YEO Zhen Yuan

National University of Singapore (NUS)

Doctor of Philosophy (Physics, Valedictorian, GPA 4.6/5)
Aug 2020 - Dec 2024

Master of Science (Physics, GPA 5/5)
Aug 2019 - Aug 2020

Bachelor of Science (Honors, Physics, GPA 3.7/5)
Aug 2013 - Aug 2017

NUS Statistics and Data Science (Research Fellow)

Apr 2025 - Present

• Presented two ML research at AI4X 2025 International Conference.
• Modeled and inferred spatial-temporal patterns in Dengue transmissions in Singapore to predict new dengue infections 10X more precise than benchmarks; Published in IOP ML 2025.
• Improved quantification of binding and unbinding of nanoparticles tethered on Supported Lipid Bilayers for biological sensing applications (up to 90% precision for 50 pico-molar concentrations).

NTU Institute for Digital Molecular Analytics and Science (Machine Learning Research Associate)

Oct 2024 - Apr 2025

• Presented two research work at 13th Asia Pacific Microscopy Congress 2025 (APMC13): Nanoparticles & STEM EELS
• Improved quantification of binding and unbinding of nanoparticles tethered on Supported Lipid Bilayers for biological sensing applications (up to 90% precision for 3 pM concentrations).

NUS Department of Physics (PhD Candidature)

Aug 2020 - Dec 2024

• Enhanced electron microscopy for characterizing carbon allotropes to enhance battery anode performance; Published in Advanced Materials 2024.
• Optimized STEM-EELS analysis to characterize nano-materials; Published in ACS Nano 2025.
• Utilized machine learning tools (t-SNE) on neurological signals from mice brains to identify neural patterns linked to goal-directed behavior.

Environmental Health Institute (Internship)

Jan 2021 - Aug 2021

• Conceptualized and quantified the distinction of circulating Dengue, solidifying the discovery of a new genotype of Dengue; Published in Nature Scientific Reports 2021.

NUS Centre for BioImaging Sciences (Research Assistant)

Aug 2017 - Aug 2020

• Modeled and inferred spatial-temporal patterns in Dengue transmissions in Singapore to predict new dengue infections 10X more precise than benchmarks.
• Improved the identification of subtle variations in Drosophila fly gaits to study the progression of neurodegenerative diseases, resulting in more quantified insights.

NUS Graduate Mentor

Aug 2018 - Aug 2020

• Mentored a student in developing a predictive algorithm for uncovering hidden transmission routes in dengue, resulting in a 24-page report.
• Assisted in a science-focused Python programming course for 20 students, leading to a better learning experience.

• Yeo ZY, et al. Inferring the hidden and long-range dengue transmission routes in Singapore. Mach Learn Health. 2025;1: 015015. doi:10.1088/3049-477x/ae16ab
• Lee JH, Loh ND, Yeo ZY, et al. Engineering a Hierarchy of Disorder: A New Route to Synthesize High-Performance 3D Nanoporous All-Carbon Materials. Adv Mater. 2024; e2402628. doi:10.1002/adma.202402628
• Lai W, Lee JH, Yeo ZY, et al. Robust silicon-based anode with high energy density upon dual welding encapsulation. ACS Nano. 2025;19: 38040-38052. doi:10.1021/acsnano.5c13278

eelsmapper

• Data-driven analysis pipeline for STEM-EELS spectra: eelsmapper. Open source on GitHub and available on PyPI

Open Wave Software (Github Contribution)

Sep 2021 - Oct 2021

• Enhanced open-source oscilloscope software by adding high-throughput data collection functionality, enabling continuous data capture and significantly improving the software's efficiency and capability for scientific and engineering applications.

National Day Parade (Volunteer Leader)

May 2018 - Aug 2018

• Led and motivated a team of 10 volunteers for crowd-control and ushering duties during NDP 2018, ensuring smooth operations and positive experiences for attendees by coordinating efforts and maintaining high team morale.

NUS Physics Society (Welfare Director)

Aug 2014 - Aug 2015

• Organized and vetted past year paper solutions for core physics modules, providing reliable and accessible resources to about 40 physics undergraduates.