Dustin Burns
About Dustin Burns
Dustin Burns is a Senior Managing Scientist at Exponent, where he leads a multidisciplinary team focused on evaluating emerging technologies and addressing global challenges. He has a strong background in physics and applied mathematics, with significant contributions to the discovery of the Higgs boson and expertise in machine learning risk models.
Current Role at Exponent
Dustin Burns currently serves as a Senior Managing Scientist at Exponent, a position he has held since 2023. In this role, he leads a multidisciplinary team focused on addressing significant global challenges and assessing emerging technologies through the application of artificial intelligence. His responsibilities include overseeing complex projects and guiding research initiatives that leverage both laboratory and data analytics skills.
Previous Experience at Exponent
Dustin Burns has an extensive history with Exponent, having worked there in various capacities. He began as a Scientist from 2017 to 2019, then progressed to Senior Scientist from 2019 to 2021, and subsequently served as Managing Scientist from 2021 to 2023. Throughout his tenure, he contributed to numerous projects, utilizing his expertise in machine learning and data analytics to enhance the company's research capabilities.
Educational Background
Dustin Burns has a robust educational background in physics and applied mathematics. He earned an Associate of Science (A.S.) in Physics and Mathematics from Middle Georgia State University from 2006 to 2008. He then completed a Bachelor of Science (B.S.) in Physics and Applied Mathematics at the Georgia Institute of Technology from 2008 to 2011. Following this, he pursued a Ph.D. in Physics at the University of California, Davis, which he completed in 2017.
Research Contributions
Dustin Burns has made significant contributions to scientific research, notably participating in the discovery of the Higgs boson at CERN's Large Hadron Collider in 2012. He is also a founding member of the CRAYFIS experiment, which focused on creating a crowd-sourced cosmic ray detector utilizing smartphone cameras. His research experience includes roles as a Graduate Student Researcher at the University of California, Davis, where he specialized in data analysis from 2014 to 2017.
Expertise in Data Science and Machine Learning
Dustin Burns possesses specialized expertise in developing machine learning risk models aimed at predicting asset failures within utilities companies. He effectively combines laboratory experiment skills with data analytics, contributing throughout the data science lifecycle. His work often involves targeted data collection for consumer electronics companies, including assignments on an international scale.