Name: Abel Okojunu
Pronouns:
Institution: Florida State University
Department: Mathematics (Applied and Computational)
Biography:
My name is Abel Okojunu, I am a PhD candidate of Applied and computational Mathematics at Florida State University. I had my undergraduate degree form Federal University of Petroleum Resources Effurun (FUPRE) in Delta State, Nigeria. As a high school student, the Idea that one would pursue a career in Mathematics seemed hilarious. Although I loved Math and was doing well in it, I wondered why anyone would leave other important fields in science/tech to study a subject that could at best make you end up as a high school teacher. Thankfully, in the process of time, I was exposed to the huge prospects/opportunities that exists for mathematicians both in Academia and industry and consequently, I am working towards obtaining a PhD in Applied & computational Mathematics here at Florida State University
Academic Status: PhD Student
Year in program: 4th
Research Area/Department: Applied Mathematics; Data Science; Machine Learning/AI; Mathematics
Other, specify:
Major/Specialty: Applied and Computational Mathematics
Degrees Earned or in Progress: Bachelor of Science in Mathematics — Feb 2018 Master of Science in mathematics (Applied and Computational) — May 2023 Doctor of Philosophy in Applied and Computational Mathematics (in progress) — Expected Dec 2025
What courses or academic preparation have you completed to prepare for a summer internship experience?
I have taken several courses in Data Science/Analytics related fields (some of these can be found on my linked in page (with links to the certificates online) as well as on my CV. 01. Numerical solution of Partial Differential equations I & II 02. Introduction to Fluid Dynamics 03. Foundations of Computational Mathematics I & II 04. Computational Methods for continuous problems
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:
I am interested in Applied and Computational Mathematics, Data Science/Analytics and application to problems that exist in science and technology.
Computational and Data Science Areas:
Applied Mathematics; Computational Science Applications, i.e., Bioscience, Cosmology, Chemistry, Environmental Science, Nanotechnology, Climate, etc.; Data Analytics and Visualization; High-Performance Computing; Machine Learning and AI
Research Synergy:
Machine Learning, Data Science, research have so dramatically changed the way scientific research is done in recent times. They have expanded our understanding of divers complex phenomena by enabling researchers to identify patterns from which useful predictions that determine key decisions both in Academia and industry can be made. Some of the tools/techniques currently available in Data Science, Machine learning, and High performance computing can be enhanced through the results of ground breaking research in some of these areas of my interest. The DOE generates large amounts of data from sources like simulations, experimental and observational studies. As a result, they will need computational techniques which are essential for analyzing, processing and extracting meaningful insights from these data. By leveraging tools in AI/Machine learning, Data science, the DOE labs can accelerate their research efforts in solving problems that exists in various areas including (but not limited to) climate change, energy, etc.
Motivation:
As A PhD Candidate of applied and Computational Science at Florida State University, participating in programs like this provides me with the opportunity to learn as well as gain practical experience in computationally intensive high performance data science/ AI Machine learning research which will enable me to acquire new skills, expand my knowledge in the filed and also keep me abreast with the latest developments in the selected areas of interest. Again, participating in this program also provides me with the opportunity to collaborate and network with other students and staff of the DOE lab in real world projects where some of the already acquired theoretical knowledge can be applies to challenging and research projects while contributing to meaning and impactful work at the same time. Collaboration and networking in this manner provides me the opportunity to not only work closely with researchers and professionals in the field, but also exchange meaningful ideas, receive mentorship and also establish valuable relationships/connections with a scientific community outside of my academic environment. Finally, I will have the opportunity to use relevant state-of-the-art facilities and advanced technologies with which the DOE is well equipped. I strongly believe that this will keep me well posed to complete my PhD research program as well as prepare me to work as a researcher wither in academia or industry when my degree program is finally completed
Lightning Talk Title: Linear Instability Analysis of Incompressible Rotating Flows