William Huang
About William Huang
William Huang is a software programmer at the U.S. Geological Survey since 2020, where he has contributed to the development of machine learning applications for geological data. He previously served as Co Editor-in-Chief at Eleanor Roosevelt High School and is pursuing a Bachelor's degree in Computer Science at the University of Maryland.
Work at U.S. Geological Survey
William Huang has been employed as a Software Programmer at the U.S. Geological Survey (USGS) since 2020. His role involves the development of software solutions that support geological research and data analysis. Huang has contributed to the creation of an audio matching database program and an image matching database program, both of which utilize machine learning techniques tailored for geological surveys. Additionally, he has taken on responsibilities in mentoring and training new recruits, guiding them on company guidelines and project expectations.
Education and Expertise
William Huang is pursuing a Bachelor's degree in Computer Science at the University of Maryland, where he has been studying since 2021. His academic focus includes software development and machine learning, which he applies in his professional work at the USGS. Huang's educational background equips him with the necessary skills to develop advanced software solutions for geological applications.
Previous Experience at Eleanor Roosevelt High School
Before joining the U.S. Geological Survey, William Huang served as Co Editor-in-Chief at Eleanor Roosevelt High School from 2019 to 2021. In this role, he contributed to the school's publication efforts, demonstrating leadership and editorial skills. His experience in this position provided him with a foundation in communication and teamwork, which he applies in his current role.
Machine Learning Applications in Geological Surveys
In his capacity as a Software Programmer at the USGS, William Huang has developed innovative software applications that leverage machine learning. His work includes the creation of an audio matching database program and an image matching database program, both designed to enhance the efficiency and accuracy of geological surveys. These projects reflect his expertise in applying advanced technology to real-world scientific challenges.