Singapore
PROJECTS [ 13/01/2022 – 30/05/2022 ] Master's Thesis: A Convolutional Neutral Network Algorithm to Predict Healthy Individuals’ Brain Age • Using MRI images and Python to investigate healthy individuals' brain structure and predict Brain Age to estimate the level of aging. • Using the baseline model and building the CNN structure to fit the preprocessed image data. • Gaining expertise in Computer Vision, image processing, and application of AI in the medical area. [ 01/09/2021 – 01/12/2021 ] Tencent AIMIS Medical AI Competition: Predicitng Brain Age among Health Adults • As the team leader responsible for data processing, analyzing the data set, and preprocessing the original data through Python. • Organizing team members to discuss, and build a CNN network architecture to extract original 3D image features, and conduct statistical tests to compare models. • The model has been announced as a finalist and won 12th place. [ 01/09/2021 – 30/11/2021 ] Cleveland Heart Disease Prediction • Building a heart disease prediction model based on real-world data from Cleveland Heart Disease Data Set. • Cleaning, analyzing, deleting, and decoding the raw data with 13 attributes, computing the correlation between the attributes and heart disease. • Applying classification models to the data, calculating the accuracy and recall score, and choosing the suitable matrix as the indicator. • Visualizing the model and the prediction result using Dash Board.
· Optimized data integration pipelines using Polars and DuckDB, seamlessly joining complex datasets to engineer a comprehensive longitudinal 'wide table' tracking participant activity from 2015 to 2022. · Developed custom Python scripts to standardize highly inconsistent timestamp formats across varied data sources. Significantly improved overall data integrity by programmatically calculating true participant age, rectifying inaccuracies in self-reported data.
• Participated in the Jiangsu data center project, responsible for the data analysis of imaging departments in regional hospitals in Jiangsu Province, constructed the label category system for hospital imaging departments, and presented the data to the Health Commission as a dashboard. • Participated in the Jiangsu data center project, using Python and knowledge graphs to extract imaging examination information from raw data. I completed data collection for 300 district-level hospitals in Jiangsu Province. • Participated in the Chongqing Data Center Project, organized and analyzed the Chongqing imaging department patient data, output the data characteristics of 6 major categories and 28 sub-categories, and displayed the data as a dashboard.
• Analyzing the Competitive products of Health Queries and Health Management and designing the basic functions of the aim product, with the outcome of one Product Requirements Document, one picture of UML, and ten prototypes of Axure. • Analyzing the business metrics of PingAn Healthcare and building up the User Labelling System.
• Using Python and Knowledge Graphs as natural language process tools to extract health information from electronic medical records according to academic requirements. • Using SQL to select, check and analyze data in the data warehouse and query phrases. • Organizing the database fields provided to build the basic framework of the database.
• Researching the Clinical Decision Support System Product and preparing the clinical trial data for VoxelCloud Inc. • Training and annotation of artificial intelligence algorithms. • Responsible for medical device registration.