CV

Education

The Ohio State University, Columbus, OH
Ph.D. in Computer Science and Engineering, Aug. 2024-current
The Ohio State University, Columbus, OH
M.S. in Computer Science and Engineering, Aug. 2024-May 2026
Coursework: Machine Learning, Neural Networks, Speech and Natural Language Processing, Computer Vision, High Performance Computing, Deep Learning
Hong Kong Baptist University, Hong Kong, China
B.S. (Honours) in Data Science, First Class, Sep. 2020-Jun. 2024

Work experience

Research Assistant, OSU Imaging Genomics Lab, The Ohio State University, Mar. 2025-Present
Advisors: Prof. Golrokh Mirzaei and Prof. Ping Zhang
Deep learning for MRI-based prediction of pseudoprogression, stable disease, and progression in glioblastoma follow-up imaging.
Research Assistant, The ASPIRE Group, The Ohio State University, May. 2025-Present
Advisor: Prof. Donald Williamson
EEG-guided music source extraction in multi-source environments using attention and temporal convolution architectures.
Research Assistant, Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science, Dec. 2022-Nov. 2024
Research on clinical prediction, multi-agent reinforcement learning, and futures-market forecasting.
Data Science Intern, Shanxi Branch of Pacific Insurance Agency Co., Ltd., Jun. 2022-Aug. 2022
Worked on data organization, clustering, visualization, database maintenance, and Python/C++ tooling for payroll and business-data analysis.

Skills

Python, C++, machine learning pipelines, deep learning experimentation
Computer vision, multimodal learning, medical image analysis, EEG and audio modeling
Data preprocessing, model evaluation, imbalanced learning, statistical analysis
Research communication, poster presentations, collaborative research

Publications

Timepoint-Specific Benchmarking of Deep Learning Models for Glioblastoma Follow-Up MRI

Guo, W., & Mirzaei, G. (2026). Timepoint-Specific Benchmarking of Deep Learning Models for Glioblastoma Follow-Up MRI. MDPI, 18(1), 36.

Co-Learning: Code Learning for Multi-Agent Reinforcement Collaborative Framework with Conversational Natural Language Interfaces

Yu, J., Wu, Y., Zhan, Y., Guo, W., Xu, Z., & Lee, R. (2025). Co-Learning: Code Learning for Multi-Agent Reinforcement Collaborative Framework with Conversational Natural Language Interfaces. Frontiers in Artificial Intelligence, 8.

Trading Under Uncertainty: A Distribution-Based Strategy for Futures Markets Using FutureQuant Transformer

Guo, W., Wang, Y., Huang, Z., Zhang, C., & Ma, S. (2025). Trading Under Uncertainty: A Distribution-Based Strategy for Futures Markets Using FutureQuant Transformer. arXiv preprint.

A Comprehensive Study on Machine Learning Models Combining with Oversampling for Bronchopulmonary Dysplasia-Associated Pulmonary Hypertension in Very Preterm Infants

Wang, D., Huang, S., Cao, J., Feng, Z., Jiang, Q., Zhang, W., Chen, J., Liu, C., Liao, W., Zhang, L., Zhu, G., Guo, W., Liu, L., Yang, J., & Li, Q. (2024). A Comprehensive Study on Machine Learning Models Combining with Oversampling for Bronchopulmonary Dysplasia-Associated Pulmonary Hypertension in Very Preterm Infants. Respiratory Research.

A Multivariate Logistic Regression Model with Over Sampling for Bronchopulmonary Dysplasia Associated with Pulmonary Hypertension in Very Preterm Infants

Wang, D., Huang, S., Cao, J., Feng, Z., Jiang, Q., Zhang, W., Chen, J., Liu, C., Liao, W., Zhang, L., Zhu, G., Guo, W., Liu, L., Yang, J., & Li, Q. (2023). A Multivariate Logistic Regression Model with Over Sampling for Bronchopulmonary Dysplasia Associated with Pulmonary Hypertension in Very Preterm Infants: A Multi-center Retrospective Study. IEEE MedAI 2023.

Knowledge-enhanced Chain of Thought Named Entity Recognition

Guo, W. (2023). Knowledge-enhanced Chain of Thought Named Entity Recognition. Accepted at CONF-MLA 2023.

Service and leadership

Peer Mentor, BNBU Peer Mentor Collective, Aug. 2021-Jun. 2024
Basketball Centre, BNBU Basketball Team, Sep. 2021-Jun. 2024
Basketball Centre, BNBU Data Science Basketball Team, Sep. 2020-Jun. 2024

Wenhao Guo

CV