Highly motivated Health Informatics professional with a Master's in Health Informatics and a Bachelor's in Medicine, specializing in AI-driven data analysis and research for healthcare. Proven ability to develop and deploy machine learning models, extract critical insights from complex medical datasets, and contribute to impactful digital health initiatives. Seeking to leverage expertise in AI, data science, and medical knowledge to advance innovative healthcare solutions.
University Research Assistant
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Summary
Supported Principal Investigators in digital health and behavioral science research, conducting intensive longitudinal data analysis to inform personalized lifestyle interventions.
Highlights
Conducted advanced data analyses on diverse digital health datasets, leveraging wearable sensor and smartphone technologies to extract actionable insights for observational and intervention studies.
Contributed significantly to the Continuous Observations of Behavioural Risk Factors in Asia (COBRA) study, analyzing data from a sub-cohort of SG100k involving 1,500 middle-aged adults.
Analyzed complex interactions between behavioral and environmental factors, identifying critical lifestyle risk factors and utilizing spatial analysis to inform personalized digital lifestyle interventions.
Data Specialist
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Summary
Led data analysis for the Jiangsu Shukang and Chongqing Data Center projects, transforming raw imaging data into actionable dashboards for Health Commissions.
Highlights
Led data analysis for the Jiangsu Shukang data center project, constructing a comprehensive label category system for hospital imaging departments and delivering data insights as a dashboard to the Health Commission.
Utilized Python and knowledge graphs to extract and process imaging examination information from raw data, completing data collection for 300 district-level hospitals across Jiangsu Province.
Organized and analyzed Chongqing imaging department patient data, identifying and presenting data characteristics across 6 major categories and 28 sub-categories via an interactive dashboard.
Product Analyst
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Summary
Analyzed competitive health products and business metrics to design core functions and develop a user labeling system for healthcare solutions.
Highlights
Conducted in-depth competitive analysis of health query and management products, designing core product functions and delivering a comprehensive Product Requirements Document, UML diagram, and 10 Axure prototypes.
Analyzed key business metrics for PingAn Healthcare, developing and implementing a robust User Labeling System to enhance data-driven decision-making and personalization.
Data Engineer
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Summary
Utilized Python, SQL, and Knowledge Graphs to extract and organize health information from electronic medical records for database development.
Highlights
Employed Python and Knowledge Graph-based Natural Language Processing (NLP) tools to extract critical health information from electronic medical records, aligning with academic research standards.
Executed complex SQL queries to select, validate, and analyze data within the data warehouse, ensuring data integrity and accessibility for various applications.
Designed and organized core database fields to establish the foundational framework for a robust health information database, optimizing data structure and retrieval.
Research Assistant
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Summary
Supported clinical trial data preparation and AI algorithm development for a Clinical Decision Support System, ensuring medical device registration compliance.
Highlights
Conducted research on Clinical Decision Support Systems, meticulously preparing clinical trial data to support product development and regulatory submissions for VoxelCloud Inc.
Trained and meticulously annotated data for artificial intelligence algorithms, enhancing model accuracy and performance for medical applications.
Managed critical aspects of medical device registration, ensuring compliance with regulatory standards and facilitating market entry for new products.
Python, SQL, SAS.
Data Analysis, Machine Learning, Deep Learning, Neural Networks, Predictive Modeling, Statistical Analysis, Model Evaluation, Data Cleaning, Data Preprocessing.
Health Informatics, Digital Health, Medical Imaging, Electronic Medical Records (EMR), Clinical Decision Support Systems (CDSS), Medical Device Registration, Health Management.
Artificial Intelligence (AI), Computer Vision, Image Processing, MRI Analysis, 3D Image Feature Extraction, CNN Architecture.
Natural Language Processing (NLP), Knowledge Graphs, Text Extraction.
Dash Board, Axure, UML.
Scientific Research, Project Leadership, Team Coordination, Competitive Analysis, Product Requirements Document (PRD).
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Summary
Developed a Convolutional Neural Network (CNN) algorithm to predict healthy individuals' brain age using MRI images, contributing to the understanding of aging and medical AI applications.
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Summary
Led a team in the Tencent AIMIS Medical AI Competition, developing a CNN model to predict brain age in healthy adults, achieving 12th place.
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Summary
Developed a heart disease prediction model using real-world data from the Cleveland Heart Disease Data Set, involving data cleaning, analysis, and visualization.