Hi, my name is

Yu-Yuan (Stuart) Yang.

This is my personal web

I’m a cross-disciplinary learner. My research interests span over the fields of biochemical engineering, bioinformatics, molecular modeling and computational biology.

About Me

I am currently working on a project that involves the application of supervised machine learning methods to the selection of representative protein conformations from ensembles generated from molecular simulation. Here are a few technologies I've been working with recently:
  • PyTorch, Scikit-learn
  • GROMACS
  • RDKit, MDAnalysis
  • PyMOL, VMD
  • R, R-Shiny, ggplot2
  • Ruby on Rails

Experience

PhD student/Demostrator - QMUL
Sep 2023 - present

I am a UKRI-funded PhD student in artificial intelligence for drug discovery (AIDD), software developer and demonstrator in London, UK. I am currently working on a project that invovles building a deep-learning model to extract the significant conformations from the molecular dynamics trajectory [projects].

  • Demonstrator: CHE209 (python), BIO213 (planarian regeneration), SEF032 (enzymology of β-galactosidase with absorbance spectrometry; extracting DNA from kiwi fruit) (2024 spring)
Research student/Teaching assistant - NTU
Sep 2019 - Apr 2023

I was a undergraduate research student in Taipei, Taiwan (Sep 2019 - Jun 2021).

  • Topics: whey protein fibril application on emulsion stability [project].

I was a master research student and teaching assistant (Jun 2021 - Apr 2023).

  • Topics: structural biology [project], health informatics [project], cheminformatics [project] and quantum computing [project].
  • Teaching assistant: Calculus (2021 autumn, 2022 spring)
Previous job - More info on Linkedin
before 2021

Education

2023 - present
PhD in Artificial Intelligence for Drug Discovery
Queen Mary University of London
2021 - 2023
Master of Scinece in Biomedical Electronics and Bioinformatics
National Taiwan University
GPA: 4.11 out of 4.3

I studied in the graduate institue of Biomedical Electronics and Bioinformatics, supervised by Prof. Yufeng Jane Tseng.

2016 - 2021
BSc. in Agricultural Chemistry and BEng. in Chemical Engineering (double majors)
National Taiwan University
GPA: 4.04 out of 4.3

Projects

FastEval Parkinsonism
Medical informatics Remote motor assessment Web-based Video-based Deep learning PyTorch Ruby on Rails
FastEval Parkinsonism
Parkinsonism is a medical condition characterized by tremors, slow movement (bradykinesia), stiffness, and difficulty with balance. Our tool offers a video-based solution for users self-assess the likelihood of Parkinsonism.
Whey Protein Fibril Microcapsules
Flourescence spectrometry Absorbance spectrometry Emulsion stability
Whey Protein Fibril Microcapsules
This study investigated the stability and antioxidant properties of bilayer microcapsules made from acidic/alkaline polysaccharide–whey protein isolate fibrils (WPF) containing β-carotene, under acidic conditions.
Structural insights in SARS-CoV-2 Omicron Variants
GROMACS Protein-Protein Interaction
Structural insights in SARS-CoV-2 Omicron Variants
This study aims to investigate the structural insights in SARS-CoV-2 Omicron variants.

Get in Touch

My inbox is always open. Whether you have a question or just want to say hi, I’ll try my best to get back to you!