Name: Edmund Agyemang
Pronouns: Him
Institution: University of Texas Rio Grande Valley
Department: Mathematics and Statistical Science
Biography:
My name is Edmund Fosu Agyemang. I am from Ghana, pursuing a second master’s degree in applied statistics and data science at the University of Texas Rio Grande Valley (UTRGV) after a first master’s degree in Master of Philosophy in Statistics at the University of Ghana. I emerged as the best graduating statistics student at both my undergraduate and graduate levels at the University of Ghana (UG). Here at UTRGV, I am a first-year graduate student, funded by the Presidential Research Fellowship (PRF). I have a graduate GPA of 3.98/4.0 (WES certified) from my former institution (UG), which I used to gain admission to UTRGV. I am open to applied statistics in any field of study. My objectives are to work wholeheartedly to all assigned duties as much as is expected through hard work and continuous education and to contribute positively towards the progress of the needy in society and impact as many lives as possible.
Academic Status: Masters Student
Year in program: 1st
Research Area/Department: Data Science; other
Other, specify: Applied Statistics
Major/Specialty: Applied Statistics and Data Science
Degrees Earned or in Progress: Master of Science in Applied Statistics and Data Science (2023-Date, In Progress) Master of Philosophy in Statistics (2021) Bachelor of Science in Statistics (2018)
What courses or academic preparation have you completed to prepare for a summer internship experience?
- Advanced Data Analysis 2. Linear Statistical Models 3. Data Analysis with Python (In progress) 4. Statistical Methods with SAS (In progress) 5. Master class Internship in machine learning 6. Reviewer for Scopus-indexed academic journals 7. Published five academic papers and 3 manuscripts under first revision.
Have you published any research or worked on research/technical projects? Yes
Where has your research been published or where have you conducted research/technical projects? 1. Edmund Fosu Agyemang*, Ezekiel Nii Noye Nortey, Richard Minkah & Kwame Asah-Asante. Baseline Comparative Analysis and Review of Election Forensics: Application to Ghana’s 2012 and 2020 Presidential Elections. Published by the Heliyon Journal in vol. 9, Issue no. 8, E18276, 2023. https://doi.org/10.1016/j.heliyon.2023.e18276. 2. Edmund Fosu Agyemang, Ezekiel Nii Noye Nortey, Richard Minkah & Kwame Asah-Asante. What the Numbers Say: First and Second Digit Based Comparative Tests and its Application to Ghana’s Presidential Elections. Published by the Journal of Model Assisted Statistics and Applications (MASA) in vol. 18, no. 2, pp. 183-192, 2023. http://dx.doi.org/10.3233/mas-221418. 3. Nyarko Eric, Edmund Fosu Agyemang & Dennis Arku. COVIDâ€19 and Online Teaching in Higher Education: A Discrete Choice Experiment. Published by the Journal of Model Assisted Statistics and Applications (MASA) in vol. 18, no. 2, pp. 115-123, 2023. http://dx.doi.org/10.3233/mas-221403. 4. Ezekiel Nii Noye Nortey, Edmund Fosu Agyemang, Richard Minkah & Kwame Asah-Asante. Bayesian Estimation Of Presidential Elections In Ghana: A Validation Approach. Published by the Africa Journal of Applied Statistics (AJAS) in Vol. 9 (1), 2022, pages 1297 – 1317. https://doi.org/10.16929/ajas/2022.1297.269 5. Edmund Fosu Agyemang, Joseph A. Mensah, Eric Ocran, Enock Opoku & Ezekiel Nii Noye Nortey. Time Series Based Road Traffic Accidents Forecasting via SARIMA and Facebook Prophet Model with Potential Changepoints. Accepted for publication in Heliyon Journal with Manuscript ID HELIYON-D-23-25116.
Please describe your research/academic interests:
My primary research interest is in Applied Statistics and its applications. I am of the view that incorporating prior information could improve decision processes. Besides this, I am interested in various statistics fields, including Biostatistics, machine learning, anomaly detection, and discrete choice experiments. Lastly, I am open to applied statistics in any field of study.
Computational and Data Science Areas:
Applied Mathematics; Data Analytics and Visualization; Machine Learning and AI
Research Synergy:
I am deeply passionate about the fields of applied statistics and data sciences due to their transformative potential in addressing complex real-world challenges. These technical areas resonate with me because they provide powerful tools for understanding and harnessing vast amounts of data, driving innovation and sustainability in various industries. I am eager to be a part of a dynamic team pushing the boundaries of science and technology to shape a brighter and more sustainable future.
Motivation:
I am highly motivated to participate in the Sustainable Research Pathways (SRP) Program because I am deeply committed to advancing sustainability and addressing the complex challenges our world faces today. This program represents a unique opportunity for me to bridge my academic knowledge with practical, real-world applications in the field of sustainability. I am passionate about positively impacting the environment and society, and the SRP Program’s focus on sustainable research aligns perfectly with this goal.
Lightning Talk Title: Applied Statistics – From Data to Decisions