Ziyang Song

Assistant Professor
School of Electrical Engineering and Computer Science (EECS)

Ohio University

Athens, Ohio, United States
Email:

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Biography.

Lab Opening. We are hiring Ph.D. students and research interns interested in computational methods and biomedical applications!

Ph.D. Students ( 2 Ph.D. positions for Spring or Fall 2026): Interested Ph.D. applicants should

Hold or be enrolled in a degree program in CS, statistics, or a closely related field.
Have related research experience, preferably with at least one first-authored or co-first authored paper.
Bonus: Experience applying computational methods to biomedical applications.

Research Interns:

We welcome both undergraduate and graduate interns from OhioU and other institutions.

Collaboration with Me. I am open to external opportunities for invited talks, research collaborations, and part-time consulting employment.

✈ News and Travel

[May 2025] I Completed my Ph.D. degree at McGill University.

[Nov 2024] Our TimelyGPT work at ACM BCB won the Risking Star Award.

[Oct 2024] TrajGPT: Irregular Time-Series Representation Learning for Health Trajectory Analysis will appear at Neurips 2024 workshop TSALM.

[Sep 2024] TimelyGPT: Extrapolatable Transformer Pre-training for Long-term Time-Series Forecasting in Healthcare will appear at ACM-BCB with oral presentation!

[Sep 2024] I present an abstract of the work at the CARTaGENE group in Scientific Meeting of the Canadian Translational Geroscience Network.

[Aug 2024] BiTimelyGPT: Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning published at MLHC 2024 as a poster paper!

[Apr 2024] I present a tutorial of my KDD work MixEHR-Seed in Workshop - Genomic Medicine, Therapeutics and Health.

[May 2023] I present an abstract of MixEHR-SAGE work in ISMB GLBIO 2023.

[Apr 2023] I receive financial support from Quebec Government via Quebec Doctoral Scholarship (FRQNT) !

[May 2022] MixEHR-Seed: Automatic phenotyping by a seed-guided topic model published at KDD and won health day best paper award!