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Software engineer (PhD) with R&D experience in industry & academia
Lucas Koelman
,
Oxford, United Kingdom
Experience
Other titles
Skills
I'm offering
Biomedical engineer with R&D experience in both industry and academia. Proficient in object-oriented programming, signal & image analysis, numerical methods, computational biology. Previous experience as software engineer working on 3D data manipulation in C#, Python, and MATLAB. Basic knowledge of machine learning algorithms and frameworks. Passionate about engineering complex systems and applying computational methods to tackle the next generation of cross-disciplinary challenges. Freelancing while awaiting PhD defense.
Markets
United States
(Remote
only)
United Kingdom
France
Germany
Denmark
Norway
Sweden
Finland
Links for more
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Language
German
Good
English
Fluently
French
Good
Dutch
Fluently
Chinese (Mandarin)
Good
Ready for
Larger project
Ongoing relation / part-time
Available
My experience
2015 - 2020
project
PhD Researcher
Project: multiscale modelling of the neuromuscular system for deep brain stimulation.
● Single-cell and network models of biophysically detailed neurons in conductance-based cable modelling framework.
● Modelling effects of electrical stimulation and sub-cellular physiological changes on neuronal network activity.
● Use of spike-timing dependent plasticity rules and reinforcement learning to mimic dopamine-dependent circuit remodelling.
University College Dublin
● Single-cell and network models of biophysically detailed neurons in conductance-based cable modelling framework.
● Modelling effects of electrical stimulation and sub-cellular physiological changes on neuronal network activity.
● Use of spike-timing dependent plasticity rules and reinforcement learning to mimic dopamine-dependent circuit remodelling.
Programming, Data Analysis, Python, Distributed Systems, Data Science, 3D modeling, Linux, Software development
2014 - 2015
job
Software engineer
engineering and R&D.
Development of software for parametric design of patient-specific hip implants.
● Design and implementation of medically validated software for
parametric design of patient-specific hip implants. Computational
geometry algorithms, integration with CAD software.
● Working with doctoral and post-doctoral researchers to integrate new algorithmic developments in implant design process. Porting research to production-quality code.
● Optimize patient-specific design process for iterative design and efficient integration of surgeon feedback.
● Writing operating procedures for compliance with EU EMA and US FDA norms for design/manufacture of medical devices.
● Design and implementation of medically validated software for
parametric design of patient-specific hip implants. Computational
geometry algorithms, integration with CAD software.
● Working with doctoral and post-doctoral researchers to integrate new algorithmic developments in implant design process. Porting research to production-quality code.
● Optimize patient-specific design process for iterative design and efficient integration of surgeon feedback.
● Writing operating procedures for compliance with EU EMA and US FDA norms for design/manufacture of medical devices.
Design, Writing, Research, CAD, Integration, Algorithms, Compliance, Medical Devices, Implementation, Design process, Development, Software, Production
2012 - 2013
project
M.Sc. Researcher
Research collaboration at Tsinghua University (Beijing) for master thesis "Exploration of novel neuroimaging contrast based on functional MRI and diffusion tractography data". Development and implementation of algorithms for multimodal data fusion (functional MRI and diffusion tractography data) in C++
KU Leuven
3d image processing, Programming, C/c++, Matlab, Algorithms, Digital signal processing
My education
2015
-
2020
University College Dublin
Doctorate, Biomedical/Neural Engineering
Doctorate, Biomedical/Neural Engineering
2011
-
2014
KU Leuven
M.Sc., Biomedical Engineering
M.Sc., Biomedical Engineering
2008
-
2011
KU Leuven
B.Sc., Electrical Engineering & Computer Science
B.Sc., Electrical Engineering & Computer Science
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