John Martinsson
Doctoral Student at Lund University
Sweden
Summary
👤
Senior🎓
Top SchoolJohn Martinsson is a doctoral student and research scientist with 11 years of experience applying machine learning and deep learning to audio and visual sensing problems. Based in Sweden, he combines doctoral-level research in spectral and time-frequency analysis with practical deployments of sensor-driven soundscape monitoring to quantify biodiversity and ecosystem change. His work spans academic collaborations (including a visiting stint at Tampere University on active learning for bioacoustics) and applied research at RISE, bridging novel algorithms and real-world annotation workflows. He has a strong foundation in algorithms and probabilistic modeling from Chalmers University of Technology and prior software engineering roles that shaped robust tooling for data collection and visualization. Open to funding collaborations, he’s particularly interested in scaling continuous acoustic and visual sensor networks to make human impacts on nature measurable. A less obvious strength is his blend of deep technical expertise and hands-on experience building annotation-efficient ML pipelines that reduce labeling costs while improving ecological insight.
11 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science, Algorithms, Languages and Logic, Master's degree, Computer Science, Algorithms, Languages and Logic at Chalmers University of Technology
Stackoverflow
13reputation
8kreached
1answer
2questions
Github Skills (20)
prediction-model10
convolutional-neural-networks10
recurrent10
recurrent-neural-networks10
classifier10
morse-code10
lstm10
prediction10
diabetes9
machine-learning9
audio-classification9
deep-learning9
neural-network8
analyzer7
audio7
Programming languages (3)
Github contributions (5)
johnmartinsson/bird-species-classification
Nov 2016 - Jun 2019
Using convolutional neural networks to build and train a bird species classifier on bird song data with corresponding species labels.
Contributions:336 commits, 1 PR, 185 pushes in 2 years 7 months
songclassifierbird-clefconvolutional-neural-networkmulti-label-classification
johnmartinsson/blood-glucose-prediction
Jun 2018 - Mar 2021
Blood glucose prediction using long short-term memory recurrent neural networks.
Contributions:84 commits, 37 pushes, 1 comment in 2 years 9 months
memorytermpredictionrecurrent-neural-networksblood
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.