- Visiting Lecturer, Engineering Technology & Industrial Distribution,
- Manufacturing & Mechanical Engineering Technology
- Email: hairongwhr@tamu.edu
- Office: THOM 117H
Educational Background
- B.A., Mathematics, University of Oxford – 2018
Research Interests
-
Methodology Developments:
- Integrate domain knowledge into data-driven algorithms with high-dimensional and multi-modal health datasets.
- Knowledge Informed Machine Learning & Deep Learning
- Self-supervised Learning, Weakly-supervised Learning and Semi-supervised Learning
- Transfer Learning, Multitask Learning, Ordinal Learning and Domain Adaptation
- Uncertainty Quantification
Applications:
- Improve clinical decision-making and support disease characterization understanding and discovery.
- Prediction of Glioma Growth and Invasion
- Cell Type Identification of Glioblastoma
- Early Detection of Alzheimer’s Disease
- Prognosis related to Concussion, Migraine and Post-Traumatic Headache
- Integrate domain knowledge into data-driven algorithms with high-dimensional and multi-modal health datasets.
Awards & Honors
- Student Data Analytics Competition Winner, Institute of Industrial and Systems Engineers Data Analytics and Information Systems (DAIS) division – 2024
- Wally George Fellowship, Georgia Institute of Technology – 2024
- Best Paper Award, INFORMS Data Mining and Decision Analytics (DMDA) Workshop – 2023
- George Fellowship, Georgia Institute of Technology – 2023
- David Cowan Scholarship, Georgia Healthcare Information and Management Systems Society (HIMSS) – 2022