逗号简历

Responsible for clinical decision support system "AI-Pathway Companion" that helps physicians standardize and accelerate clinical decisions through AI.

Developed natural language processing model that improved performance of current decision support system by 10%.

Researched and performed a statistical, qualitative, and quantitative analysis in healthcare.

Proposed approach for automatic generation of semi-structured representations of radiology reports that outperformed the baselines under quantitative evaluation and qualitative judgment by 5%.

Worked on research problems in the medical field: reducing human time and effort devoted to annotating data, automatically detecting the presence of key findings from clinical reports, predicting patients' survival, simplifying lay-language of clinical reports.

Teaching Assistant for courses: Python Programming, Data Science, and Math in Computing.

Designed and engineered machine learning systems to automate the sentiment polarity of drug reviews.

Created data visualization graphics, translating complex data sets into comprehensive visual representations.

Proposed approach outperformed baselines by 8% under quantitative metrics.

Developed web-based applications for clients and assisted team members in enhancing client-side software solutions.

Succeed to deliver projects in the half time estimated by clients and increased revenue of project by 50%.

Researched for a graduate thesis on distributed systems using the Azure Service Fabric platform.

Designed and built mini microservice-oriented application for tracking and reducing electrical power failure.