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General Information
| Full Name | Quentin Goestchel |
| Date of Birth | 9th December 1995 |
| Languages | French, English (Cambridge Advanced C1), Spanish |
Education
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2023
Ph.D. degree
Le Mans University, Le Mans, France.
- Acoustic propagation in forest environments. Time domain numerical methods toward bioacoustic applications.
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Short description
- 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).
- Supervised by Gwenaël Guillaume, David Ecotière, Benoit Gauvreau
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2020
Master's degree in physical acoustics
Sorbonne Université, Paris, France.
- For the study of elastic waves. To model and synthesize acoustic fields.To learn how to manipulate sound as a diagnostic tool and information vector. Graduated with Highest Honors.
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2020
Master's degree of Ecole Normale supérieure Paris-Saclay
Ecole Normale supérieure Paris-Saclay, Cachan, France.
- 4th year - Joint master's degree with Sorbonne Université.
- 3rd year - Pre-doctoral research year in a foreign country (TU/e, Eindhoven, cf. Experience).
- 2nd year - Civil engineering master's degree. Fundamentals of mechanical engineering, including continuum mechanics, fluid mechanics, waves, vibrations, with a strong emphasis on numerical methods.
- 1st year - Multidisciplinary formation in order to choose between the three engineering departments. Centered on the applied sciences in physics and engineering for research and teaching. (Equivalent to a third-year bachelor's degree)
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2015
Preparatory classes for engineering colleges
Eugène Livet HighSchool, Nantes, France.
- Two years of intensive courses on fundamentals of physics and technology to prepare Grandes Ecoles competitive entrance exams.
Experience
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2024 - ongoing
Postdoctoral Researcher
University of Washington, Seattle, USA
- Postdoctoral scolarship at the School of Oceanography.
- study 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.
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2022 - 2023
Computer science teacher
Strasbourg University, Strasbourg, France.
- Development technics. Teaching to second year students.
- Basics of computer architecture. Teaching to first year students.
- Academic methodologies and techniques. Teaching to first year students.
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2020
Trainee researcher
Joint Research Unit in Environmental Acoustics (UMRAE), Strasbourg, France.
- Numerical modeling of acoustic propagation over a forest floor using the TLM approach.
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2017-2018
Trainee researcher
Technical University of Eindhoven TU/e, Eindhoven, Netherlands.
- 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.
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2017
Trainee engineer
CERN, the European Organization for Nuclear Research, Geneva, Switzerland.
- Modeling the noise impact of the LHC expansion (HL-LHC) with an engineering software.
Awards and Grants
- Early Career Presenter Award in Computational Acoustics at the 186st ASA meeting, Ottawa, Canada.
- University of Washington eScience postdoctoral fellowship, Seattle, USA.
Special Skills
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Programming languages
- Python
- C99 (OpenCL)
- Matlab
- Zsh, Bash
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Documents rendering languages
- LaTex
- Markdown
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Softwares
- FreeCAD
- Solidworks
- Slurm Workload Manager
- Git
- Inkscape
Academic Interests
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Acoustics
- Sound & biodiversity
- Disturbance noise effect on quiet areas
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Numerical modelization methods
- Time domain methods
- Meshing processes
Other Interests
- Hobbies: mountaineering, climbing, hiking, backcountry skiing, alpine skiing, sailing, bass guitar.