Ye Chen Email & Phone Number

Seattle, WA, US

Develop machine learning models for frequency management for advertising applications.

Global, CN

• [ Tech Lead for the carpool pricing algorithms ]
• Drove the adoption of deep learning for the eyeball conversion model for price optimization. Improved the gross profit rate by 2pp when using the best Origin-Destination-Time (ODT) price generated the new conversion.
• Developed or guided team members to develop various components / algorithms, e.g., hyperparameter search, user segmentation, feature engineering, order completion rate prediction, etc.
• Unified the simulators for various carpool pricing products (ODT pricing, subscription, long trip pricing, coupon). Reduced the cost of pipeline maintenance by 75%.Collaborated with product, operations and engineering.
• Developed a logistic regression model to classify news into categories (sports, politics, travel, etc). Enabled the “Category Tab” product feature. Improved user retention rate by 5pp.
• Developed a model to determine if a news is a local news. Enabled the “Local News Tab” product feature. Improved CTR by 6%.

San Francisco, California, US

• Developed various machine learning models for real-time and week-ahead demand / supply forecast. Collaborated with downstream teams to optimize matching, surge multiplier and incentives using the forecasts, and.
• Drove DS and Eng efforts to develop and deliver Uber’s first real-time event-aware demand forecasting model from model ideation to the global deployment in 121 cities. Improved the accuracy by 25% during events (sports.
• Collaborated with engineers to prototype and implement 5 improvements to the baseline real-time demand forecast to address impactful model accuracy gaps. Improved model accuracy during non-events time by 17%. Deployed.
• Prototyped models for airport real-time supply forecast. Enabled us to support 2.5x more airports due to improved model performance.Week-ahead forecasting models
• Developed a week-ahead holiday model that improves accuracy by 31%. The reduction in the forecasting error led to 2.7% (absolute) less deviation between budget and actual for a driver incentive program;
• Developed and executed on a roadmap to improve the accuracy and spatial granularity of the week-ahead prediction model for marketplace balance. It enabled repositioning drivers at sub-city granularity and more.

St. Louis, Missouri, US

• Lead seeding rate recommendation research program;
• Discover, explore and obtain both internal and external data sources, evaluate their potential use in seeding rate research;
• Develop and improve seeding rate recommendation models.

St. Louis, Missouri, US

• Develop prediction models (regularized regression, random forest, etc.) to predict corn yield;
• Apply clustering algorithms (k-means, hierarchical, model-based, etc.) to identify sub-field zones;
• Develop and improve matrix factorization methods for corn seed recommendation;
• Lead research projects;
• Manage hiring process for two senior researcher positions for our team.

Armonk, New York, NY, US

Develop machine learning and data mining algorithms for two projects in electric energy industry.

US

• Performed clustering analysis (k-means, hierarchical) to identify important features from brain images.
• Predicted disease status using support vector machine and logistic regression.
• Analyzed brain images (10GB scale) from our collaborators using the methods we developed.
• Developed algorithms to learn fuzzy cognitive maps (FCM, a combination of neural nets and fuzzy systems)
• Analyzed relation between genes from time series using clustering, correlation, Bayesian networks and FCM.
• Supervising a rotation student’s research on brain dynamics simulation (10/2013 – 04/2014).

• Developed power system security assessment algorithms based on kNN, decision trees and SVM.
• Deployed a security assessment module to Sichuan Electric Power Corp., which serves 100 million people.
• Developed evolutionary algorithms (GA, ACO and PSO) to optimize power generation cost.
• Published 10 peer-reviewed articles.

Doctor Of Philosophy (Phd), Electrical Engineering

Master Of Science (M.S.), Power System Engineering

Bachelor Of Arts (B.A.), Electrical Engineering And Automation