Jason He
About Jason He
Jason He is a Machine Learning Engineer with extensive experience in medical technology and AI model validation. He has worked at notable institutions such as Stanford University and Apple, and currently contributes to Vista.ai, focusing on low-cost health applications.
Work at Vista.ai
Jason He has been employed at Vista.ai as a Machine Learning Engineer since 2019. In this role, he focuses on developing advanced machine learning algorithms and models to enhance medical imaging technology. His work contributes to the company's mission of improving healthcare outcomes through innovative AI solutions.
Education and Expertise
Jason He holds a Master of Science in Electrical Engineering from Stanford University, where he studied from 2017 to 2019. He also earned a Bachelor of Science with Honors in Electrical Engineering from The University of Texas at Austin, completing his studies from 2014 to 2017. Additionally, he studied at the University of North Texas and attended the Texas Academy of Mathematics and Science, achieving a High School Diploma with Honors. His educational background equips him with a strong foundation in engineering and machine learning.
Background
Jason He has a diverse background in engineering and machine learning, having worked in various roles across multiple organizations. His experience includes serving as a Graduate Research Assistant at Stanford University, where he contributed to projects involving AI model validation for FDA clearance. He has also held internships at notable companies such as Apple and GE Energy Connections, where he gained practical skills in hardware and electrical engineering.
Achievements
Jason He played a significant role in the development of the world's first self-driving MRI machine by implementing advanced convolutional neural networks and transformers. He has also published research on MRI technology and real-time imaging, and co-authored a paper titled 'One-Click Spine MRI,' which was presented at the Medical Imaging Meets NeurIPS Workshop at NeurIPS 2019. His contributions reflect his commitment to advancing medical technology and improving health applications.
Internship Experience
Throughout his career, Jason He has gained valuable internship experience in various engineering roles. He interned at Texas Instruments as an Applications Engineering Intern in 2015 and at GE Energy Connections as an Electrical Engineering Intern in 2016. Additionally, he worked as an Engineering Intern at InSilixa in 2017 and as an iPad Hardware Intern at Apple in 2018. These internships provided him with hands-on experience in engineering and technology.