معرفی
Yijie Wang is an Assistant Professor in the Department of Computer Science at Indiana University Bloomington, focusing on machine learning, numerical optimization, and computational biology. He received his Ph.D. from Texas A&M University and actively recruits graduate students for research assistantships.
- Education: Ph.D., Texas A&M University
His research integrates machine learning with computational biology, emphasizing Bayesian methods, graph theory, and numerical optimization. Recent publications demonstrate applications in genomics, sensor technology, and biomedical data analysis.
His work spans
- Sparse modeling and neural network pruning for biomedical applications
- Graph-based machine learning for biological networks
- Bayesian inference in high-dimensional data
- Optimization algorithms for computational biology
- Edge computing and sensor data processing
- Probabilistic modeling of genomic datasets
Scientific Awards
- NIH MIRA award
- Indiana University Faculty Research Support Program—Seed Funding
Yijie Wang seeks motivated graduate students for collaborative research projects in machine learning and computational biology. He has published in top venues like ICLR, NeurIPS, and RECOMB, with applications in genomics and sensor systems.
