Research Area: Seismic Inversion
Thesis: Undecided
About me: I graduated from Physics at Dalhousie University (2009) and have recently started at UBC. Before joining SLIM I spent 5 years in industry where I worked extensively on underwater acoustic problems, doing research and developing software for both defence and bio-acoustic sonar applications. I contribute to open-source geophysics software projects and am a developer for the web-based modelling tool Modelr (http://modelr.io/about). In my spare-time I enjoy travelling and playing music.
Thesis: Undecided
About me: I graduated from Physics at Dalhousie University (2009) and have recently started at UBC. Before joining SLIM I spent 5 years in industry where I worked extensively on underwater acoustic problems, doing research and developing software for both defence and bio-acoustic sonar applications. I contribute to open-source geophysics software projects and am a developer for the web-based modelling tool Modelr (http://modelr.io/about). In my spare-time I enjoy travelling and playing music.
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, “AVA classification as an unsupervised machine-learning problem”, in SEG Technical Program Expanded Abstracts, 2016, pp. 553-556.
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, “Machine learning applications to geophysical data analysis”, The University of British Columbia, Vancouver, 2016.
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, “Using the scattering transform to predict stratigraphic units from well logs”, CSEG Recorder, vol. 41, pp. 22-25, 2016.
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, “Amplitude vs. angle analysis as an unsupervised learning problem”, SINBAD Fall consortium talks. SINBAD, 2016.
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, “Prediction of stratigraphic units from spectral co-occurance coefficients of well logs”, in CSEG Annual Conference Proceedings, 2015.