Research/Training

Research Interests

• Generative AI research 

• Prompt Engineer

• Medical image analysis: image segmentation and machine learning

Experience

• Project: AI Doctors - Ultrasound imaging detection system for breast cell lesions

  • Using XAI methods to understand how CNN algorithms make decisions

• Project: Low-Dose computed tomography report text mining, Taipei Veterans General Hospital

  • The natural language processing algorithm was applied to all reports. 

• Project: Traffic flow combination prediction model based on LSTM-attention-BiLSTM

  • The non-stationary of the short-term traffic flow sequence to improve traffic flow prediction.

Skills

• Deep and Machine Learning: Use scikit-learn and TensorFlow for data modeling, and use Optimization for automatic Hyperparameter tuning. 

• Statistical softwares: SPSS 

• Programming: Python, Matlab

• Environments/packages: Anaconda, Jupyter Notebook, Google Colab (Libraries: SciPy, NumPy, Matplotlib, pandas, etc.)

My Github

Professional and Educational Training

International Conferences

• The 26th Annual Meeting of the Organization for Human Brain Mapping (OHBM), Virtual conference (2020)

• The 11th Symposium of Bioinformatics and Systems Biology in Taiwan (BIT2013)

• The 10th Symposium of Bioinformatics and Systems Biology in Taiwan (BIT2012)