presentations
Research presentations at prestigious institutions showcasing advances in machine learning and computational biology.
Major Academic Presentations
University of California, Berkeley
2024Cross-Validation Methods for Network Inference Algorithms
Presented novel methodological advances in cross-validation frameworks for evaluating co-occurrence network inference algorithms. The presentation highlighted the development of robust statistical approaches for handling high-dimensional biological data and their applications in microbiome research.
Arizona State University ML Day
2023Machine Learning Optimization for Biological Network Analysis
Conference presentation at ASU's premier machine learning event, focusing on the intersection of optimization techniques and biological data analysis. Demonstrated practical applications of hyperparameter optimization in microbiome association prediction using high-performance computing resources.
University of Arizona Seminar
2023Co-occurrence Network Inference: Methods and Applications
Departmental seminar presentation exploring the theoretical foundations and practical applications of co-occurrence network inference in computational biology. Discussed the challenges of validating network inference algorithms and presented solutions through novel cross-validation approaches.
Presentation Impact & Recognition
3
Prestigious University Presentations
200+
Estimated Audience Members
3
States Represented