Alexander L. Hayes is a Health Informatics Ph.D. Student working with Professor Kay Connelly and the Proactive Health Informatics Department on the Precision Health Initiative. His interests are in statistical relational artificial intelligence (STARAI), systems, open source development—and their applications toward solving real-world Health Informatics problems. He holds a B.S. Computer Science from Indiana University, and continues to collaborate with Professor Sriraam Natarajan and his colleagues from the StARLinG Lab at the University of Texas at Dallas.
He is currently working in the nuMoM2b (new-mom-2-be) data set, where one of the aims is to model the development of gestational diabetes. Additional information about this project is included in the nuMoM2b preprocessing documentation.
User Friendly Automatic Construction of Background Knowledge: Mode Construction from ER Diagrams
Inductive Logic Programming systems allow domain experts to provide background knowledge to constrain to search space of hypotheses. This machine learning interface includes an algorithm for translating these constraints from Entity-Relationship Diagrams.
- Spring 2018: I am transferring to work as a Research Assistant with the Proactive Health Informatics (ProHealth) Department within the School of Informatics, Computing, and Engineering (SICE) at Indiana University, Bloomington.
- Fall 2018: I will be a Teaching Assistant for Automata Theory (CS 4384.001)
Recent blog posts
We rarely notice that we live inside an invisible layer of liquid heat. This describes how I glimpsed into the heat distribution of the IU Informatics Building.
k-means clustering can be used on images to automatically perform color quantization. This demonstrates how to cluster colors in an animation.
k-Nearest Neighbors sometimes gets a bad reputation for being too simple. So I implemented it in as few lines as possible.
This short guide collects some examples of drawing finite state machines using the Tikz LaTeX library.