Mark Thomas

deep learning for bioacoustics &
AI for social good

mark [dot] thomas @ dal [dot] ca

I am a third-year 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.

I hold a MSc and BSc from Acadia University. During my MSc, I was supervised by Pritam Ranjan and Holger Teismann and worked on Bayesian optimization for ecology models.

I am also the co-founder of Dartmouth Runners , a free social running club in the heart of the Darkside. Check us out and join us for a run!

Recent Publications:

  • Thomas, M., Martin, B., Kowarski, K., Gaudet, B., and Matwin., S. (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). [paper][poster]

  • Thomas, M., Martin, B., Kowarski, K., Gaudet, B., and Matwin., S. (2019) Marine Mammal Species Classification using Convolutional Neural Networks and a Novel Acoustic Representation. European Conference on Machine Learning (ECML). [paper]

  • Thomas, M. (2019) Towards a Novel Data Representation for Classifying Acoustic Signals. Canadian Conference on Artificial Intelligence (Canadian AI). [paper]


  • PhD: Computer Science, Dalhousie University (2017 - exp. 2021)

  • MSc: Mathematics & Statistics, Acadia University (2013 - 2015)

  • BSc: Mathematics & Statistics and Economics, Acadia University (2009 - 2013)

Work Experience:

  • Intern Machine Learning Scientist @ JASCO Applied Sciences (Jan 2018 - Present)

  • Data Scientist @ (May 2015 - Aug 2017)