About Me
Welcome! I’m an AI researcher and machine learning professional with a passion for using technology to solve real-world problems that matter—especially in healthcare, science, and public service.
Currently, I serve as a Research Fellow (ORISE) at the U.S. Food and Drug Administration (FDA), where I contribute to regulatory efforts by developing AI-driven solutions that support public health and improve the quality of drug products. My work allows me to be at the intersection of technology, research, and healthcare, driving innovation that helps protect and improve lives.
My journey began at Elizabethtown College, where I earned my Bachelor of Science in Computer Engineering. After working as an Application Performance Engineer in New York, I pursued my passion for research and earned a PhD in Computer Science from Old Dominion University, where I focused on developing ETDSuite, a toolkit, comprising of four AI frameworks to improve discoverability, accessibility, and readability of book-length scholarly documents (e.g., Electronic Theses and Dissertations) in the academic digital library repositories.
Throughout my career, I’ve remained committed to impactful work—building AI systems that are not just technically impressive, but truly meaningful. I believe in technology’s power to drive positive change, and I’m excited to continue this mission by exploring new challenges and creating solutions that serve people and communities.
Thanks for stopping by—I invite you to explore my work and connect!
Research Interests: web science, digital libraries, healthcare, applied machine learning, scholarly big data, natural language processing, computer vision.
Research
I was the member of the ODU Web Science and Digital Libraries (WS-DL) Research Group and Lab for Applied Machine Learning and Natural Language Processing Systems (LAMP-SYS).