Yuxing Fang Email & Phone Number

London, England, United Kingdom

•Successfully mapped millions of clinical data points to approximately 400 concepts, leveraging word embedding methods for robust semantic standardization in NLP.•Crafted a hybrid LLAMA2 rule-based model that streamlined knowledge extraction, boosting processing speed by 1000x.•Launched Regex-Builder, an integrated development suite tailored for researchers without AI expertise, featuring an intuitive interface with templates, validation, and a real-time sandbox tailored for patient data exploration.

Oxford, England, United Kingdom

• Engineered an NLP training framework for patient EHRs, incorporating NER and classification models, and coding for deployment, processed over 4 million patient records.• Refined BERT and RoBERTa models, halving execution time, cutting operational expenses, and boosting accuracy via hyperparameter optimization.

•Developed DNN-based models for real-time decoding of semantic concepts from direct brain recordings, enhancing model interpretability and computation transparency.•Implemented Representational Similarity Analysis to align BERT's sentence interpretation with the representational structure of brain activities.•Employed DNN-HMM hybrid models with topic modeling to map millisecond-level semantic and phonological representations in the cortex, presenting findings in a detailed poster.

Beijing City, China

• Developed an SVM-based method for testing semantic representations in white matter connectivity. Findings demonstrated that white matter connections and grey matter regions encode different types of semantic information (Fang et al., 2018)• Full stack developer (architecture design, hardware installation, software and network configuration, HCP software development, and daily management and maintenance)• Maintained two systems for clinical imaging processing (512 CPU cores / and ~1000 CPU cores systems).

Cambridge, Usa

Doctor Of Philosophy - Phd, Psychology

Bachelor'S Degree, Horticultural Science