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Michelle Michelle is an Assistant Professor in Computational Mathematics at the University of Alberta. She completed her Ph.D. in Applied Mathematics in 2022 under the supervision of Bin Han and Yau Shu Wong. Her research interests span various topics including numerical methods for time-harmonic wave propagation, elliptic interface problems, wavelet methods, numerical partial differential equations, data science, numerical linear algebra, and scientific machine learning. She has mentored students and has contributed to the development of high-order numerical schemes and neural network approximations. Michelle has published numerous research articles in esteemed journals and presented her work at various conferences worldwide. Her commitment to teaching is demonstrated through her courses in Differential Equations and Calculus. Michelle continues to explore innovative solutions in applied mathematics and contributes to the academic community through her research and teaching.
University of Alberta • Edmonton, AB, Canada
Teaching and conducting research in Computational Mathematics.
Purdue University •
Mentored students and engaged in collaborative research.
Department: Mechanical Engineering and Engineering Management