Dr. Yeung Yeung Leung

- Develop Machine Learning workflows to perform target nomination, causal network inference and in silico perturbation - Design, benchmark and optimization of statistical, LLMs and generative models

Annotation of patient disease profile via natural language processing of clinical documents - Optical character recognition, RegEx pattern matching, Name Entity Recognition, 
pre-trained Bert text embedding Genome wide association study of neurodegenerative diseases - Linear Mixed Effect Model, LDSC, MAGMA, gene set enrichment

• Identify the key features in brain oscillation that influence motor-behavioral outcome - Time frequency spectral analysis, linear mixed effects models, permutation statistics - Created recurrent neural networks (LSTM, GRU) and Bayesian optimized XGBoost models - Using SHAP approach to evaluate the key determinants in model decision • Generated a data processing pipeline for the neurophysiological and behavioral data

• Investigation of a novel mechanism of synaptic vesicle release • Collaboration with mathematicians to simulate calcium dynamics in synaptic boutons • Programming in Matlab and ImageJ for high throughput electrophysiology and imaging data analysis • Supervision of undergraduate and master students • Teaching of practical laboratory sessions • Three publications: one under review, two in preparation

• Investigation of the effect of iron overdose on memory formation in the rat • Supervision of undergraduate student • Teaching of practical laboratory sessions in the medical school

• Genetic association study of Developmental Dyslexia • Recruitment of nuclear families at a science booth • PCR primer design and optimization

Neuroscience, Electrophysiology, Calcium live imaging, Script writing in Matlab, Virus production

Neuroscience, Electrophysiology