'Ingénierie des Systèmes Biologiques et des Procédés - LISBP
Description: Combinatorial Optimization algorithms and search heuristics based on Cost Function Network
Optimization techniques for Computational Protein Design
Supervisors: Dr. Isabelle André & Dr. Sophie Barbe
Visiting scholar: Donald Laboratory, Duke University, USA. January-March 2013
Collab. ● Thomas. Schiex | MIAT-INRA, Toulouse, France
● Bruce Donald | Donald Laboratory, Duke University, USA
Master of Bioinformatics and Biostatistics, École Polytechnique-Palaiseau. 2009-2011
Subject: Computational directed evolution: toward genetic code engineering.
Internships: 1&2
nd years (2x 4months)
Laboratory: Biochemistry laboratory, École Polytechnique-Palaiseau
Description: Molecular modeling and Computational Design of tyrosyl-tARN synthetase
Supervisor: Pr. Thomas Simonson
Undergraduate Degree of Biology & Computer Science, Strasbourg University. 2006-2009

Études et formations

Technical Skills & Expertise

Computer Science: ● Combinatorial Search & Optimization, Constraint Programming
● Artificial Intelligence & Operational Research
● Deep Learning Specialization Certificate - deeplearning.ai on Coursera. (5 courses)
● Machine Learning Certificate - Stanford University on Coursera.
● Architecting with Google Cloud Platform Certificate - Google Cloud on Coursera. (4 courses)
Bioinformatics &
Computational Biology
● Computational Structure-based Protein Design
● Molecular Modeling & Docking
Tools for Molecular
modeling & design:
● Rosetta, Amber, Xplor, PyMOL, Osprey, Modeller
Software development: ● C/C++, Boost.Compute (C++ API to OpenCL)
● Perl, Java, Python, R, Shell scripting (Bash, Csh, Grep, Sed, Awk)
● Docker, GIT/SVN, Qt, PBS/SGE,Eclipse
Languages: ● Bambara (mother tongue), French (fluent), English (read, written, and spoken)

Oral & Poster Communications
● Sophie Barbe, Simoncini David, Antoine Charpentier, Seydou Traoré, Isabelle André, Clément Viricel, Juan Cortés, David Allouche,
Thomas Schiex, Computational protein design to accelerate the conception of fine-tuned biocatalysts
● Traoré S, Roberts K-E, Allouche D, Donald B-R, André I, Schiex T and Barbe S. Cost Function Network Optimization: exact
algorithms towards Computational Protein Design. 4ème Congrès du GT Enzymes - 19ème congrès du GGMM, Sète (France), May 25-28,
2015.
● Viricel C, Traoré S, Simoncini D, Allouche D, de Givry S, André I, Schiex T and Barbe S. Computational Enzyme Design through
deterministic search and counting methods. 4ème Congrès du GT Enzymes - 19ème congrès du GGMM, Sète (France), May 25-28, 2015.
● Traoré S, Allouche D, André I, de Givry S, Katsirelos G, Schiex T and Barbe S. A New Framework for Computational Protein
Design through Cost Function Network Optimization. JOBIM 2013, Toulouse, July 1-4, 2013.
● Traoré S, Allouche D, André I, de Givry S, Katsirelos G, Schiex T and Barbe S. Cost Function Network Optimization based
Framework for Computational Protein Design. GGMM 2013, Saint-Pierre d'Oléron, May 12-23, 2013.
● Traoré S, Topham C, Barbe S, André I. The contribution of structural computational biology to the study and the design of
enzymes. GenoToul2012, Toulouse, Nov. 23, 2012.
● Traoré S, Allouche D, André I, de Givry S, Katsirelos G, Barbe S, and Schiex T. Computational Protein Design by weighted
constraint satisfaction. Journée de l’Ecole Doctorale SEVAB, Toulouse, Nov. 6, 2012.
● Allouche D, Traoré S, André I, de Givry S, Katsirelos G, Barbe S, and Schiex T. Computational Protein Design as a Cost Function
Network Optimization Problem. 18th International Conference on Principles and Practice of Constraint Programming, Québec, Canada, Oct 8-12,
2012 (CORE: A).
● Allouche D, Traoré S, André I, de Givry S, Katsirelos G, Barbe S, and Schiex T. Cost function network and Quadratic
programming: Connections & preliminary results on Computational Protein Design. Workshop on Nonlinear Optimization and Constraint
Programming, Québec, Canada, Oct 8, 2012.
● Traoré S, Allouche D, André I, de Givry S, Katsirelos G, Schiex T and Barbe S. Computational Protein Design by weighted
constraint satisfaction. EMBO Conference, Catalytic mechanisms by Biological Systems, Groningen, The Netherlands, Oct 7-10, 2012.

Languages
• French (bilingual)
• English (fluent)
• Bambara (native)