malcolmw@mit.edu
Malcolm C. A. White
- Postdoctoral Associate
- PhD, Geophysics and Seismology, U. of Southern California, 2021
- BSc, Computational Geophysics, Carleton U., 2013
Biographical Overview
Malcolm White is a Postdoctoral Associate studying seismology with Dr. Nori Nakata in the Department of Earth, Atmospheric and Planetary Sciences at the Massachusetts Institute of Technology in Cambridge, MA. Malcolm has also served as an Adjunct Professor of Statistics at Sattler College in Boston, MA. Malcolm's active research focuses on developing and applying computational techniques to observe seismogenic processes ranging from hydraulic-fracturing induced microseismicity to seismotectonic processes in major fault zones. Malcolm lives in Medford, MA with his wife Sara and daughter Anastasia.
Malcolm earned a BSc in Computational Geophysics from Carleton University (Ottawa, Canada) in 2013, following which he started working as a Seismic Analyst at the Scripps Institution of Oceanography (University of California, San Diego). In 2016 he moved to the University of Southern California to start his PhD in Geological Sciences with Prof. Yehuda Ben-Zion. Malcolm received his PhD in August 2021, and subsequently began research at MIT as a Postdoctoral Associate and teaching at Sattler College as an Adjunct Professor.
“FastMapSVM: Classifying Complex Objects Using the FastMap Algorithm and Support-Vector Machines”, In Press.
, “A “sliding box” automatic relocation method based on Geometric-mean reverse-time migration”, SEG Annual Meeting 2022. In Press.
, “Characterizing Microearthquakes Induced by Hydraulic Fracturing With Hybrid Borehole DAS and Three-Component Geophone Data”, IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, 2023.
, “Characterizing Microearthquakes Induced by Hydraulic Fracturing With Hybrid Borehole DAS and Three-Component Geophone Data”, IEEE Transactions on Geoscience and Remote Sensing, vol. 61, pp. 1-15, 2023.
, “HDF5eis: A storage and input/output solution for big multidimensional time series data from environmental sensors”, Geophysics, pp. F29-F38, 2023.
, “HDF5eis: A storage and I/O solution for big, multidimensional time series data from environmental sensors”, GEOPHYSICS, pp. 1 - 42, 2023.
, , “A Detailed Earthquake Catalog for Banda Arc–Australian Plate Collision Zone Using Machine‐Learning Phase Picker and an Automated Workflow”, The Seismic Record, vol. 2, pp. 1-10, 2022.
, “Enigmatic doubly scattered tube waves at a crosswell seismic survey”, Geophysical Journal International, vol. 233, pp. 627-640, 2022.
, “FastMapSVM: Classifying Complex Objects Using the FastMap Algorithm and Support-Vector Machines”. 2022.
, “FastMapSVM: Classifying Complex Objects Using the FastMap Algorithm and Support-Vector Machines”. 2022.
, “FastMapSVM: Classifying Complex Objects Using the FastMap Algorithm and Support-Vector Machines”. 2022.
, “Seismic Traveltime Tomography of Southern California Using Poisson-Voronoi Cells and 20 Years of Data”, Journal of Geophysical Research: Solid Earth, vol. 127, p. e2021JB023307, 2022.
, “A “sliding box” automatic relocation method based on geometric-mean reverse-time migration”, SEG International Exposition and Annual Meeting, vol. Day 1 Sun, August 28, 2022. 2022.
, “A detailed earthquake catalogue for Timor and Eastern Indonesia using machine-learning phase picker and an automated workflow”, in AGU Fall Meeting Abstracts, 2021.
, “Detailed traveltime tomography and seismic catalogue around the 2019 Mw7.1 Ridgecrest, California, earthquake using dense rapid-response seismic data”, Geophysical Journal International, vol. 227, pp. 204-227, 2021.
, “FastMapSVM: Classifying seismograms using FastMap and Support-Vector Machines”, AGU Fall Meeting 2021. AGU, 2021.
, “PyKonal: A Python Package for Solving the Eikonal Equation in Spherical and Cartesian Coordinates Using the Fast Marching Method”, Seismological Research Letters, vol. 91, no. 4, pp. 2378 - 2389, 2020.
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