Ph.D. Student Profile: Eric Onyame
Eric Onyame
Hometown:
Accra, Ghana
Education:
M.Sc. in Applied Mathematics 2023, University of Tennessee at Chattanooga
B.Sc. in Mathematics and Economics 2020, University of Cape Coast (Ghana)
Q: What drew you to data science?
With my background in mathematics, I have always found the elegance of structured reasoning and the potency of analytical solutions to be fascinating. This passion led me to teach myself Python and Julia programming, which allowed me to effectively solve complex optimization problems. My experiences solidified my desire to address real-world challenges. Data science, with its unique blend of statistical reasoning, computational expertise, and practical application was a natural progression. I was drawn to it as a means to continue my learning, enhance my computational abilities, and leverage my mathematical and statistical insights to make a tangible difference in society.
Q: When choosing a Ph.D. program, why UVA?
The reputation of the School of Data Science at the University of Virginia is unparalleled. The faculty are renowned for their groundbreaking research and their commitment to fostering the next generation of scholars. Their diverse expertise and the interdisciplinary nature of the program offer an environment where I believe my research interests can thrive and evolve.
Additionally, UVA's state-of-the-art facilities and resources are a testament to its dedication to academic excellence. This, combined with the collaborative atmosphere among the students and faculty, creates an ideal setting for rigorous academic inquiry and innovation. I believe that a wholesome experience, blending rigorous academic work with personal growth and well-being, is crucial during one's Ph.D. journey, and UVA promises just that.
Q: What do you hope to do with your data science degree?
I ultimately aim to serve as a data scientist to extract actionable insights, a software engineer to develop robust systems, and a machine learning engineer to design advanced predictive models. My goal is to integrate these roles, harnessing data to drive innovation and practical solutions in various industries.
Q: What areas of research interest you?
While I haven't settled on a specific topic for my dissertation, my research interests lie at the intersection of deep learning, machine learning algorithm development, and statistical analysis. I'm keen on harnessing these tools to address tangible, real-world challenges.
Q: What has been your favorite class or professor so far and why?
My favorite classes so far are Data Engineering taught by Jon Kropko and Machine Learning taught by Thomas Stewart. Professor Kropko's focus on data pipelines has given me a thorough understanding of how data is managed, processed, and prepared. Professor Stewart also teaches the principles and application of machine learning to create advanced predictive models.
Q: What is a fun fact about yourself?
Every time I pick up a book, it's like boarding a flight to a new destination. I've 'travelled' through countless worlds and timelines, all from the comfort of my reading. My imagination has travelled more miles than my feet ever could!
