Danissa Rodriguez, PhD

I am a dedicated Computer Scientist with a robust academic journey highlighting my dedication to advancing research and innovation. My research brings together computer science and healthcare to design digital health tools that improve chronic disease care. I use artificial intelligence, natural language technologies, and software engineering methods to create interventions that integrate seamlessly into everyday clinical practice. My goal is to make digital health solutions both effective and usable across diverse populations.

My academic journey reflects a deep commitment to innovation. In 2014, I received a Fulbright Scholarship to pursue graduate studies in the United States. At Louisiana State University, I earned my master’s and PhD in computer science, where I focused on requirements engineering and applied machine learning and optimization to improve software development quality. While I hold a strong engineering background, healthcare has always been one of my passions.

After completing my PhD, I joined NYU Grossman School of Medicine as a postdoctoral fellow in the Department of Population Health, where I began applying computer science to clinical challenges. I have since become an assistant professor, leading projects in digital and virtual health that leverage tools such as messaging systems, remote patient monitoring platforms, and large language models. My work emphasizes user-centered design, data integration, and agile research methodologies to enhance patient-provider communication, support medication adherence, and streamline clinical workflows.

My long-term goal is to design, test, and scale digital health interventions that are equitable, sustainable, and grounded in clinical evidence. I aim to advance the use of artificial intelligence and digital platforms in disease prevention and chronic disease management, ensuring that innovations in health technology are accessible to all patients.