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, RShiny, 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
Wet lab
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.

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!