Jacques Fleischer

Biography

Jacques is an undergraduate computer science major in the Computing for Global Challenges program of the Biocomplexity Institute at the University of Virginia. His interests include leveraging artificial intelligence to analyze timeseries; he also uses high performance computing to conduct geospatial AI predictions.

References

• von Laszewski, G., Fleischer, J. P., & Fox, G. C. (2022). Hybrid Reusable Computational Analytics Workflow Management with Cloudmesh. arXiv, 2210.16941.
• Fleischer, J. P., von Laszewski, G., Theran, C., & Parra Bautista, Y. J. (2022). Time Series Analysis of Cryptocurrency Prices Using Long Short-Term Memory. Algorithms, 15(7), 230. MDPI AG.
• Fleischer, J. P., von Laszewski, G., Theran, C., & Parra Bautista, Y. J. (2022). Time Series Analysis of Blockchain-Based Cryptocurrency Price Changes. arXiv, 2202.13874.

Project

The tevelop earthquake benchmark analyzes historical data and forecasts earthquakes with Normalized Nash-Sutcliffe Efficiency (NNSE) as a measure of accuracy. The benchmark is ran several times in parallel on several graphics cards and varying epochs to find the best hyperparameter combination.

The cloudmask benchmark reads satellite imagery and classifies portions of images as cloudy or clear sky. Validation loss and inference accuracy are used to identify which epoch number is ideal for optimal classification.

Resources

Compute Resources: 500 GPU-accelerated Slurm hours

Data Resources: at least 5 TB of space for data storage