Dr. Julian Venegas
Research Consultant, MSU Institute for Cyber-Enabled Research
1450 Biomedical Physical Sciences Building
venegas5@msu.edu
Bio: Dr. Julian Venegas is a Research Consultant at the Institute for Cyber-Enabled Research. Before joining ICER, Dr. Venegas received his Ph.D. in Computational Mathematics, Science, and Engineering from Michigan State University, where he studied machine learning, with a research focus on deep learning, integrative learning techniques (transfer-multitask-multimodal learning), graph learning and interpretable machine learning.
Dr. Venegas also has extensive experience as a data scientist and machine learning engineer with experience in the design, development and optimization of computational methods for complex systems and problems. Dr. Venegas has experience in various application domains, which include finance/risk, drug-discovery, network analysis, image and natural language processing.
Research and technical skills:
AI fine-tuning, RAG systems, pipelines and workflows
Machine learning pipelines and workflows
Statistical Data Analysis
Technical expertise in Python, R, deep learning with PyTorch/Tensorflow, graph learning with DGL and PyG
Selected publications:
- Ding, J., Li, L., Lu, Q., Venegas, J. et al. SpatialCTD: a large-scale TME spatial transcriptomic dataset to evaluate cell type deconvolution for immuno-oncology, Journal of Computational Biology, September 2024
- Molho, D., Ding, J., Tang, W., Li, Z., Wen, H., Wang, Y., Venegas, J. et al. Deep Learning in Single-Cell Analysis, ACM Transactions on Intelligent Systems and Technology, March 2024