Timothé Krauth

Experience

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  Diehl Group

  Jun 2018 - Aug 2018

  Software Developer Intern

  Development of an application with WinDev in order to assist the processing of Data basescoming from the production department

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  EDF

  Jun 2019 - Sept 2019

  Data Science Intern

  Statistics and machine learning internship at the DOOAT (optimisation Upstream/Downstream and trading direction)• Key Focus: Deepened understanding of the primary factors influencing French electricity consumption.• Model Development: Created an explanatory model and built a predictive framework for French electricity consumption, utilizing high-dimensional regression models (Lasso Ridge) in R.• Weather Forecast Data Study: Conducted a comprehensive data science analysis to enhance the utilization of weather forecast data in consumption forecasts.• Tool Development: Engineered a weather forecast analysis tool, directly contributing to the assessment of data quality from weather providers.• Data Analysis: Analyzed weather data from new digital platforms, simulating their potential value in predicting electricity consumption and renewable production forecasts. Show less

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  Thales Alenia Space

  Jul 2020 - Dec 2020

  Deep Learning Research Engineer Intern

  Final year internship - Reasearch department.• Researched and developed representation learning algorithms through autoencoders tosolve physical inverse problems of antenna array beamforming equations to optimize timeand space efficiency of onboard satellite systems.

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  ONERA - The French Aerospace Lab

  Feb 2021 - Apr 2024

  Doctoral Student

  PhD program in data science and applied mathematics in the information Processing and Systems department (DTIS).Supervision: Jérôme Morio and Xavier Olive.Dissertation: Deep Generative Modelling for Mid-Air Collision Probability EstimationNoticable conferences: • AMLD EPFL 2024, Lausanne, Switzerland.• 15th USA/Europe Air Traffic Management Research and Development Seminar, Savannah, USA.• EASA European Academia Conference 2023, Cologne, Germany.Resulted in 8 papers and 7 presentations. Show less

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  ZHAW School of Engineering

  Feb 2021 - now

  • Designed, implemented and deployed a multi-objective CNN-LSTM architecture for 4Daircraft trajectory prediction with confidence intervals, improving air traffic managementefficiency and safety around airports (SESAR Project MIAR).• Led a sensitivity analysis of wake encounter severity project across several teams toidentify critical flight configurations, contributing to safer airspace organization and optimized airport operations (Federal Office of Civil Aviation)• Peer reviewer for high-impact journals, including Aerospace Science and Technology, Transportation Research Part. C, and the Journal of Aerospace Information Systems, evaluating cutting-edge research in machine learning applications for aerospace. Show less International collaboration between ONERA (The French Aerospace Lab) in Toulouseand the Zurich University of Applied Sciences in Winterthur.• Created a novel disentangled VAE architecture that integrates deep generative modeling with uncertainty quantification, facilitating scenario-free mid-air risk estimation contributing to enhanced safety in airport airspace management (published in Engineering Applications of Artificial Intelligence).• Developed a temporal-convolutional VAE architecture for generating complex multivariate time-series applied to aircraft trajectories, enabling better insights into real airspace organization, flight deviations, and improved collision risk analysis around airports (published in Machine Learning with Applications).• Co-developed a novel VAE framework for high-dimensional adaptive importance sampling, improving the efficiency and accuracy of rare event probability estimation in complex systems (published in Transactions on Machine Learning Research)Teaching Experience: • Mentoring Bachelor's thesis• Mentoring for Masters' thesisProject Management Skills: • Expertise in managing large-scale projects including time and resource management.• Developed connections with fellow researchers across the globe for knowledge sharing.• Skilled in task delegation for optimizing project timelines. Show less

  • AI/ML Research Associate

    May 2024 - now

  • Doctoral Student

    Feb 2021 - May 2024