Olly (Ziqi) Guo
Using machine learning to understand user behavior in virtual environments.
Department of Computer Sciences
The Department of Computer Sciences (CS) offers a dynamic environment for study, research and professional growth.
Kincannon Wilson
Exploring the intersection of virtual reality with mental health and consciousness
Ashutosh Parida
I am working on innovating user interactions and virtual reality (VR) mechanics aimed at enhancing the training programs for the USDA Forest Service. This may involve creating tools to assess timber merchantability or developing various immersive virtual environment effects that simulate intricate details of forest activities.
Rohan Sonthalia
My research involves improving embedding of DNA sequences into vectors. With the help of which I aim to predict phenotypes using semi supervised and unsupervised learning algorithms.
Sean Kennedy
My research interests lie in human-facing robust and resilient machine learning, with an emphasis on real world deployability. Previously, I have worked on reinforcement learning for human-AI collaborative mission planning and developing measures for assessing robustness and security of machine learning models under adversarial attack.
Kristie Schultz
Program Coordinator - INTEGRATE
Supporting the work of the INTEGRATE NRT Program
Jasper Lee
Designing practical, data-efficient algorithms with rigorous guarantees for statistical applications
Jifan Zhang
Efficient and robust active learning that reduces data labelling costs at scale
Stephen Wright
George B. Dantzig Professor of Computer Sciences
Optimization algorithms with applications to data analysis and other areas.
Michael Ferris
John P. Morgridge Chair in Computer Sciences
Jacques-Louis Lions Professor of Computer Sciences
Director of Data Science Hub
Optimization methods and data modeling for large scale problems in science, engineering and economics