As a Principal Engineer at PathAI, Jun Zhang plays a pivotal role in advancing the intersection of optics, imaging, and artificial intelligence within the realm of digital pathology. With over 20 years of experience, Jun has established himself as a leader in technology innovation, driving...
As a Principal Engineer at PathAI, Jun Zhang plays a pivotal role in advancing the intersection of optics, imaging, and artificial intelligence within the realm of digital pathology. With over 20 years of experience, Jun has established himself as a leader in technology innovation, driving the development of sophisticated imaging systems that enhance diagnostic accuracy and treatment efficacy for critical diseases, particularly cancer. His expertise in illumination design and optical simulation software, including Code V, Zemax, and OSLO, empowers him to create cutting-edge imaging solutions that are integral to PathAI's mission of improving patient outcomes.
Currently, Jun is spearheading key projects that leverage machine learning algorithms to analyze pathology images with unprecedented precision. His work involves the integration of advanced optical techniques and AI methodologies, ensuring that the platform not only meets but exceeds the rigorous standards of medical devices. By utilizing tools such as LightTools and Mathematica, he is able to optimize imaging performance, facilitating the development of AI models that can accurately identify and classify pathological conditions.
Jun's multifaceted skill set, which encompasses laser physics and solid modeling in SolidWorks, allows him to navigate the complexities of product development across diverse industries, from semiconductor technology to healthcare. His commitment to innovation and excellence positions him as a vital contributor to PathAI's vision of transforming pathology through AI, ultimately leading to better diagnostic processes and improved patient care.
