Dylan Wootton

Dylan Wootton is a distinguished Researcher and Software Engineer known for his expertise in data communication.

With a plethora of technical skills, Dylan is proficient in a wide array of languages and technologies such as JavaScript, React, d3.js, Python, R, and MongoDB.

His educational background includes a Doctor of Philosophy - PhD in Computer Science from Massachusetts Institute of Technology and a Bachelor's degree with a major in Bioengineering and a minor in Computer Science from the University of Utah.

Throughout his career, Dylan has held roles at prestigious organizations including Visualization Researcher at Massachusetts Institute of Technology, Software Engineer at Microsoft, and Engineering Intern at Genentech.

He has also worked as a Data Visualization Researcher at Visualization Design Lab, a Data Scientist at Sorenson Global Impact Investing Center, and in various research and internship positions in institutions like the Deans Lab for Applied Synthetic Biology and Governor Gary Herbert's office.

Dylan's technical prowess expands to front-end technologies like Vega, Vega-lite, and material UI, as well as back-end technologies including Typescript, KQL, and SQL.

He is experienced in using Spark, Hive, Cosmos, Azure Data Factory, and Presto/Trino for data pipelining purposes.

In addition to his programming skills, Dylan is skilled in data analysis packages like Pandas, NumPy, and SciKit-Learn, and design and visualization tools such as Tableau, D3.js, Adobe Illustrator, and Photoshop.

Dylan Wootton's diverse skill set and extensive experience make him a valuable asset in the fields of research, software engineering, and data visualization.