Xiaoye (Sue) Liu

Design and develop RESTful API endpoints support restaurant online ordering and orders management for customer, restaurant ops and internal admin. Takeout system features team/group ordering.
Feature Highlights: Everything of restaurant order life-cycle including: user cart handling, checkout, orders processing and management from restaurant, menu/sites search and manipulation, performance monitoring and testing, etc.
Contribution Highlights: Leading and coordinating the backend… Show more

Design and develop RESTful API endpoints support restaurant online ordering and orders management for customer, restaurant ops and internal admin. Takeout system features team/group ordering.
Feature Highlights: Everything of restaurant order life-cycle including: user cart handling, checkout, orders processing and management from restaurant, menu/sites search and manipulation, performance monitoring and testing, etc.
Contribution Highlights: Leading and coordinating the backend migration from BOPS system to Takeout system. Solo integration and transforming BOPS payment, promotion and rewards handling into micro-services for Takeout. Show less

Develop and partially designed RESTful API endpoint for detecting customer arrival and managing alert sending to retailer associates when customer picking up orders after shopping through BOPS service. Implemented API for Data dashboard of customer arrival trips statistics, and performance monitoring. Performance optimization.
Contribution Highlights: implemented all the initial features requests from scratch including supporting user location processing, arrival time estimation, arrival… Show more

Develop and partially designed RESTful API endpoint for detecting customer arrival and managing alert sending to retailer associates when customer picking up orders after shopping through BOPS service. Implemented API for Data dashboard of customer arrival trips statistics, and performance monitoring. Performance optimization.
Contribution Highlights: implemented all the initial features requests from scratch including supporting user location processing, arrival time estimation, arrival notification sending and device subscription (SMS/SNS). Internal support endpoints for merchant sites AD attributes managing. AD estimating algorithm improvement with graphhopper and google eta and curbside in-house eta data. Show less

Machine learning course project developed in Python
Predicted 55K users’ listening history based on 55K training data and full listening history of 1M users
Improved basedline algorithm based on popularity by 3 times with collaborative algorithms.

Ovarian Cancer is the most lethal gynecologic malignancy. Analyzing the molecular events related to ovarian cancer helps understand the pathogenesis of ovarian cancer from a genetic point of view. As miRNA singletons have been found significantly related to ovarian cancer and many other cancers, miRNAs have been recognized as an important riboregulator of gene expression. However, little is known about how pairs of miRNA expression profiles associate with ovarian cancer. In our analysis, we… Show more

Ovarian Cancer is the most lethal gynecologic malignancy. Analyzing the molecular events related to ovarian cancer helps understand the pathogenesis of ovarian cancer from a genetic point of view. As miRNA singletons have been found significantly related to ovarian cancer and many other cancers, miRNAs have been recognized as an important riboregulator of gene expression. However, little is known about how pairs of miRNA expression profiles associate with ovarian cancer. In our analysis, we explored the combinatorial effects of miRNA pairs on regulating gene expression. We assessed the non-additive interaction between miRNA pairs on gene expression of patients that carry high grade ovarian cancer. We demonstrate how different miRNAs collectively contribute to ovarian cancer. We will illustrate two examples of miRNA pairs, hsa.miR.937 & hsa.let.7b and hsa.miR.1277& hsa.miR.485.3b, that we found exhibit non-additive interaction pattern on affecting gene expression of the patients with high grade Ovarian Cancer. Show less