PyOhio 2026
I am a PhD candidate in Biomedical and Health Informatics at Case Western Reserve University, focusing on explainable and reliable AI for healthcare. My research centers on building machine learning systems for clinical decision support, with an emphasis on interpretability, uncertainty estimation, and real-world deployment challenges.
I have authored multiple peer-reviewed publications in areas including medical imaging, cardiovascular risk prediction, and explainable machine learning, with work presented at venues such as IEEE and AMIA. My recent projects explore how model reliability and calibration impact clinical decision-making in real-world settings.
I have also developed several applied AI systems using Python frameworks such as scikit-learn, TensorFlow, and Flask, translating research into deployable tools for healthcare applications.