Knowledge Development Lab

Lab Overview

Data Science is a multidisciplinary field that utilizes statistics, data analysis, machine learning, algorithms, software, and computing systems to extract information, acquire knowledge, and gain insights into the underlying context from which data is generated. The Texas A&M Institute of Data Science (TAMIDS) leads and supports the development of knowledge and expertise in Data Science (and the related areas of Machine Learning and Artificial Intelligence) through multiple programmatic and research activities.

  • Sponsored research for the design, development, and delivery of professional training, including Infrastructure and programmatic support for knowledge development in center-level activities
  • Design, development, delivery, and administration of for-credit education programs and courses in collaboration with academic units
  • Support programs enabling faculty and students to develop new for-credit courses and training activities
  • Consultancy on development of education and training programs in Data Science and AI

Lab Members

Director: Nick Duffield, TAMIDS, Department of Electrical & Computer Engineering
Drew Casey, TAMIDS
Snehashis Chakraborty, TAMIDS, Department of Electrical & Computer Engineering
Krishna Narayanan, TAMIDS, Department of Electrical & Computer Engineering
Haoyu Niu, TAMIDS, Department of Electrical and Computer Engineering
Yalong Pi, TAMIDS
Christi Retzer, TAMIDS
Jian Tao, TAMIDS, School of Performance, Visualization, & Fine Arts

Collaborating Organizations

  • College of Engineering
  • College of Arts and Science
  • College of Veterinary Medicine & Biomedical Sciences
  • Graduate & Professional School
  • Education Research Center
  • Center for Teaching Excellence
  • Energy Institute
  • Mays Business School
  • Health Sciences Center
  • Cybersecurity Center
  • Prairie View A&M University
  • Texas Southern University

Past Events


For further information on the training programs TAMIDS offers, please visit the TAMIDS Training Website.