Xiaochang Miao

Xiaochang Miao is a Staff Software Engineer specializing in Machine Learning at DoorDash.12 Here are some key details about his background and role:

Education and Expertise

Xiaochang Miao holds a Doctor of Philosophy (Ph.D.) in Physics as well as a Bachelor of Science (B.S.) in Physics.1 His educational background in physics has translated into a career focused on data science and machine learning.

Professional Experience

• Current Role: Staff Software Engineer, Machine Learning at DoorDash12
• Location: Based in Sunnyvale, California, USA1
• Experience: He has over 6 years of professional experience in machine learning and data science2

Areas of Focus

Xiaochang Miao's work involves:

• Machine learning
• Statistical modeling
• Predictive analysis
• Data science

Research and Publications

He has published academic articles and is cited in the field, with a verified Google Scholar profile listing his research contributions.3 This suggests he maintains involvement in academic research alongside his industry work.

DoorDash Projects

While specific details of his work at DoorDash are not provided, given his role and DoorDash's focus on machine learning for their platform, he likely contributes to projects involving:

• Search algorithms
• Recommendation systems
• Predictive modeling for delivery logistics
• Data-driven decision making processes

Xiaochang Miao's combination of academic background in physics and professional experience in machine learning positions him as a valuable asset in DoorDash's data science and ML engineering teams, likely contributing to the company's efforts to optimize their food delivery and logistics platform through advanced data analysis and predictive modeling.