YEO Zhen Yuan

zhenyuan.yeo13@sps.nus.edu.sg | linkedin.com/in/yeozhenyuan | Publications

Education

National University of Singapore (NUS)

Doctor of Philosophy (Physics, 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

Work Experience

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

Oct 2024 - Present

  • Improved quantification of binding and unbinding of nanoparticles tethered on Supported Lipid Bilayers for biological sensing applications (up to 90% precision for 3 pico-molar concentrations).
  • Enhanced detection of nanoparticles using unsupervised machine learning methods, allowing for high-throughput and automated analysis.

NUS Department of Physics (PhD Candidature)

Aug 2020 - Dec 2024

  • Developed and applied statistical models for characterizing carbon allotropes to enhance battery anode performance; Published in Advanced Materials 2024.
  • Enhanced low-dose electron microscopy with an EMC-based motion correction algorithm, improving resolution and scaling capability (by 1000x) to 1.4 million frames.
  • 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

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.

Co-Curricular Activities

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.