I am an assistant professor at Tulane University. My research interests include incorporating interactive visualization into data science analyses to increase understandability of the results and the analyses themselves.
An introduction on how graphical representations of data can be used to aid understanding. This course details the theory and practice of designing effective information visualizations. The techniques learned in this class have wide applications to all fields in engineering and science, where due to increasing sizes and complexity, data now demands effective presentation and analysis. This course will cover the principles, methods, and techniques that are fundamental to information visualization.
Undergraduate course, University of Arizona, Computer Science Department, 2021
An introduction to mathematical concepts for Computer Science. Topics include first-order logic and logical arguments, proof techniques with an emphasis on mathematical induction, sets, relations and functions, properties of integers, counting methods, probability, and recurrences.
Undergraduate course, University of Arizona, Computer Science Department, 2020
An introduction to mathematical concepts for Computer Science. Topics include first-order logic and logical arguments, proof techniques with an emphasis on mathematical induction, sets, relations and functions, properties of integers, counting methods, probability, and recurrences.
