My name is Titilayo Lawal, and I hold a BSc in Biochemistry. I am currently pursuing an MSc in Global Public Health with a specialization in Data Science. My interests lie at the intersection of healthcare and data science, where I aim to leverage data-driven insights to improve public health outcomes. I am deeply committed to understanding the causes, consequences, prevention, and treatment of diseases, with a focus on addressing public health issues especially in underrepresented communities globally.
My expertise in data analysis tools such as Python, R, and SQL, combined with experience in machine learning, statistical modeling, and data visualization, equips me to tackle complex health challenges. I am currently working on a project using a data-driven approach for cervical cancer diagnosis. My professional interests include precision medicine, health data analytics, and predictive modeling to uncover disease patterns, inform health policy, and develop innovative treatments.
During my internship with UCL Great Ormond Street Institute of Child Health, I look forward to applying my skills in a collaborative setting, gaining hands-on experience,
enhancing my problem-solving abilities, and contributing to impactful projects that drive improvements in global health outcomes and equitable healthcare solutions.
