Steven Xu Email & Phone Number

Bellevue, WA, US

Seattle, Washington, United States

Building DoorDash's Product Knowledge Graph with Multi-modal LLMs.

Seattle, Washington, United States

Personalization; Information Extraction; Product Knowledge Graph; Generative AI.

Cary, North Carolina

I research on Machine Learning algorithms and apply them to analyze high-frequency data collected by intelligent sensors. Examples include robust principal component analysis (RPCA) and KTChart (a SVDD based statistical monitoring chart) for anomaly detection, and independent component analysis (ICA) for blind source separation. Some of the projects I have.

Cary, North Carolina, United States

- Worked with AI Model Development CoE on cybersecurity applications.- Rebuilt False Positive Agent (FPA) that identifies true customer login attempt from Blacklisted IPs. - Researched on machine learning methods for highly imbalanced classification (2% event rate).- Created pipelines for feature engineering, data visualization, and model selection..

Raleigh-Durham, North Carolina Area

- Supervise graders to ensure they work effectively- Manage course website- Teach 3 sessions (35 students each) of undergraduate statistics course.- Educate entry-level concepts to students from various backgrounds with minimum exposure to statistics.- Evaluated by students as an approachable, caring teacher always willing to provide clarification and.

Chapel Hill, North Carolina

Under the supervision of Katie Mollan, MS and Dr. Angie Bengston, I worked on the project "Transporting outcomes from randomized trials to a population of interest under bootstrap multiple imputation" where I applied bootstrap multiple imputation (BootMI) to analyze the uncertainty of causal effects of efavirenz intake (an antiviral treatments for HIV) on.

Greater Seattle Area

Implement some of the newest probabilistic forecasting techniques that had been proposed in the literature and test them using data that has been made available as part of forecasting competitions in the area of renewable energy. Time series regression with models such as gradient boosting machine and neural net. R packages used: GBM, SVM, XGBoost, MXNet.

Doctor Of Philosophy - Phd, Statistics

Bachelor Of Science (B.S.), Statistics

Activities and Societies: Probability Research Organization