Nicolas Omont
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Professional experience

  • 2020-... : Associate director, Artelys
  • 2019-2020 : Product Manager, Dataiku
  • 2015-2019 : iTesla R&D project leader, RTE, Versailles and Paris-La Défense.
    -  Perimeter : computation for the grid safety from real time to D+1.
    -  Resources : around 10 full-time equivalents.
    -  Technological transfer : participation to innovation industrialization and to change management.
    -  5 European partners : conception and follow-up of technical programs, contract negotiation.
    -  Internal and external communication : organization of a 2-days yearly workshop for 50 persons.
    -  Coordination of the development of automatas to handle real-time grid congestions.
    - IEEE PES French chapter secretary.
  • 2012-2015 : R&D engineer, RTE, Versailles.
    -  Development of computation modules for the automation of consumption forecasts.
    -  Design and implementation of an algorithm that decides the daily price of electricity for 400 000 customers.
    -  Realization of an adversarial statistical analysis on demand response side effects.
  • 2009-2012 : Decision mathematics consultant (senior), Artelys, Paris, France.
    - Leader of a European expert team in charge of the theoretical and experimental validation of an improvement to the electric power exchange coordination modelling in the CWE Market Coupling project. The corresponding potential social welfare increase is above 10 M€/year.
    - Responsible at Artelys for the set up of the EU-funded collaborative research project iTesla on intelligent Tools for Electricity Transmission System Operator (TSO) operations. Based on High-Performance Computing, the tools tackled the challenges raised by the increase of renewable energy at the European scale, from 2 days before operation to real-time.
    - Responsible at Artelys for the definition of IOMCA, a 3-year research project on applying state-of-the-art MCTS (Monte-Carlo Tree Search) algorithms to intelligent energy storage control. Project in collaboration with the LRI TAO team (INRIA, CNRS, University of Paris-Sud).
    - Coordinator of the non-linear solver KNITRO first level support service : several hundreds of users worldwide with questions ranging from troubleshooting (C, C++ and JAVA API) to modelling and algorithmic topics. Participation to the committee in charge of KNITRO technical development plan.
    - Realization of electric power system dynamic simulations : (a) modelling of power systems (generation, transmission, consumption, controllers and automata) ; (b) post-contingency stability assessment through simulations with a time resolution lower than 0.1 s using EUROSTAG ; (c) statistical analysis using the R language.
    - Design and implementation of a telecom traffic time series forecasting tool. Use of OPL, SAS and TERADATA SQL for queries on databases with more than 1 billion records. The tool was operationally used. It improved the detailed allocation of investments while guaranteeing the Quality of Service.
  • 2006-2008 : Decision mathematics consultant (junior), Artelys, and Ph.D. student, LRI (University of Paris-Sud) and Epigenomic Project (University of Evry), Paris, France.
    - Participation to the validation of the feasibility of temporally and spatially differentiated electric power transmission tariffs for the French TSO RTE. If used, such tariffs would give better price signals to users. The feasibility was proven thanks to a theoretical analysis based on mathematic programming that is included in my Ph.D. thesis and thanks to a numerical analysis for which I designed and implemented a decomposition algorithm to solve a large non linear problem with AMPL/KNITRO.
    - Implementation of algorithms in C++ to support a negotiation between European electricity TSOs. In particular, I simulated power grid flows at the European scale.
    - Participation to the improvement of a gas transportation network investment optimization tool for GDFSUEZ. I analyzed theoretically the problem partial convexity. Thanks to this, I designed a specific 2 stage algorithm and implemented it in MATLAB. It was then transferred to operational teams.
    - Design and implementation of the models of a logistic planning analysis tool. I used JAVA for heuristics and XPRESS MOSEL for Mixed Integer Programming modelling. It is now routinely used by the French army for dimensioning studies.
    - Realization of statistical studies and models of a large hotline recall behaviour using SAS. It challenged the common thought about the intra-day shape of the demand without recalls with important implications for call centre team scheduling.
    - Realization of a statistical study to model the choices of interns (specialty, location) after the French competitive exam for medical internship. I used SVM, classification trees, and logistic regression.
  • 2004-2005 : Ph.D student, Serono Genetics Institute (now Merck Serono) and “Statistics and genome” lab., Evry, France.
    - Design and implementation of a statistical analysis tool for genome-wide association studies. It was functionally validated and used to challenge the main tool.
    - Parallel implementation of a Monte-Carlo based statistical test on a distributed architecture with PERL and CONDOR.
  • 2003 (6 months) : Information system auditor / Intern (Master thesis internship, data analysis for general audit offices), Ernst & Young, Paris, France.
  • 2002 (3 months) : Intern on robust optimization of telecommunication networks (Design and implementation in C++ of a heuristic), Atesio and Z.I.B, Berlin, Germany.
  • 1999 (9 months) : Army officer (paratrooper training and helping conscripts to find jobs), French army, Rouen, France.
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