Cuong Do

HUPH Honored Professor, Principal Scientist in Data Science and Artificial Intelligence (industry), Adjunct Professor in Data Science & Engineering, Lab Director, Google Faculty Institute Professor, Data Science & AI Leader

Research interests: Machine Learning & Deep Learning in Computer Vision and Natural Language Processing, Large Language Models, Generative AI, Recommender Systems, Reinforcement Learning.

Lab: Data Science Lab (Department of Mathematics)

Past 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 back in 2015 together with Professor James Bridgeman (Former Director of the Financial Mathematics MS program), later changed to Data Science Lab (datascience.uconn.edu) with the Department of Mathematics (later moved to datascience.math.uconn.edu), and helped create the foundations for academic programs in Data Science via designing curriculums for the undergraduate program (Individualized Data Science Major) and the MS program with UConn’s CETL (datascience.uconn.edu), Department of Mathematics, and Department of Electrical & Computer Engineering, and advising University executives the direction of Data Science at the University. I held the Interim Director of Data Science Graduate Program role with the Department of Mathematics from 2017-2019, and a faculty of the Individualized Data Science Major with the Department of Statistics. I led several other international and institutional initiatives for the field of Data Science & AI, such as conferences for students at the University, student competitions hosted by Travelers, and the society community for data science and AI professionals and professors, etc. I work with Google to provide students with GCP resources for learning in the role of a program manager as well as a faculty, and with Amazon Academy for AWS resources.

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