deep learning for bioacoustics &
AI for social good
mark [dot] thomas @ dal [dot] ca
I am a PhD candidate in computer science @ Dalhousie University under the supervision of Stan Matwin. My main interests are in applying deep learning to the area of bioacoustics. Specifically, I work on algorithms for detecting endangered baleen whale vocalizations in acoustic recordings.
Starting in June, I will be joining X (formally Google X) for a four month PhD Residency in AI.
My co-authors and I have recently submitted two journal articles currently under review:
M. Thomas, B. Martin, and S. Matwin, (2021) Improving the performance of a passive acoustic monitoring classification system through semi-supervised deep learning. Special Issue on Machine Learning, Journal of the Acoustical Society of America (JASA)
A. Theissler, M. Thomas, M. Burch, F. Gerschner (2021) ConfusionVis: Comparative evaluation and selection of multi-class classifiers based on confusion matrices Knowledge-Based Systems
I recently presented my work using semi-supervised learning to leverage unlabeled PAM data at the ICLR 2021 workshop titled: "From Shallow to Deep: Overcoming Limited and Adverse Data".
M. Thomas, B. Martin, and S. Matwin. (2021) Leveraging unlabelled data through semi-supervised learning to improve the performance of a marine mammal classification system From Shallow to Deep: Overcoming Limited and Adverse Data Workshop at International Confernence on Learning Representations (ICLR).
M. Thomas, B. Martin, K. Kowarski, B. Gaudet, and S. Matwin. (2019) Detecting endangered baleen whales within acoustic recordings using region-based convolutional neural networks. Joint Workshop on AI for Social Good at Neural Information Processing Systems (NeurIPS).
PhD: Computer Science, Dalhousie University (exp. 2022)
MSc: Mathematics & Statistics, Acadia University
BSc: Mathematics & Statistics and Economics, Acadia University
Intern Machine Learning Scientist @ JASCO Applied Sciences (Jan 2018 - Present)
Data Scientist @ Fix.com (May 2015 - Aug 2017)