Name: Prince Donkor
Pronouns: he
Institution: University of Texas at EL PASO
Department: Department of Mathematical Sciences
Biography:
Prince Donkor, born on May 18, 1994, in Accra, Ghana, is an inspiring individual whose life journey is a testament to determination and resilience. From a young age, he displayed a natural talent for Mathematics and Statistics, which he diligently cultivated over the years, earning recognition and numerous achievements in these fields. Education has played a pivotal role in Prince’s life. He pursued a bachelor’s degree in actuarial science at the Kwame Nkrumah University of Science and Technology, excelling academically and developing a profound passion for Statistics and Data Science. In his professional journey, Prince has held significant roles, including Assistant Commercial Officer at Power Distribution Services Ghana and Acting Supply Officer at Ghana Education Services. He is widely respected for his contributions, boasting a track record of noteworthy achievements. Beyond his professional accomplishments, Prince is known for his creativity and adventurous spirit. His life story serves as an inspiration, highlighting the remarkable outcomes that can be achieved through unwavering dedication and hard work. In essence, Prince Donkor’s life is a beacon of hope, motivating others to pursue their passions and persevere in the face of challenges. His story underscores the immense potential within each individual to achieve greatness.
Academic Status: Masters Student
Year in program: 2nd
Research Area/Department: Data Science
Other, specify:
Major/Specialty: STATISTICS AND DATA SCIENCE
Degrees Earned or in Progress: BACHELORS- BSc. ACTUARIAL SCIENCE – (2014-2018) MASTERS- MSc. STATISTICS AND DATA SCIENCE -(2022-2023) In progress
What courses or academic preparation have you completed to prepare for a summer internship experience?
STAT 5494 Statistical Data Mining STAT 5385 Statistics in Research STAT 5380 Mathematical Statistics I STAT 5370 Statistical Network Analysis STAT 5329 Statistical Programming STAT 5428 Intro to Statistical Analysis STAT 5474 Introduction to Data Mining STAT 5454 Post genomics Analysis
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:
My research interests encompass Data science, biostatistics, supervised learning, and survival analysis. Currently, I am conducting research on “”Optimum Life testing plans under Type II Progressively hybrid censoring scheme for my thesis under the guidance of Ritwik Bhattacharya, PhD, an assistant professor at the Department of Mathematical Sciences at UTEP. The primary focus lies in developing an optimum life testing plans under progressively hybrid scheme using an algorithm proposed. Participating in the DOE labs program is a unique opportunity for me to combine my passion for scientific exploration with my dedication to addressing pressing global challenges. My motivation stems from a deep interest in the fields of Data science and AI/machine learning, I am eager to apply my expertise in these areas to contribute meaningfully to the DOE labs’ mission. I know that my research interests align perfectly with the objectives of the DOE labs. These areas of research align perfectly with my interests and expertise, and I believe they will prepare me to embark on a successful intern with the DOE labs. I believe participating in the DOE labs program is driven by a strong desire to contribute to advancements in sustainable energy and scientific discovery. My research interests listed above align seamlessly with the DOE labs’ objectives. I am excited to collaborate with experts in these fields, leverage state-of-the-art resources, and work towards a more sustainable and innovative energy future. Through this program, I am confident that I can make meaningful contributions that will benefit society and the environment.
Computational and Data Science Areas:
Data Analytics and Visualization
Research Synergy:
I am deeply interested in computational science, AI/machine learning, and data sciences because of their potential to address complex challenges. These fields can help DOE labs in simulating and understanding physical processes, optimizing energy systems, and managing large datasets efficiently. My enthusiasm lies in leveraging these technologies to support the labs’ mission of advancing scientific knowledge and creating sustainable energy solutions.
Motivation:
My motivation for participating in this program is rooted in my passion for scientific exploration and a strong desire to make a meaningful contribution to research that can address pressing global challenges. I see this program as a unique opportunity to collaborate with leading experts, access state-of-the-art resources, and engage in cutting-edge research within the DOE labs. By participating, I aim to expand my knowledge, gain valuable hands-on experience, and contribute to advancements in areas crucial for a sustainable and innovative future, all while fostering a strong sense of purpose and dedication to scientific discovery.
Lightning Talk Title: THE STEPS OF DETERMINATION