Tianshu Wen

Tianshu Wen

Design Engineer

Applied Materials, Inc.

Biography

Tianshu Wen is a design engineer at Applied Materials, Inc. Previously, he interned at Lorentz Solution, Inc (2024) and Lawrence Livermore National Laboratory (2023). He received his Ph.D. in Aerospace and Mechanical Engineering from the University of Notre Dame in 2024, where he was advised by Matthew J. Zahr. He also holds an M.S. in Applied Mathematics from the University of Notre Dame (2023), an M.S. in Mechanical Engineering from Washington University in St. Louis (2019), and a B.S. in Mechanical Engineering from Central Michigan University (2016). He specializes in numerical optimization, model order reduction, deep learning, computational fluid dynamics, and finite element methods.

Interests
  • Numerical Optimization
  • Model Order Reduction
  • Deep Learning
  • Computational Fluid Dynamics
  • Finite Element Methods
Education
  • Ph.D. in Aero & Mech Engineering, 2024

    University of Notre Dame

  • M.S. in Applied and Computational Mathematics, 2023

    University of Notre Dame

  • M.S. in Mechanical Engineering, 2019

    Washington University in St. Louis

  • B.S in Mechanical Engineering, 2016

    Central Michigan University

Recent Publications

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(2013). An example conference paper. In ICW.

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Accomplish­ments

USNCCM16 Conference Award
See certificate
Coursera
Neural Networks and Deep Learning
See certificate
Formulated informed blockchain models, hypotheses, and use cases.
See certificate

Skills

R

90%

Statistics

100%

Photography

10%

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