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Contact Information

Linkedin: Link
Email: cuong.do@engineer.uconn.edu
Mailing Address:
Department of Mathematics
University of Connecticut
341 Mansfield Road U1009
Storrs, Connecticut 06269-1009

Office hours: Webex only after 6PM or weekend. Let me know when you’d like to meet, I will send the invitation.

Advising

If you are a student and interested in Data Science/AI, please be welcome to join either the Data Science Undergraduate Student Organization, or the Data Science Graduate Student Organization

About Me

Lead/Principal Data Scientist, and Adjunct Professor in Data Science & Engineering, Google Faculty.

My work involves with Customer Analytics (structured data), as well as Computer Vision and Natural Language Processing. We use Microsoft Azure as the Cloud solution, as well as on-premise HPC.

Research: Machine Learning & Deep Learning in Computer Vision.

Teaching activities:

– Statistics in the following MS programs: Business Data Analytics, Business Analytics & Project Management, and MBA

– Financial Data Mining & Big Data Analytics, and Financial Programming & Modeling in the following MS programs: Financial Mathematics, Actuarial Science, Financial Mathematics – Actuarial Science, and Financial Risk Management (modeling, in the past)

– Data Science Summer Boot Camp: Organized & managed the camp curriculum

– Signal Processing in Electrical & Computer Engineering undergraduate program (only Summers)

During my time at the university, I founded the Data Science Initiative (datascience.uconn.edu), and help create the foundations for academic programs in Data Science. I work with Google to provide students with GCP resources for learning in the role of a program manager as well as a faculty.

Other activities and positions: I held the position as the Interim Director of Data Science Graduate Programs (Department of Mathematics) from 2017-2019, and a faculty of the Individualized Data Science Major (Department of Statistics)

Expertise: Machine Learning, Deep Learning, Data Mining, Pattern Recognition, Big Data, Optimization, Computational Finance, Image Processing, Image Recognition (2D & 3D), Image Reconstruction, Signal Processing, Software Engineering