Medical Doctor
No Affiliation
Brandywine, Maryland, United States
Dr. Ladonna Boasiako is a dedicated and multifaceted medical professional passionate about improving individual and public health outcomes through clinical practice, epidemiological research, and data science. With over a decade of experience in the medical field, Dr. Boasiako seamlessly integrates a diverse skill set to address complex health challenges. She is noted for her empathetic approach, meticulous attention to detail, and unwavering commitment to patient care.
Recognizing the broader determinants of health, Dr. Boasiako pursued a Master of Public Health (MPH) with a concentration in epidemiology. She has collaborated with both state and federal agencies to develop and implement effective strategies for disease prevention and control. Her primary focus and interests lie in pediatric infection control and prevention.
In an era where data drives decision-making, Dr. Boasiako further honed her skills by becoming a data scientist. She specializes in leveraging big data and advanced analytics to uncover insights and trends in healthcare. Dr. Boasiako has helped develop predictive models and data-driven solutions to optimize healthcare delivery, improve patient outcomes, and enhance operational efficiency. Her expertise in statistical analysis and data visualization has played an instrumental role inhelping plan various healthcare projects, from predicting disease outbreaks to personalizing patient care plans.
Beyond her professional life, Dr. Boasiako is the wife of a US Army veteran and mother to a beautiful 2-year-old girl. She enjoys gardening and finds nurturing plants to be both relaxing and rewarding. Spending time in the garden allows her to connect with nature and enjoy the process of growth and cultivation. She takes great satisfaction in growing her own food and plants, which provides a sense of accomplishment and a deeper appreciation for the natural world.
Disclosure(s): No financial relationships to disclose
Friday, October 18, 2024
2:09 PM – 2:21 PM US PT