Profile
I have a strong professional background in computer science, data science, and IT, with over 7 years of industry experience. Currently pursuing a PhD in interdisciplinary neuroscience research, I apply state-of-the-art statistical machine learning techniques. I am passionate about teaching and have experience in developing and delivering educational content in Computer Science. My goal is to inspire and challenge students to achieve their full potential.
Experience
- Research Project: Leading a project to integrate multi-omics data sets from brain tumour experiments using advanced statistical methods. Developed a novel algorithm utilizing the Dirichlet Process to automatically determine the optimal number of clusters in gene expression data. This project is in collaboration with the Department of Brain Sciences at Imperial College London.
- Mentorship and Tutoring: Mentored MSc and undergraduate students, providing guidance and support in laboratory settings as a lab tutor.
- Professional Development: Currently pursuing a Postgraduate Certificate in Higher Education (PGCert HE) to enhance teaching skills and pedagogical knowledge.
Technologies Used: Python, R
responsible for biomedical machine learning/AI models development. The first project is about developing a model for Drug-Target Interaction prediction with Graph Neural Network combined with the attention mechanism. Contribution: Graph Neural Network implementation, benchmark control group training, results collecting, thesis writing.
Technologies Used: Python (Pytorch)
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SPAM SMS identification: fine-tuned an NLP model to classify the SPAM message, and built it as Restful APIs. This will be the foundation for a smartphone security app project in the future.
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Combating news on Twitter: I did the visualisation with node-link diagrams and thesis writing in the team.
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Cryptocurrency price trend prediction: I did data collection, database management, Web UI development in the team.
Technologies Used: Python (Pytorch, Tensorflow, Keras), Javascript, HTML5, R, MongoDB
study modules: Principal of Data Science, Visualization, Advanced Machine Learning, Natural Language Processing, Computational Statistics, Social Science, Algorithms
Technologies Used: Python (Pytorch, Tensorflow, Keras), Javascript, HTML5, R, MongoDB
- Conducting government, schools and hospitals’ IT projects.
- Project management includes budget, tracking, coordinating.
- Led training sessions for staff on new IT systems and software.
- Developed instructional materials and user guides.
- Conducting government, schools and hospitals’ IT projects.
- Project management includes budget, tracking, coordinating.
interior designing, using 3DsMax/Sketchup/AutoCAD.
Websites in PHP;
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In charge of developmental models in Guangzhou Company
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Responsible of production plans involving related departments
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Analyse models’ circuit defects, and advise on modification.
Publications
Web Information Systems Engineering – WISE 2022 (DOI：10.1007/978-3-031-20891-1_7)