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Hire Weichien L.

Taiwan

USD 80 /hr

Applied Mathematics & Scientific Computing Expert | Python/C++ | Numerical Methods, HPC & Machine Learning

Profile Summary

I am an applied mathematician and computational scientist specializing in Python and C/C++ coding for scientific computing, numerical analysis, and machine learning. My background includes an M.S. in Applied Mathematics from National Taiwan University, where I developed high‑performance algorithms for eigenvalue problems, and a research internship at Georgia Tech, collaborating on parallel incomplete factorization methods with an international team. These experiences gave me both a strong mathematical foundation and hands‑on coding expertise, enabling me to design efficient algorithms and implement scalable solutions. In 2019, I was honored as the sole recipient of Taiwan’s Ministry of Education Government Scholarship to Study Abroad, awarded to pursue doctoral research in Artificial Intelligence with a specialization in Big Data Analytics. Currently, I am advancing this work as a PhD student in Computer Science and Engineering at Michigan State University, building a novel framework for low‑latency processing in high‑throughput imaging workflows using heterogeneous computing architectures. My research spans FPGA‑based pipelines, CPU/GPU integration, and energy‑efficient neural networks for real‑time inference in embedded scientific systems. Beyond research, I have served as a teaching assistant in computational mathematics, high‑performance computing, and Python programming, mentoring students and preparing materials in Python, MATLAB, C/C++, and CUDA. I excel at explaining complex concepts clearly and tailoring solutions to diverse requirements, delivering results that are precise, optimized, and adaptable to both academic and industry needs.

Subject Matter Expertise

• ★ Applied Mathematics
• ★ Computational Mathematics
• ☆ Computer Science
• ☆ Parallel Computing
• ☆ Data Analysis
• ☆ Algorithm Design
• ☆ Machine Learning
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Mathematical Models
• ☆ Differential Equations
• ☆ Python
• ☆ Matlab
• ☆ LaTex

Services

• Research
• Data & AI

Research Scientific and Technical Research

Data & AI Algorithm Design-Non ML, Algorithm Design-ML

Work Experience

Student Research Assistant

Michigan State University

August 2020 - Present

Student Intern

Georgia Institute of Technology

May 2019 - July 2019

Teaching Assistant

National Taiwan University

2016 - 2019

Research Assistant

National Taiwan University

2016 - 2019

Education

MS (Institute of Mathematical Sciences)

National Taiwan University

- 2019

BS (Department of Mathematics)

National Taiwan University

- 2016

Certifications

• Taiwan Ministry of Education Government Scholarship for Study Abroad (sole recipient)

  Taiwan Ministry of Education

  January 2019 - Present

Publications

PREPRINT

Weichien Liao(2025). Scalable FPGA Framework for Real-Time Denoising in High-Throughput Imaging: A DRAM-Optimized Pipeline using High-Level Synthesis . arXiv

JOURNAL ARTICLE

Tsung-Ming Huang and Weichien Liao and Wen-Wei Lin and Weichung Wang(2021). An efficient contour integral based eigensolver for 3D dispersive photonic crystal . Journal of Computational and Applied Mathematics. 395. p. 113581. Elsevier {BV}

Huang, T.-M., Liao, W., Lin, W.-W., Wang, W.(2021). An efficient contour integral based eigensolver for 3D dispersive photonic crystal . Journal of Computational and Applied Mathematics. 395.

DISSERTATION THESIS

廖為謙(2019). 高效能周道積分法模擬表面電漿特徵值問題 . 臺灣大學應用數學科學研究所學位論文.