Name: Sean Skaugen
Pronouns:
Institution: Texas State
Department: Computer Science
Biography:
I’m a dedicated computer science student at Texas State University, set to graduate in December 2024 with a strong 4.00 GPA. My journey in the tech world has equipped me with a diverse skill set and rich experiences, making me a promising figure in this field. Proficient in C++, Python, Java, Linux, and machine learning, I’ve also earned MOS certifications in Access, Excel, and Word. Leading as the Project Chair at the Google Developers Club, I guide teams, craft innovative project proposals, and adeptly use programming languages to bring ideas to fruition. My passion for technology goes beyond academics. As an Undergraduate Research Assistant, I tirelessly work to enhance machine learning accuracy through Python scripts and statistical methodologies. During my internship with the Texas Department of Corrections, I conducted thorough data analysis using SQL, Python, and R, contributing crucial insights to decision-making processes. I’ve earned recognition on the Texas State Presidents List, UTRGV Presidents List, and prestigious scholarships like the Will & Mary Hathaway Honors Scholarship and the George W. Brackenridge Endowed Honors Scholarship.
Academic Status: Undergraduate Student
Year in program: 3rd
Research Area/Department: Computer Science; Data Science; Machine Learning/AI
Other, specify:
Major/Specialty: Computer Science Computer Engineering. My focus is currently Machine learning.
Degrees Earned or in Progress: Bachelor of Science Computer Science Concentration in Computer Engineering August 2022 – December 2024
What courses or academic preparation have you completed to prepare for a summer internship experience?
– Data Structures and Algorithms – Assembly language – Discrete Mathematics 1 & 2 – Object Oriented Design – Software Engineering -Machine Learning for Engineering Applications
Have you published any research or worked on research/technical projects? Yes
Where has your research been published or where have you conducted research/technical projects? Texas State University Undergraduate Research Assistant August 2023 – Present San Marcos, Tx -Developed innovative methods aimed at enhancing the overall accuracy of machine learning models. -Craft Python scripts and employ statistical methodologies to gather and analyze extensive datasets.
Please describe your research/academic interests:
Machine Learning and Deep learning techniques. Applying these powerful fields to aid in data analytics.
Computational and Data Science Areas:
Applied Mathematics; Computational Science Applications, i.e., Bioscience, Cosmology, Chemistry, Environmental Science, Nanotechnology, Climate, etc.; Computer Science; National Security; Data Analytics and Visualization; High-Performance Computing; Machine Learning and AI; Quantum Computing and Information Science
Research Synergy:
In summary, my interest in computational, AI/machine learning, and data sciences research is driven by their potential to address complex challenges across various DOE lab domains, from energy optimization to nuclear safety and climate modeling. I believe that these technical areas are not only relevant but also crucial for advancing the DOE’s mission and making meaningful contributions to science and society.
Motivation:
Participating in the HPC boot camp provided me with a unique opportunity to immerse myself in the world of DOE labs, and it was an experience that left a lasting impact. What struck me most was the awe-inspiring technical prowess and capabilities that these labs possess. Witnessing the cutting-edge technology and infrastructure in action was nothing short of remarkable. It truly showcased the incredible depth of expertise that the labs bring to the forefront of scientific research. However, what truly ignited my passion during this experience was the profound sense of purpose and relevance that the DOE labs offer. The ability to delve into research projects that directly address real-life, pressing issues is nothing short of exhilarating. It’s more than just the pursuit of knowledge; it’s the opportunity to make a tangible difference in the world. This aspect of the DOE lab experience resonated deeply with me and fueled my enthusiasm for becoming a part of this dynamic and impactful community.
Lightning Talk Title: Unleashing Creativity: CNN Deep Dream Augmentation and High-Performance Computing