1. Developed and deployed a deep learning model to extract nonhuman primate trajectory based on videos, improving processing procedure and saving more than 90% of manual processing time.2. Collaborating closely with neural scientists in the lab to identify their needs and translate them into effective and practical machine learning and deep learning solutions.3. Implemented data pipeline and ETL processes to extract, transform and load data for deep learning projects.

1. Developed an epileptic seizure prediction model based on the pre-trained ResNet with a time-wise attention simulation model, increasing the prediction efficiency by 20%-30% in terms of area under ROC curve.2. Designed, developed, and distributed a customer churn prediction system for China’s second largest telecom company using machine learning algorithm, driving retention strategy development for tens of millions of users.3. Developed a movement intention prediction model based on time series EEG signals using deep learning algorithm, increasing the prediction accuracy by 10% without manual feature extraction.4. Mentored and supervised undergraduate and master students in machine learning and deep learning research.

1. Designed and implemented a brain computer interface game based electroenphalogram (EEG) data using machine learning algorithm, offering a brand-new way for gaming. 2. Proposed a regression model for reconstructing time series electromyography (EMG) activity from EEG signals and predicting gestures based on reconstructed EMG. 3. Optimized model performance and efficiency through model selection and structure modification, hyperparameter tuning and feature engineering.