Responsibilities - Research, design, and prototype development of robust and scalable statistical and machine learning models for air travel demand forecasting. - Build data driven tools to analyze large scale data, perform data cleaning, feature selection and feature engineering.- Work with development teams & business groups to ensure models can be implemented as part of a delivered solution and replicable across many clients.- Collaborate with Delivery and Product Managers to understand business needs and devise possible solutions.

Responsibilities: • Lead research team and collaborate with other research groups to accomplish the research/project goals.• Collect large volume of social media data, traffic sensor, and cell phone data; and apply filtering, merging, and statistical processing to get meaningful insights from these large datasets.• Implement econometric models to get a deeper insight on different factors associated with travel demand variation, real-time traffic state variation, human mobility behavior, and crash risk assessment.• Conduct research to develop novel machine learning and deep learning methods for network-wide traffic dynamics modeling, traffic forecasting, and crash risk assessment and prediction using emerging data sources such as social media, mobile phone sensors, advanced vehicle detectors.• Present research/project outcomes in conferences and prepare deliverable reports of the projects.• Assist supervisor in writing research proposals.