I am a researcher and practitioner in the areas of Scientific Machine Learning, Computational Mechanics, and Mechanics of Solids and Porous Media. My research interests include computational modeling and uncertainty quantification of engineering systems, and the use of artificial intelligence tools, including deep learning, in engineering analysis. I am currently a research scientist at Carbon Inc., working on modeling and optimization of lattice structures using FEM and DL methods.
Postdoctoral Fellow, 2020-2021
University of British Columbia
Postdoctoral Associate, 2017-2020
Massachusetts Institute of Technology
PhD in Computational Mechanics, 2011-2015
McMaster University
Research and development:
Research and development:
Research activities include:
Research activities include:
Research activities include:
Research and development activities included:
Study and research activities included:
ML for engineering and science applications.
A Keras wrapper for scientific computations and physics-informed deep learning using artificial neural networks
A vectorized FEM MATLAB library using the implicit interface methods
A proposal for a recommendation system for learning taste profile (3rd place winner).