Victoria Chen
TAMU High Performance Research Computing - Student Consultant at Texas A&M University | Greater Houston
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Victoria Chen is a dedicated junior at Texas A&M University, pursuing a degree in Computer Engineering as a first-generation college student. Currently serving as a Student Consultant for High Performance Research Computing (HPRC), Victoria plays a pivotal role in enhancing the research capabilities of the university's academic community. In this position, she provides essential technical support to users of the HPC cluster, leveraging her expertise in Linux command-line interfaces to assist with job submissions, queue management, and parallel computing techniques. Her commitment to ensuring efficient utilization of HPC resources not only aids researchers in maximizing their computational power but also fosters a collaborative environment where innovative ideas can flourish.
In addition to her technical responsibilities, Victoria is actively involved in designing and developing a full-stack job dashboard that utilizes Ruby, JavaScript, and React.js. This project aims to create an intuitive interface that streamlines the job submission process, making it more accessible for users at all levels of expertise. Her proficiency in programming languages such as Python, C++, and JavaScript, combined with her knowledge of machine learning frameworks like NumPy and Matplotlib, positions her as a valuable asset in any tech-driven project.
Beyond her technical pursuits, Victoria serves as the President of the Society of Asian Scientists and Engineers at Texas A&M University, where she is dedicated to fostering a supportive community for underrepresented students in STEM fields. Through her leadership, she promotes networking opportunities, mentorship, and professional development, empowering her peers to excel in their academic and career endeavors. Victoria's multifaceted experience, from her hands-on technical work in high-performance computing to her leadership in student organizations, exemplifies her commitment to excellence and innovation in the field of computer engineering.
TAMU High Performance Research Computing - Student Consultant at Texas A&M University in April 2023 to Present
Undergraduate Researcher at Texas A&M University in January 2024 to Present
Vice President at TAMU Datathon in January 2024 to December 2024
Software Engineer Intern at JPMorganChase in June 2024 to August 2024
President at SASE TAMU in April 2023 to April 2024
Logistics Organizer at TAMU Datathon in January 2023 to December 2023
Software Engineer Intern at Raytheon Technologies in May 2023 to August 2023
Texas A&M NeuroErgonomics Laboratory: Data Science Undergraduate Research Assistant at NeuroErgonomics Lab in January 2023 to June 2023
Public Relations Director at SASE TAMU in April 2022 to April 2023
SpaceCRAFT VR: Cloud and Automations Engineer at Texas A&M University in August 2022 to December 2022
Server at Willie's Restaurants in May 2022 to August 2022
Soft Matter Mechanics Laboratory - Undergraduate Research Assistant at Texas A&M University in February 2022 to July 2022
Collegiate Committee Member at SASE TAMU in August 2021 to April 2022
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Machine Learning
Python (Programming Language)
Pandas (Software)
NumPy
Matplotlib
JavaScript
Linux
Bash
Git
C++
Scrum
Agile Methodologies
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Discover more about Texas A&M UniversityWhat is Victoria Chen email address?
Email Victoria Chen at [email protected]. This email is the most updated Victoria Chen email found in 2026.
How to contact Victoria Chen?
To contact Victoria Chen send an email to [email protected]. (updated on September 13, 2024)
What company does Victoria Chen work for?
Victoria Chen works for Texas A&M University
What is Victoria Chen's role at Texas A&M University?
Victoria Chen is TAMU High Performance Research Computing - Student Consultant
What is Victoria Chen's Phone Number?
Victoria Chen's phone +44 ** **** *365
What industry does Victoria Chen work in?
Victoria Chen works in the Software Development industry.
Victoria Chen Email Addresses
Victoria Chen Phone Numbers
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