- Developed the EXACT (Evolutionary eXploration of Augmenting Convolutional Topologies) and EXAMM (Evolutionary eXploration of Augmenting Memory Models, formerly known as EXALT) algorithms.
- Principal Investigator for the National General Aviation Flight Information Database (NGAFID), a project aimed at monitoring and predicting potential flight safety issues.
- Co-PI on NSF Award #2225354 CPS: Small: Informed Contextual Bandits to Support Decision-Making for Intelligent CPS, which focuses on time series forecasting, anomaly detection, and error correction using neuroevolution.
- A main contributor to the development of both the compiler and runtime for SALSA and SALSA Lite, programming languages based on the actor model of computation, designed for easy development of concurrent and transparently distributed applications.
Background
A professor specializing in Data Science, focusing on applying machine learning to large-scale, real-world datasets. His interests lie at the intersection of evolutionary algorithms and neural networks, or 'neuro-evolution', and developing systems for practical scientific use with high performance and distributed computing.
Miscellany
Currently recruiting a new PhD student with a strong background in software engineering and expertise/interest in natural language processing, large language models, web development, and web scraping.