معرفی
Dr. Ting Hu is an Associate Professor in the School of Computing at Queen's University, affiliated with the Faculty of Arts and Science. She leads the Machine Intelligence & Biocomputing (MIB) Laboratory, focusing on bio-inspired AI and bioinformatics. Her research bridges evolutionary computing, machine learning, and biomedical data analysis. Dr. Hu holds a PhD in Computer Science from Memorial University and completed postdoctoral training at Dartmouth College. She teaches courses with strong student evaluations, winning the Howard Staveley Teaching Award (2019-2020) and recognition as a Mental Health Champion (2023).
Education:
- B.Sc. in Computational Mathematics, Wuhan University
- M.Sc. in Computer Science, Wuhan University
- PhD in Computer Science, Memorial University
- Postdoctoral Fellowship, Geisel School of Medicine, Dartmouth College
Research Interests:
- Evolutionary algorithms and genetic programming
- Interpretable and explainable AI
- Biomedical data mining (metabolomics, genomics)
- Complex network analysis
- Applications in precision medicine and disease prediction
Awards & Recognition:
- Queen's AMS Undergraduate Mentorship Award (2025)
- IEEE CIBCB Best Student Award (2022)
- Howard Staveley Teaching Award (2019-2020)
- NSERC Discovery Grant Reviewer (2019)
- Memorial University's Best Professor Award (2016)
Lab & Collaborations:
- MIB Lab develops tools like geneDRAGNN (graph neural networks for gene-disease prioritization)
- Active roles in IEEE Computational Intelligence Society and EuroGP
- Advances include vaccination strategies via graph-RL and interpretable clustering methods
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