Ekaterina Golovkina or Kate is a graduate student in Health Informatics at DePaul, with a background in Health Science/Health Education and Promotion. Her current research focuses on integrating motion capture (Vicon), inertial measurement units (IMUs), and portable ultrasound (POCUS) systems to develop synchronized data acquisition pipelines. She works on collecting, aligning, and analyzing multimodal sensor data to support research in applying SLAM movement tracking and clinical applications. Her interests include applied machine learning, digital health technologies, robotics, bioengineering and the use of AI to enhance data based decision making in healthcare. 

Abdul Azeez is a Graduate Research Assistant in the lab and an M.S. Health Information Technology candidate at DePaul University’s Jarvis College of Computing and Digital Media. With a clinical background as a licensed dentist, Abdul brings a distinctive perspective to health technology research — one that bridges patient-facing care and data-driven systems.

His interests go beyond innovation for its own sake. Abdul is passionate about taking research ideas all the way — from conception and development through to market deployment, growth strategy, and real-world impact. He sees health IT not just as a technical discipline, but as one that demands consulting acumen, strategic thinking, and an understanding of how solutions actually reach the people who need them.

In the lab, Abdul contributes to research on physiological state estimation for pulmonary rehabilitation, with a focus on COPD monitoring using mobile sensors and machine learning. 

Intelligent Systems Engineering undergraduate student with hands-on experience and published research in embedded systems, PCB design, and custom electronics: passionate about building hardware that bridges physical and digital.

An undergraduate junior data science student at DePaul, I am interested in the overlap between machine learning, analytics, and applied mathematics. In this project, I am contributing to data capture and synchronization pipelines and supporting the technical setup of study equipment. This project is my first experience with healthcare-related research, which captured my interest as I aim to apply data science to issues with direct human impact.