Matthew French
Masters Student at Auckland Bioengineering Institute- Claim this Profile
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Bio
Thomas Li
Matthew worked on image machine learning for X-Ray images for phase contrast. He was successful in setting up the neural network pixel-wise regression model frameworks, and used both simulated and real data. He made good progress in the 2-3 months as a summer student under my co-supervision, and he also documented his work well that could be taken up by the next researcher. Overall, I would recommend Matthew for image machine learning projects and work.
Thomas Li
Matthew worked on image machine learning for X-Ray images for phase contrast. He was successful in setting up the neural network pixel-wise regression model frameworks, and used both simulated and real data. He made good progress in the 2-3 months as a summer student under my co-supervision, and he also documented his work well that could be taken up by the next researcher. Overall, I would recommend Matthew for image machine learning projects and work.
Thomas Li
Matthew worked on image machine learning for X-Ray images for phase contrast. He was successful in setting up the neural network pixel-wise regression model frameworks, and used both simulated and real data. He made good progress in the 2-3 months as a summer student under my co-supervision, and he also documented his work well that could be taken up by the next researcher. Overall, I would recommend Matthew for image machine learning projects and work.
Thomas Li
Matthew worked on image machine learning for X-Ray images for phase contrast. He was successful in setting up the neural network pixel-wise regression model frameworks, and used both simulated and real data. He made good progress in the 2-3 months as a summer student under my co-supervision, and he also documented his work well that could be taken up by the next researcher. Overall, I would recommend Matthew for image machine learning projects and work.
Credentials
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ICAgile Certified Professional - People Development
ICAgileJul, 2022- Nov, 2024 -
Deep Learning Specialization
DeepLearning.AINov, 2019- Nov, 2024
Experience
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Auckland Bioengineering Institute
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New Zealand
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Research Services
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1 - 100 Employee
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Masters Student
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Feb 2022 - Present
Thesis: Deep Learning Registration of Breast Magnetic Resonance Images. Supervisors: Dr. Gonzalo D. Maso Talou (main), Dr. Thiranja Prasad Babarenda Gamage, Prof Martyn Nash, Prof Poul Nielsen Thesis: Deep Learning Registration of Breast Magnetic Resonance Images. Supervisors: Dr. Gonzalo D. Maso Talou (main), Dr. Thiranja Prasad Babarenda Gamage, Prof Martyn Nash, Prof Poul Nielsen
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Soul Machines
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United States
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Software Development
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1 - 100 Employee
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R&D Engineer I
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Feb 2022 - Sep 2022
Researching and developing state-of-the-art deep learning techniques for persona generation.Work was done primarily in Python using DL libraries such PyTorch and TensorFlow. Experience with conversational engineering using Hugging Face Transformers, Google DialogFlow and OpenAI API. Engineer and one of the original creators of a Hackathon project which was release.
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R&D Intern
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Nov 2021 - Feb 2022
Upgraded the language and speech tooling UI used in the production of digital people to include state of the art deep learning utilities, graphics and audio features. This work was achieved under the supervision of Ting Liang and the Autonomous Animation Initiative.
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Science and Mathematics Tutor
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Jul 2021 - Feb 2022
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University of Canterbury
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New Zealand
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Higher Education
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700 & Above Employee
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Residential Assistant
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Feb 2021 - Jun 2021
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Teaching Assistant of Physics
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Feb 2019 - Jun 2021
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Physics Summer Researcher
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Nov 2019 - Feb 2020
Supervised by Thomas (Heyang) Li and Konstantin Pavlov for a UC Physics Summer Research Project. During this time we established a deep learning approach for propagation based phase retrieval of synchrotron x-ray phase-contrast images.
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HeartLab
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New Zealand
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Medical Equipment Manufacturing
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1 - 100 Employee
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AI Engineer Intern
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Nov 2020 - Feb 2021
HeartLab is a rapidly growing New Zealand-based startup focused on transforming cardiology with the implementation of AI into the echocardiography workflow and analysis. As an AI Engineer at HeartLab I worked on the state of the art AI modules that analyse echocardiograms being processed through the HeartLab workflow. HeartLab is a rapidly growing New Zealand-based startup focused on transforming cardiology with the implementation of AI into the echocardiography workflow and analysis. As an AI Engineer at HeartLab I worked on the state of the art AI modules that analyse echocardiograms being processed through the HeartLab workflow.
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The University of Auckland
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New Zealand
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Higher Education
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700 & Above Employee
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Mathematics Summer Researcher
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Nov 2020 - Feb 2021
Clifford and Geometric Algebras Clifford and Geometric Algebras
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UCM - University of Canterbury Motorsport
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New Zealand
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Industrial Machinery Manufacturing
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1 - 100 Employee
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Vehicle Dynamics Engineer
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Feb 2020 - Nov 2020
University of Canterbury Motorsport is a student run organisation that competes in the largest university competition in the world, Formula SAE. University of Canterbury Motorsport is a student run organisation that competes in the largest university competition in the world, Formula SAE.
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AHeadstart
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1 - 100 Employee
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Tutor
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Feb 2018 - Feb 2019
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Education
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2018 - 2021
University of Canterbury
Bachelor of Science, Mathematics and Physics (Double Major) -
2013 - 2017
Nelson College
NCEA level 1, 2 & 3 -
2022 - 2023
The University of Auckland
Master of Engineering - ME, Bioengineering -
2022 - 2022
The University of Auckland
Postgraduate Certificate, Engineering -
2017 - 2017
University of Canterbury
STAR Mathematics
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