SB

Seungyeob Baek

Associate Professor
Department: Data Science School
Office location and address
31 Bonnycastle Dr
Charlottesville, Virginia 22903
DMREF: Physics-Informed Meta-Learning for Design of Complex Materials
Source: U.S. National Science Foundation (NSF)
March 15, 2022 – February 28, 2026
Simulation to Support Competency-Based Training in Orthopedic Trauma
Source: University of Iowa
August 01, 2021 – July 31, 2022
Water and chloride movement in neurons during seizure activity
Source: University of Iowa
January 01, 2022 – June 30, 2022
(MURI) Integrating Multiscale Modeling and Experiments to Develop a Meso-Informed Predictive Capability for Explosives Safety and Performance
Source: CURATORS OF THE UNIVERSITY OF MISSOURI
October 01, 2021 – June 30, 2022
DS 4993: Independent Study in Data Science
Credits: 1–4
Reading and research under the direction of a faculty member. Students must obtain approval from a faculty advisor to approve and direct the independent study. Final approval by the Director of Undergraduate Programs is also required.
DS 6050: Deep Learning
Credits: 3
A graduate-level course on deep learning fundamentals and applications with emphasis on their broad applicability to problems across a range of disciplines. Topics include regularization, optimization, convolutional networks, sequence modeling, generative learning, instance-based learning, and deep reinforcement learning. Students will complete several substantive programming assignments. A course covering statistical techniques such as regression.
DS 6999: Independent Study
Credits: 1–12
Graduate-level independent study conducted under the supervision of a specific instructor(s)
DS 8998: Master's Level Thesis Research
Credits: 1–12
Engages students in identification of a research question, a review of the literature and the application of an existing data science tool or technique (algorithm) to that problem. This is a mentored experience and will allow the student to demonstrate their capacity for research and begin to develop a relationship with a faculty mentor in Data Science. Course requires instructor permission.