Name: Elizabeth Amankwah
Pronouns:
Institution: University of Merced California
Department: Applied Mathematics
Biography:
I embarked on my statistical journey at Kwame Nkrumah University of Science and Technology (KNUST), graduating in 2022. Initially, my enthusiasm for the subject was modest. However, a transformative moment occurred during my internship at Ghana’s Bono Regional Hospital. Immersed in the hospital’s records department, I discovered the immense potential of data in unraveling complex health challenges. This revelation sparked my exploration of analytical tools like R, Python, and MATLAB.
Motivated by this newfound passion, I conducted undergraduate research on neonatal mortality in Ghana’s Ashanti Region. I presented my findings at the SIAM conference in 2023 and published them in the SIAM journal. My aspiration is to advance my expertise in Data Science and Biostatistics through graduate studies.
Currently, I have began my graduate studies at UC Merced, an ideal platform for academic growth. Over the next five years, I plan to apply my data science skills to optimize healthcare data management in developing nations.
In summary, my academic journey at KNUST laid the foundation, and my internship ignited my passion for data-driven solutions in healthcare. Now, as I embark on my graduate studies, I am determined to make meaningful contributions to addressing healthcare challenges in developing nations.
Academic Status: PhD Student
Year in program: 1st
Research Area/Department: Applied Mathematics
Other, specify:
Major/Specialty: Applied Mathematics
Degrees Earned or in Progress: BSc Statistics/ Statistics/ 2022 PhD Applied Mathematics/ Applied Mathematics/ in progress
What courses or academic preparation have you completed to prepare for a summer internship experience?
Computing for Mathematics I Computing for Mathematics Statistics for Computing Data Analysis I Statistics for Computing Data Analysis II Numerical Methods Biostatistics
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 journey has been deeply rooted in the field of biostatistics, with a primary focus on its potential to drive socioeconomic development. I firmly believe that harnessing health-related data can play a pivotal role in shaping effective development strategies. To formulate the most appropriate systems for collecting and processing such data, I have drawn inspiration from successful models employed in both developed and developing nations. My practical experience began when I served as an intern at a regional hospital, where I gained firsthand exposure to health data and its profound implications. Working in the hospital’s records department, I developed a keen appreciation for the critical role that health data plays in shaping sound socioeconomic policies. It is widely acknowledged that the state of a population’s health is a reflection of its level of socioeconomic development. Therefore, any inaccuracies or deficiencies in health data can jeopardize the effectiveness of policies formulated based on such information. Unfortunately, this is a challenge faced by the region where I completed my internship. Driven by this conviction, I embarked on undergraduate research focused on identifying predictive factors contributing to neonatal mortality in the Ashanti Region. My dedication to this research interest led me to undertake a national service program in my home country, Ghana, at the Department of Epidemiology and Biostatistics. During this period, I served as a teaching and research assistant, which exposed me to essential tools and methodologies. Working closely with my professor, who is currently researching the postpartum period and family planning, further shaped my research focus. This academic journey has culminated in my enrollment as a first-year Applied Mathematics student at UC Merced. Here, I have chosen to be part of the Data Science and Scientific Computing cohort within the Applied Mathematics department. I believe that this program provides an excellent platform for me to advance my research pursuits, build research capacity, and contribute meaningfully to the field. Joining the SRP program is a vital step in my academic and research path. It will provide me with invaluable opportunities to collaborate with DOE Lab staff and expose me to a wealth of ideas and research projects. I am excited about the prospect of working alongside experts in computational, AI/machine learning, and data sciences, as these areas align perfectly with my research interests. In summary, my passion for biostatistics and data sciences, driven by the potential for socioeconomic development, has been a constant driving force in my academic and professional journey. I am eager to focus my research efforts and expand my knowledge through graduate training, and I am excited to be part of UC Merced’s academic community while also looking forward to the rich experiences the SRP program will offer.
Computational and Data Science Areas:
Applied Mathematics; Computational Science Applications, i.e., Bioscience, Cosmology, Chemistry, Environmental Science, Nanotechnology, Climate, etc.; Data Analytics and Visualization; Machine Learning and AI
Research Synergy:
Certainly, I can integrate your personal motivation and research interests into the response. Here’s a revised version that reflects your unique perspective and ties it back to your motivation and research interests: My profound interest in computational, AI/machine learning, and data sciences research has evolved from a deep-rooted passion for leveraging data-driven solutions to address pressing societal and environmental challenges- passion that aligns seamlessly with my motivation and research pursuits.
My journey into these technical areas began during my undergraduate studies, where I discovered the transformative potential of statistics in unraveling complex health challenges and informing effective policies. I recognized that data, when harnessed effectively, could be a powerful tool for driving socioeconomic development. This realization ignited a fire within me, inspiring my pursuit of research opportunities that could further harness the capabilities of computational methods, AI/machine learning, and data sciences.
In the context of the Department of Energy (DOE) labs, I see a perfect synergy between my research interests and the DOE’s mission. The labs’ focus on modeling complex systems, optimizing energy technologies, addressing environmental concerns, and ensuring national security resonates deeply with my aspirations. I envision these technical areas as essential tools for enhancing our understanding of energy systems, predicting environmental trends, and safeguarding critical infrastructure.
For instance, my research interest in neonatal mortality and health challenges in Ghana has provided me with valuable experience in handling complex datasets and developing predictive models. I believe that these skills can be directly applied to DOE lab research, such as modeling energy systems, analyzing environmental data, or optimizing nuclear reactor designs. The ability of AI/machine learning algorithms to autonomously learn from data aligns perfectly with the labs’ needs for predictive analytics and anomaly detection in various domains.
Furthermore, my fascination with data sciences is deeply rooted in my belief that effective data collection, management, and analysis are fundamental to any research endeavor. The DOE labs rely heavily on vast datasets from experiments, simulations, and sensors. My expertise in data sciences positions me to contribute by ensuring the efficient handling and meaningful interpretation of this invaluable information.
Overall, my motivation to engage in computational, AI/machine learning, and data sciences research at the DOE labs is driven by a strong desire to make a tangible impact on a global scale. I am inspired to collaborate with top scientists, work on supercomputers, and explore unparalleled possibilities. I firmly believe that these technical areas, combined with my research background, will allow me to contribute meaningfully to the DOE’s mission and advance research efforts that address critical societal and environmental challenges. Together, we can unlock new insights, develop innovative solutions, and pave the way for a brighter, more sustainable future.
Motivation:
Growing up in a family where science, technology, and mathematics were more than academic pursuits – they were a way of life – I was destined to find my own unique path within these realms. My journey began with modest curiosity during my early years in the Kwame Nkrumah University of Science and Technology (KNUST), Ghana, where my eldest uncle, a retired professor of Nuclear Physics, and my father, a lecturer in Agricultural Engineering, had carved their own distinguished paths. My intrigue for science, mathematics, and technology took shape during my Senior High School years, guided by these role models. However, my aspirations weren’t bound to mimic their careers; my interests would forge a distinctive course.
As I explored various possibilities, the realm of healthcare beckoned in a way that transcended the traditional clinical roles. Unlike my uncle, a medical doctor, I felt more inclined towards making an impact behind the scenes, away from the doctor’s consulting room, and definitely far from the prospect of surgery or blood. Intriguingly, my childhood interests in food, catering, and nutrition remained strong, though they existed primarily as hobbies.
The suggestion to pursue a program in Statistics as an undergraduate student at KNUST came as a welcome revelation. Observing how my two siblings, who had studied mathematics and statistics, consistently contributed meaningfully to discussions on strategies for national socioeconomic development, I realized the potential of this field. Such discussions, often held within the youth group of my church, served as fertile ground for the germination of my academic passions.
My undergraduate studies in Statistics began in a mechanical way, but as I delved deeper, I found myself drawn to the definition that described statistics as the scientific method of collecting, organizing, summarizing, presenting, and analyzing data. The mechanics of statistics and the application of computational tools to process datasets during my coursework became increasingly fulfilling. This journey granted me valuable skills and knowledge, enabling me to design studies and engage in investigations that promised real-world solutions across various facets of community life. These experiences were instrumental in nurturing my growing interest in statistics.
However, the turning point in my appreciation of statistics arrived with my internship at the Bono Regional Hospital after completing my third year of undergraduate studies. My role in the Patients Records and Statistics Department exposed me to an array of opportunities within the healthcare sector. As I grappled with high volumes of health data, the potential for statistics to make a tangible impact in addressing health challenges became evident.
Beyond the mere numbers, I became passionate about transforming this data into actionable insights. It was at this juncture that the statistics I had learned so far in my undergraduate journey took on a new significance. My internship revealed that addressing health issues in our region required more than just undergraduate training. Comprehensive analysis, accounting for factors such as age, sex, and place of residence, became essential to understanding health demographics and dynamics within the Bono Region. My thoughts naturally extended to exploring correlations between health data and other regional factors, possibly shedding light on the root causes of health challenges and their economic implications. I also identified potential areas for improvement in data capture systems to enrich the hospital’s database.
The conviction that deeper studies in statistics were essential only solidified after my undergraduate research project, where I delved into a study of factors affecting health challenges in the Ashanti Region. Titled “”Modelling the Factors of Neonatal Mortality in Ashanti Region,”” this project allowed me to apply statistical methodologies to real-world health challenges. I am eager to share my findings at the Society for Industrial and Applied Mathematics (SIAM) Conference in Amsterdam in February 2023.
My dedication to pursuing advanced studies in statistics has been reinforced during my National Service at the Biostatistics and Epidemiology Department of KNUST, Ghana. Here, I have encountered a significant knowledge gap in statistical analysis among healthcare professionals pursuing postgraduate programs. My responsibilities include providing tutorial sessions in statistical analysis, facilitating interactions between health personnel and faculty, and assisting in research projects. Beyond academia, discussions with colleagues across various industries have highlighted data-related challenges. These challenges, ranging from limited access to relevant information to deficiencies in data collection and processing, underscore the need for specialized skills in data optimization, system refinement, and the development of advanced statistical tools.
In a developing country like Ghana, practical experience in STEM fields is often limited due to restricted access to technology. It takes motivated students and innovative educators to produce graduates with the practical experience required by global standards. My passion lies in data and information processing, and I am confident that my interactions and exposure at the SHI SRP will not only equip me with practical skills but also enable me to inspire students to overcome technological barriers in education.
Currently, I am pursuing my studies in Applied Mathematics at the University of California, where I see a platform to further my research path. The University of California, with its diverse and dynamic academic environment, aligns perfectly with my aspirations for research and innovation. I firmly believe that this institution, along with the opportunities at the SHI SRP if granted the chance to intern in the lab , will expand my horizons, allowing me to collaborate with top scientists and engage in cutting-edge research.
I anticipate that the SHI SRP will be an invaluable opportunity for me to further explore my research passions, work with state-of-the-art technologies, and contribute to the ongoing efforts to address pressing challenges. The unparalleled possibilities offered through the SRP align perfectly with my aspirations and commitment to advancing statistical research and its applications in healthcare and beyond.
As I look ahead, I see a future where I work across various industries to design and maintain data collection and accumulation systems, enhancing efficient and effective data analysis for well-informed management decisions and policies. Ultimately, my goal is to give back the knowledge I have gained by teaching at Ghanaian universities, nurturing future mathematicians, statisticians, and data scientists. I am excited about the journey that lies ahead and the role that the SHI SRP will play in shaping my research path and my contributions to addressing the data-driven challenges of our world.
Lightning Talk Title: Unlocking Neonatal Mortality Predictors in Ashanti Region, Ghana: A Logistic Regression Insight.