Current Team
Assistant Scientist
- Hongwei Jin - Agentic AI Argonne National Laboratory
Post-doctoral Researchers
- Allyson Hahn - Enabling neural architecture search and hyper-parameter search in continual learning (external collaborator)
Ph.D. Students (Co-advised)
- Protik Nag - Continual Learning for Large Language Models
Alumni
Past Post-doctoral Researchers
- Hongwei Jin - Graph Neural Networks Argonne National Laboratory
Past Ph.D. Students
- Karen Medlin - Analyzing Imbalanced-data using MCMC University of North Carolina - Charlotte
Summer Students
- Yuxin Zi (Givens Fellow) - Continual Molecular Property Prediction
- Haoyang Zheng (Givens Fellow) - Thompson Sampling to Improve Sample Efficiency of Proximal Policy Gradients
- Himali Kalanchige (NSF-MSGI Fellow) - Analyzing Imbalanced-data with Neural Networks
- Phanindra Raja Chava (BS) - Indoor Localization using Bluetooth Low Energy
- Shweta Garg (BS) - Parallelized Implementation of Deep Neural Networks in Tensorflow and Python
- Shameeya Airhart (High School (ACT-SO)) - Using Machine Learning to predict retention time of a molecule
- Taree Evans (High School (ACT-SO)) - Is there a correlation between gut microbiota and acute stress?