CV

Education

• Ph.D. in Computer Architecture, University of California, San Diego (UCSD), 2024-2029 (expected)
  • Advisor: Professor Tajana S. Rosing
  • Focus: Hardware acceleration, Processing-in-Memory, Bioinformatics acceleration
  • Honors: J. Yang Scholarship, Department Fellowship, Taiwan Government Scholarship to Study Abroad
• M.S. in Power Mechanical Engineering, National Tsing Hua University, Taiwan, 2019-2021
  • GPA: 3.9/4.0
  • Research Focus: Microfluidics, Bio-MEMS, and biomedical device design
  • Achievements:
    • Published two articles in peer-reviewed scientific journals
    • Presented research at IEEE NEMS 2020 conference
    • Research Assistant at Microfluidics and Bio-MEMS Lab
    • Collaborated with leading scholars from Academia Sinica and National Cheng Kung University Hospital
• B.S. in Health-Related Field, Taipei Medical University, Taiwan, 2015-2019
  • Research Focus: Medical device design, healthcare informatics, and biostatistics

Work Experience

• Ph.D. Student, University of California, San Diego
  • Department of Electrical and Computer Engineering
  • June 2024 - Present (1 year 9 months)
  • Advisor: Professor Tajana S. Rosing
  • Research: Computer architecture and hardware acceleration for bioinformatics, Processing-in-Memory systems, emerging memory technologies (3D DRAM, FeRAM, FeNAND)
• N2 R&D Process Engineer, Taiwan Semiconductor Manufacturing Company (TSMC), Taiwan
  • January 2024 - June 2024 (6 months)
  • Process Development: N2 node front-end-of-line (FEOL) and middle-of-line (MEOL) optimization
• N3 & N2 Process Engineer, Taiwan Semiconductor Manufacturing Company (TSMC), Taiwan
  • November 2021 - March 2024 (2 years 5 months)
  • Hsinchu City, Taiwan
  • Key Achievements:
    1. RD process engineer for N3/N2 operation
    2. Spearheaded N3/N3B tech middle-of-line (MEOL) CMP team, achieving 10% yield enhancement
    3. Reduced department costs by $3 million/month
    4. Minimized CMP defects by 90%
    5. Orchestrated CMP self-quality control measures
    6. Designed and conducted experiments to validate CMP consumables changes
    7. Developed experiments to extend the lifespan of CMP consumables

Technical Skills

• Programming & Scripting
  • Python
• Hardware & Development Tools
  • Vitis (Xilinx High-Level Synthesis)
  • Intel VTune and AMX/IAA (Advanced Matrix Extensions / In-Memory Analytics Accelerator)
  • TCAD simulation tools
  • Git & Version Control
  • Conda (Python package/environment management)
  • VS Code
  • MATLAB & Arduino Programming
  • Microfluidic device design and simulation
• Documentation & Writing
  • LaTeX
  • Markdown
• Hardware & Architecture
  • FPGA Design and Optimization
  • Hardware-Software Co-design
  • TCAD (Technology Computer-Aided Design)
  • Bioinformatics workload analysis and optimization

Research Interests

• Computer Architecture & Hardware Acceleration
• Processing-in-Memory (PIM) Systems
• Emerging Memory Technologies (3D DRAM, FeRAM, FeNAND)
• Bioinformatics Data Analysis Acceleration
• Multi-omics (Genomics, Proteomics, Metabolomics) Acceleration
• Machine Learning Systems and Hardware Efficiency
• Hardware Accelerator Design

Publications

An Integrated Microfluidic System for Cholangiocarcinoma Diagnosis from Bile by Using Specific Affinity Probes

Tsung-Han Lu et al. (2022). "An Integrated Microfluidic System for Cholangiocarcinoma Diagnosis from Bile by Using Specific Affinity Probes." Sensors and Actuators B: Chemical.

Exfoliated Tumor Cells in Bile as a Promising Indicator of Disease Status in Cholangiocarcinoma

Tsung-Han Lu. et al. (2021). "Exfoliated Tumor Cells in Bile as a Promising Indicator of Disease Status in Cholangiocarcinoma." Sensors and Actuators B: Chemical.

An Integrated Microfluidic Platform for Cholangiocarcinoma Diagnosis from Clinical Bile by Utilizing Multiple Affinity Reagents

Tsung-Han Lu. (2021). "An Integrated Microfluidic Platform for Cholangiocarcinoma Diagnosis from Clinical Bile by Utilizing Multiple Affinity Reagents." Master's thesis, National Tsing Hua University.

An Integrated Microfluidic Platform for Cholangiocarcinoma Diagnosis from Clinical Bile Juice Samples by Utilizing Multiple Affinity Reagents

Tsung-Han Lu et al. (2020). "An Integrated Microfluidic Platform for Cholangiocarcinoma Diagnosis from Clinical Bile Juice Samples by Utilizing Multiple Affinity Reagents." In Proceedings of the 2020 IEEE 15th International Conference on Nano/Micro Engineered and Molecular System (NEMS).