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Basics

Name Quentin Goestchel
Label Postdoctoral Researcher in Acoustics
Summary Postdoctoral researcher specializing in acoustic propagation, bioacoustics, and distributed acoustic sensing for marine mammal detection. Expert in numerical modeling methods and time domain approaches for environmental acoustics applications.

Work

  • 2024.01 - Present

    Seattle, USA

    Postdoctoral Researcher
    University of Washington
    Postdoctoral scholarship at the School of Oceanography studying the capabilities of distributed acoustic sensing (DAS) to record low frequency baleen whale vocalizations.
    • Develop automated tools to detect and localize fin and blue whale calls with DAS
    • Contributing to the DAS4Whales open-source package
  • 2022.01 - 2023.01

    Strasbourg, France

    Computer Science Teacher
    Strasbourg University
    Teaching computer science fundamentals and development techniques to university students.
    • Development techniques - Teaching to second year students
    • Basics of computer architecture - Teaching to first year students
    • Academic methodologies and techniques - Teaching to first year students
  • 2020.01 - 2020.12

    Strasbourg, France

    Trainee Researcher
    Joint Research Unit in Environmental Acoustics (UMRAE)
    Numerical modeling of acoustic propagation over a forest floor using the TLM approach.
  • 2017.01 - 2017.12

    Geneva, Switzerland

    Trainee Engineer
    CERN, the European Organization for Nuclear Research
    Modeling the noise impact of the LHC expansion (HL-LHC) with engineering software.
  • 2017.01 - 2018.12

    Eindhoven, Netherlands

    Trainee Researcher
    Technical University of Eindhoven (TU/e)
    Research on applicability of the diffusion equation method for acoustic simulations on 3D urban models.
    • Development of a finite volume method Matlab code to model sound energy density diffusion in irregular tetrahedral meshes

Education

  • 2020.01 - 2023.01

    Le Mans, France

    Ph.D.
    Le Mans University
    Acoustic propagation in forest environments. Time domain numerical methods toward bioacoustic applications.
    • Theoretical study on the Transmission Line Matrix Method for modeling long-range forest scenarios
    • Updating, improving and maintaining a code architecture in Python and OpenCL (C99)
    • Collaboration with bioacousticians (MNHN) for in-situ data
    • Supervision of an intern from the computer science University Institute of Technology (IUT), Strasbourg (6 months internship)
  • 2019.01 - 2020.01

    Paris, France

    Master's degree
    Sorbonne Université
    Physical Acoustics
    • Study of elastic waves
    • Modeling and synthesizing acoustic fields
    • Sound manipulation as diagnostic tool and information vector
  • 2016.01 - 2020.01

    Cachan, France

    Master's degree
    Ecole Normale supérieure Paris-Saclay
    Engineering Sciences
    • Civil engineering master's degree
    • Continuum mechanics, fluid mechanics, waves, vibrations
    • Numerical methods
    • Multidisciplinary formation in applied sciences
  • 2013.01 - 2015.01

    Nantes, France

    Preparatory classes
    Eugène Livet HighSchool
    Engineering Preparatory Classes
    • Fundamentals of physics and technology
    • Preparation for Grandes Ecoles competitive entrance exams

Awards

Skills

Programming Languages
Python
C99 (OpenCL)
Matlab
Zsh
Bash
Document Rendering
LaTeX
Markdown
Software Tools
FreeCAD
Solidworks
Slurm Workload Manager
Git
Inkscape
Acoustics
Sound & biodiversity
Disturbance noise effect on quiet areas
Time domain methods
Meshing processes
Distributed acoustic sensing (DAS)

Languages

French
Native speaker
English
Advanced (Cambridge C1)
Spanish
Conversational

Interests

Outdoor Activities
Mountaineering
Climbing
Hiking
Backcountry skiing
Alpine skiing
Sailing
Music
Bass guitar
Research Interests
Sound & biodiversity
Disturbance noise effect on quiet areas
Time domain methods
Meshing processes