My name is Po-Ya Hsu (許博雅). I am currently a Senior AI Scientist at Claritev. I earned my PhD in Computer Science and Engineering from UC San Diego under the supervision of Professor CK Cheng. After my PhD journey, I worked at Microsoft as an Applied Scientist for one year and Atomo for two years. I am dedicated to building and deploying high-quality models that drive innovation and deliver strategic value for a wide range of research and industry goals.
My expertise lies in developing and deploying high-quality models that drive impactful outcomes across a wide range of research and industry applications. I specialize in extracting actionable insights from complex, real-world data streams. My experience spans from analyzing continuous physiological signals (such as ECG and SCG) and national EHR data, to leveraging commercial data like ads revenue, news trends, and user-intention data. Through this work, I am dedicated to translating these complex data challenges into robust, innovative solutions that deliver strategic value and propel new discoveries. My research fields include:
Performance metric optimization
Interpretable Machine/Deep Learning
Signal Processing
Time-Frequency Analysis
Hyperdimensional Data Analysis and Visualization
Computational Physiology
Collaboration is welcome.
My email: poyahsu@gmail.com