Design and implement algorithms for a comprehensive AI solution which helps farm management and improves animal welfare based on computer vision- Improve the object detection result in an agile way. (YOLO, deepstream)- Design rule-based algorithm to reduce length of relevant video events from 720 hours to 30 minutes.- Design algorithms to evaluate the importance of events based on motions. (Optical flow algorithm, openpose)- Optimize algorithm efficiency to process 30 streams in… Show more Design and implement algorithms for a comprehensive AI solution which helps farm management and improves animal welfare based on computer vision- Improve the object detection result in an agile way. (YOLO, deepstream)- Design rule-based algorithm to reduce length of relevant video events from 720 hours to 30 minutes.- Design algorithms to evaluate the importance of events based on motions. (Optical flow algorithm, openpose)- Optimize algorithm efficiency to process 30 streams in real time- Propose and demonstrate feasibility of new features of the next phase of the solution (Mask-RCNN)- Lead China segment to cooperate with the US team. - Guide and coach junior data scientists and interns.Other add-hoc projects- Apply image classification model to distinguish different types of skin diseases Show less

- Customer driving behavior analysis and prediction based on vehicle embedded modem data (Technology: Machine learning, Hadoop, Hive-SQL, Spark, Oozie)- Segmentation study based on NCBS (Technology: R, Python, supervised and unsupervised machine learning)- Lincoln dealer coverage study based on geo-information.- Applied Market Demand Model for vehicle fuel consumption, compliance and profitability optimization (Technology: C++, C#, Discrete Choice Model) - Modeling consulting… Show more - Customer driving behavior analysis and prediction based on vehicle embedded modem data (Technology: Machine learning, Hadoop, Hive-SQL, Spark, Oozie)- Segmentation study based on NCBS (Technology: R, Python, supervised and unsupervised machine learning)- Lincoln dealer coverage study based on geo-information.- Applied Market Demand Model for vehicle fuel consumption, compliance and profitability optimization (Technology: C++, C#, Discrete Choice Model) - Modeling consulting for junior analysts- Data collection and visualization (Technology: web crawler, ggplot2, Qlikview, Tableau) Show less

- Using Teradata to pull out and clean clinical data.- Apply logistic regression to study the correlation between delivery with a peanut ball and jaundice.

- Teaching undergraduate level courses- Grading homework for both graduate and undergraduate level courses- Working as a tutor to help students with statistics problems