Name: Edem Boahen
Pronouns: he/him
Institution: Michigan State University
Department: Mathematics
Biography:
Hailing from the vibrant nation of Ghana, Edem Boahen’s academic journey is a testament to his unwavering commitment to the world of mathematics. His pursuit of knowledge began at the University of Ghana, where he graduated with a single major in Mathematics Bachelor of Science. Following this feat, he returned to his alma mater as a teaching assistant in the Mathematics department, sharing his passion and knowledge with the next generation of scholars. Continuing his quest for mathematical excellence, Edem ventured to the African Institute for Mathematical Sciences (AIMS) in Ghana. There, he obtained a Master of Science in Mathematical Sciences program, culminating in a thesis titled “Combinatorial Categories” under the expert guidance of Professor Ulrich Krahmer from Dresden University. Currently, Edem Boahen is a Ph.D. candidate at Michigan State University, where he is delving into the realms of random matrices, high-dimensional probability, and compressive sensing under the mentorship of Professor Mark Iwen. He also serves as a graduate teaching and grader for Several undergraduate mathematics courses. Edem’s passion for mathematics continues to flourish, promising innovative contributions to these intricate fields. Edem’s journey is a remarkable testament to the transformative power of education, curiosity, and dedication to mathematical exploration.
Academic Status: PhD Student
Year in program: 3rd
Research Area/Department: Applied Mathematics; Computer Science; Data Science; Machine Learning/AI; Mathematics; Physics
Other, specify:
Major/Specialty: High Dimensional Probability and application, Random Matrix Theory, Compressive sensing.
Degrees Earned or in Progress: Bsc Mathematics 2018 MSc Mathematical Science 2020 MSc Mathematics 2023 Phd Mathematics in Progress
What courses or academic preparation have you completed to prepare for a summer internship experience?
MATH 994 High-Dimensional Probability with Applications CMSE 890 Fast and Memory Efficient Algorithms for Big Data MATH 357 Computational Mathematics I MATH 358 Computational Mathematics II
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’m intrigued by the potential of compressive sensing, high-dimensional probability, and computational harmonic analysis. My research focuses on: 1.Compressive Sensing: I’m exploring how to recover rich information from sparse signals, aiming to revolutionize traditional data acquisition methods. 2. High-Dimensional Probability: I’m delving into the complex world of high-dimensional spaces, seeking to understand and predict random phenomena. This has far-reaching applications in fields like machine learning and data science. 3.Computational Harmonic Analysis: I’m developing new methods for signal analysis, with a focus on wavelets and Fourier transforms. This has potential applications in image processing and data compression. My ultimate goal is to apply these theoretical concepts to real-world problems, making a tangible impact in areas like medical imaging, big data analysis, and machine learning algorithms.
Computational and Data Science Areas:
Applied Mathematics; Computational Science Applications, i.e., Bioscience, Cosmology, Chemistry, Environmental Science, Nanotechnology, Climate, etc.; Computer Science; Data Analytics and Visualization; High-Performance Computing; Machine Learning and AI
Research Synergy:
I am profoundly interested in computational, AI/machine learning, and data sciences research due to their transformative potential in solving complex real-world problems and advancing scientific knowledge. My academic and research journey, as outlined in my biography, has provided me with a strong foundation in mathematics, which I believe is crucial for these fields. My experiences, from serving as a teaching assistant to conducting research in areas such as “Combinatorial Categories” during my Master’s program, have honed my analytical and problem-solving skills. These skills are directly transferable to computational sciences, where complex algorithms and models often require a deep understanding of mathematical principles. Machine learning and data sciences, on the other hand, align with my interest in high-dimensional probability and random matrices. The ability of AI and machine learning to uncover patterns and insights in vast datasets is invaluable, especially in applications like statistical physics and quantum mechanics. I see a strong synergy between my research interests and the mission of the DOE labs. The DOE’s focus on energy, environmental, and nuclear sciences requires cutting-edge computational and data-driven approaches to address the complexities of these domains. My expertise in mathematical modeling, combined with AI and data science, can contribute to optimizing energy systems, analyzing nuclear data, and solving environmental challenges. In summary, my academic journey has equipped me with the mathematical and analytical foundation necessary for computational sciences, AI/machine learning, and data sciences. I believe that these skills can be applied effectively to tackle the DOE’s critical research areas, making a meaningful contribution to the advancement of science and addressing pressing global issues.
Motivation:
I am profoundly motivated to participate in this program due to its unique opportunity to collaborate with leading experts, access cutting-edge resources, and contribute to research that has a profound societal impact. The program’s commitment to research excellence is evident through its provision of world-class facilities, mentorship, and collaborative environments within DOE labs. This atmosphere facilitates pushing the boundaries of scientific knowledge and addressing real-world challenges. Furthermore, the interdisciplinary opportunities within DOE labs are exceptionally appealing. These labs serve as epicenters of cross-disciplinary research, nurturing a vibrant ecosystem of ideas and innovations. I eagerly anticipate the chance to collaborate with experts from diverse fields, recognizing that such collaborations often lead to groundbreaking discoveries and innovative solutions. Moreover, the DOE’s overarching mission encompasses critical domains such as energy, environment, and national security. I am passionately driven by the opportunity to apply my skills and knowledge to confront pressing global challenges, whether it involves devising sustainable energy solutions, mitigating environmental impacts, or enhancing national security through advanced technologies. Ultimately, my motivation for participating in this program is deeply rooted in my passion for research, my unwavering commitment to addressing critical global challenges, and my fervent desire to learn, grow, and collaborate within the distinguished scientific community of DOE labs. I am wholeheartedly eager to contribute my skills and enthusiasm to further the DOE lab’s mission of advancing knowledge and making a meaningful impact on the world we inhabit.
Lightning Talk Title: Edem_Boahen_Lighting_Talk