Meng-Chi Ed Chen

Professional Highlights

• Chemistry | B.S. (NTHU), M.S. (NTU), Teaching Experience
• Semiconductor | DRAM Process Integration Engineer (Micron Technology)
• Machine Learning | Internship & Courses (MIT)
• Electrical Engineering | Teaching Experience & Courses (MIT)
• Builder

Multidisciplinary Research Trajectory

I am a fourth-year PhD student in Electrical Engineering and Computer Science at MIT, where I apply machine learning to accelerate the development of next-generation semiconductor materials, particularly 2D materials. My research focuses on building end-to-end ML-enabled systems that integrate data collection, automation, and scientific modeling.

My academic training began in chemistry, where I earned both my BS and MS degrees. During this time, I developed a broad foundation across physical chemistry, materials science, and spectroscopy, while also exploring adjacent areas such as green energy systems, biotechnology, drug development, and nuclear engineering.

Before my PhD, I worked as a Process Integration Engineer at Micron Technology, supporting high-volume DRAM manufacturing. In addition to solving yield and process margin issues on the production line, I built data-driven metrology monitoring tools that improved engineering efficiency and decision-making at scale. This experience shaped my interest in combining data, automation, and domain knowledge to solve real-world engineering problems.

At MIT, my work bridges machine learning, materials science, and electrical engineering. Beyond my core research, I continue to explore topics including quantum and statistical physics, power electronics, and integrated circuit devices—reflecting a broader goal of developing adaptable ML systems that transfer across scientific domains.

Education

Work