Tylar WC Murray's Abridged Portfolio

Interdisciplinary PhD with a passion for data visualization/analysis, UI design, and software engineering.

Gamified Education and Behavior Change

I lead development of a space exploration edu-game called The Oregon Trajectory , published PhD dissertation based on my work in developing a modeling toolkit called BehaviorSim to aid health behavior change intervention design, coded an android live wallpaper designed to help kids exercise more using only a cartoon avatar, and have been a key contributor in development of the Cosmosium Engine and Asteroid Ventures Prototypes.

Scientific Research and Data Science

I have explored, visualized, and published on a wide-ranging medley of scientific data. Some of my favorites include: a PulsarMapper to re-create the pioneer/voyager map (and more), visualization methods for analyzing many behavioral intervention events (interventionViz), an exploration of genetic algorithms within Conway’s game of Life (LifeGenes). I firmly believe in Free and Open Source Software ideals. I push for permissive licensing, open data, and have demonstrated dedication to these ideals by averaging over 1800 public "contributions" per year for the last 5 years on github alone.

Robotic and Digital Agents

I particularly enjoy coding controllers, whether that means writing embedded C for a wearable UV dosimeter, AI scripting for one of my games, or using genetic neural networks to give cells in Conway’s Game Life the power of movement. This passion and my coding skills pair well with my education in electrical engineering, physics, and human-computer interaction --- allowing me to branch out into emerging robotic and IoT applications.

Next Up...

Although happy in my current role at USF IMaRS I my research interests have solidified around data analysis and visualization on the topics of Gene Regulatory Networks and Cell Signaling Pathway Networks. Please contact me if you see an opportunity to collaborate in one of these areas. I am open to employment opportunities in research support roles related to aforementioned topics or related bioinformatic and gerontology data science.