About me

I am Bo-Yu Chen (陳柏諭), a first-year undergraduate student in Physics at National Taiwan University. I also go by the name Matt. I am conducting undergraduate research about machine learning with Jerry Yao-Chieh Hu, advised by Han Liu in MAGICS lab, Department of Computer Science, Northwestern University. Furthermore, supported by UCTS fellowship, I am conducting undergraduate research about experimental quantum information with Nikhil Harle, advised by Hannes Bernien in Bernien Lab, Pritzker School of Molecular Engineering, University of Chicago. Prior to my undergraduate career, I was fortunate to have Professor Chiashain Chuang, Dung-Sheng Tsai and Po-Han Lee as my research advisors in the field of condensed matter physics.

Recent News

• Apr, 2024 New preprint Nonparametric Hopfield on arxiv!
• Mar, 2024 Awarded the Fu Bell Scholarship Again!
• Feb, 2024 Awarded the UChicago-Taiwan Student Exchange (UCTS) Fellowship! Looking forward to visit University of Chicago and do amazing research at the Bernien lab with Hannes this summer!
• Jan, 2024 1 paper (STanHop) accepted at ICLR 2024!
• Jan, 2024 Our paper “On Sparse Modern Hopfield Model” was highlighted in Northwestern CS Department News!
• Jan, 2024 1 paper (Magnetoresistance in Transfer-Free Graphene) accepted at Nanotechnology Journal!
• Jan, 2024 New preprint STanHop on arxiv!
• Dec, 2023 Awarded the Fu Bell Scholarship (top 1% accross National Taiwan University)! News
• Sep, 2023 1 paper (Sparse Hopfield) accepted at NeurIPS 2023!
• Sep, 2023 1 paper (Quantum Material&Vacuum Annealing) accepted at Spin Journal!
• Sep, 2023 Enrolled NTU Physics as a freshman student!

Topics I am currently working on experimental quantum information @ Bernien Lab:

• Rearrangement Protocal of Dual-Species Atom Arrays

Topics I am currently working on statistical machine learning @ Magics Lab:

• Computational and Statistical Theory of Ising Model in Machine Learning
• Sparse Modern Hopfield Models (NeurIPS 2023)
• STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction (ICLR 2024)

Topics I have previously worked on 2D materials @ Quantum Electronic Material Lab:

• Magnetoresistance properties in nickel-catalyzed, air-stable, uniform, and transfer-free graphene (Nanotechnology)
• Modulation of Quantum Electronic Material Transport via Vacuum Annealing (Spin)

Topics I have worked on first principle calculation:

• Ab Initio Study on the Growth Mechanism of Graphene on Metal
• Layer-dependent Properties of $SnSe_2$ Two Dimensional Materials
• First-Principles Study on Half-Metallic Ferrimagnetism in Pb-based Double Perovskites