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About me

Tadanaga (忠永)

Hello. I’m a first-generation Japanese American born and raised in the States. Most people call me Tada. My background education is in Applied Mathematics. I like studying how algorithms work and how they are implemented. My research interests include a mix of

  • scientific computing
  • high performance computing
  • mathematical physics
  • numerical analysis
  • scientific machine learning

I am particularly interested in high performance computing. My dissertation was on domain decomposition methods, which are parallel algorithms to numerically solve partial differential equations. I worked on the Helmholtz equation and the Monge-Ampere equation.


I think what sets me apart from most applied mathematicians is my emphasis on neat, efficient coding in compiled languages. When it comes to developing a new algorithm or just doing some data processing, languages such as MATLAB, Python, or Julia are the best tools. However, I like to implement my numerical methods in languages like C or Fortran because there is less computational overhead and better memory management.


All of my work experience is contained in academia. During the first few years in the Ph.D. program, I had responsibilities as a graduate teaching assistant. This responsibility ranged from covering recitation classes, tutoring for MATLAB, and assigning numerical mathematics homework.

After becoming a Ph.D. candidate, I worked as a research assistant. My time was devoted to research under the guidance of my co-advisors Dr. Yassine Boudendir and Dr. Brittany Hamfeldt.

(2017-2019) Graduate Teaching assistant

I coordinated with professors to deliver a more complete learning experience for undergraduate students taking their math courses.

(2021-2023) Graduate Research Assistant

A research assistant is a competent individual capable of independent and critical thinking. This involves taking the initiative to learn new ideas, rigorous calculations, and implementing code.

(2023) Adjunct Professor

I am teaching a couple of math courses at NJIT for the fall semester of 2023.