Name: Isaac Gbaba
Pronouns:
Institution: University of Rhode Island
Department: Computer science
Biography:
My name is Isaac Gbaba, and I am a student at the University of Rhode Island (URI). I major in three distinct yet intertwined fields: Computer Science, French, and Philosophy. This multidisciplinary education has provided me with a unique perspective and a diverse skill set. One of my foremost passions lies in the realm of machine learning, where I am deeply intrigued by the potential and possibilities of algorithms and data. In addition, I have a growing interest in High-Performance Computing (HPC), which I believe can significantly amplify the capabilities of machine learning and other computational disciplines.
Academic Status: Undergraduate Student
Year in program: 2nd
Research Area/Department: Computer Science; other
Other, specify: french , philosophy
Major/Specialty: Computer Science
Degrees Earned or in Progress: In progress – bs is computer science ba in French ba in philosophy
What courses or academic preparation have you completed to prepare for a summer internship experience?
Im currently Computer Science 212, which focused on data structures and algorithms, and Computer Science 211, centered on object-oriented programming. Additionally, I participated in the HPC bootcamp this summer to further enhance my skills.
Have you published any research or worked on research/technical projects? No
Where has your research been published or where have you conducted research/technical projects?
Please describe your research/academic interests:
Machine learning and hpc is my main interest. However, i love languages and also major in French and philosophy. .
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:
I have always been drawn to the computational sciences because of the unparalleled opportunities they offer in solving real-world problems. The emergence of AI and machine learning, in particular, has revolutionized how we analyze data, make predictions, and automate tasks. My academic preparation in data structures, algorithms, and object-oriented programming has provided me with a solid foundation in computer science, which I believe is crucial for delving deep into AI/machine learning. My participation in the HPC bootcamp this summer further intensified my interest in high-performance computing, a domain closely tied with large-scale machine learning and data analytics. The Department of Energy (DOE) labs are at the forefront of leveraging computational and AI techniques for energy, environmental, and national security challenges. My interests align well with the DOE’s initiatives, especially in harnessing the power of AI for sustainable energy solutions and understanding complex systems. Collaborating with DOE Lab staff would provide a platform to contribute towards these pressing issues while also enriching my knowledge and experience in the field. The synergy between my academic preparation and the DOE’s research focus areas makes this an ideal environment for collaborative and impactful research.
Motivation:
One of my foremost passions lies in the realm of machine learning, where I am deeply intrigued by the potential and possibilities of algorithms and data. My interest in High-Performance Computing (HPC) was sparked after attending an HPC bootcamp, which opened my eyes to its transformative capabilities, especially in enhancing the potential of machine learning and other computational endeavours.
Lightning Talk Title: Unlocking Opportunities: why I’m an ideal Intern candidate