Mentor: Dr. Neset Hikmet

I received my Masters of Science in Data Science from Northeastern University. I have previously conducted research related to science, technology, and health, using data science, data analytics, and machine learning. I have further interests in machine learning and deep learning, using these tools to advance technology and healthcare.

Mentor: TBA

I am a Master of Science in Data Science student at Ball State University. My nursing experience, particularly during the COVID-19 pandemic, inspired my transition into clinical research. My academic interests include AI-driven predictive analytics for infectious disease prevention, genetic research, and developing ethical, human-centered AI solutions in healthcare. Through the T35 big data health scholar program, I aim to enhance my research skills and contribute to innovations in healthcare and public health policies.

Mentor: Dr. Swann Adams

I am a graduate student pursuing a master’s degree in Data Science at the University of West Florida. I have always been passionate about data science and its applications, particularly in using statistical approaches to address healthcare challenges. My interests include machine learning and AI to drive data-driven solutions that improve public health outcomes.

Mentor: Dr. John Brooks

I am a PhD student in the Department of Health Sciences at the University of South Dakota. My research focuses on using systems biology to better understand cardiovascular repair and regeneration, with a focus on the role of stem cells. I hold a BS in Professional Biology from the University of North Alabama and an MS in Human Biology from the University of Saint Joseph in Connecticut. Through my doctoral work, I aim to support advances in regenerative medicine by studying how stem cells can help repair the cardiovascular system. As part of the T35 Big Data Health Scholar Program, I plan to strengthen my research skills, begin developing a model, and explore how cardiovascular risk factors might influence treatment decisions in orthopedic surgery. I am particularly interested in investigating why patients with similar orthopedic conditions sometimes receive different treatments in clinical practice.

Mentor: TBA

Songia (Saun-jee) is a master’s student at the University of North Carolina at Charlotte, majoring in Health Informatics and Analytics with a concentration in health outcomes. She has a strong interest in clinical informatics and is particularly passionate about studying infectious diseases and pandemic data. She aims to leverage data science and healthcare technology to enhance patient care and health outcomes. She aspires to pursue a career as a clinical informaticist, ultimately working toward the role of Chief Medical Officer.

She chose this field because of its potential to transform healthcare by improving efficiency, accelerating medical advancements, and integrating technology to enhance patient outcomes. Through the combination of data-driven insights and medical expertise, she is committed to improving healthcare delivery and helping patients lead healthier, happier lives.