I am a former postdoctoral researcher specializing in machine learning and deep learning, with a focus on human-centric challenges spanning both academic theory and real-world implementation. I employ probabilistic modeling and Bayesian inference to unravel the complexities of affective signals, integrating multimodal data sources and leveraging advanced statistics for robust emotion analysis. My interests extend to the exploration of algorithmic biases in intelligent systems and the development of adaptive models that generalize effectively across diverse real-world conditions. I am committed to designing AI systems that prioritize human needs, trustworthiness, and transparency, ensuring these technologies consistently enhance human capabilities. Looking forward, my interests lie in applying my expertise toward service initiatives that aim to benefit all of humanity, fostering ethical technology that supports the greater good.