About Me
Hi! Iām Joy. I hold a PhD in Biomedical Informatics from the University of Pittsburgh School of Medicine. Previously, I worked as a full-time Software Engineer in the telecommunication and defense sector. My research focuses on the intersection of data science and software engineering, particularly within clinical applications. I am passionate about applying a systems-based approach to medicine and developing novel methods for computer-aided detection and predictive modeling.
In my doctoral research, I leveraged machine learning, graph theory, and neuroimaging datasets to build explainable models that enhance our understanding of neurodevelopment. These models are designed to enable intuitive inferences for clinical cases, offering insights for both typical and atypical patient populations. Moving forward, I am committed to advancing data-driven approaches to address complex biomedical challenges.
Education
š PhD in Biomedical Informatics, 2020-2024, University of Pittsburgh School of Medicine
š BS in Bioinformatics and Computational Biology, 2015-2019, University of Maryland Baltimore County
š BA in Mathematics, 2015-2019, University of Maryland Baltimore County
News
- [12/2024] Joy defended his doctoral thesis!
- [06/2024] My abstract was accepted to present my work on brain network analyses at Flux 2024!
- [06/2024] Joy was invited by the Pittsburgh MR Physicists to present his research for their monthly seminar!
- [08/2023] Joy won 2nd place for Best Paper Award from the Department of Biomedical Informatics at Pitt!
- [06/2023] Joy won the Bronze Medal Award for his presentation at the NLMT15 Training Conference held in Stanford!