Jun S. is a Principal Ultrasound Engineer at United Imaging - North America. Colleagues describe them as "I worked with Jun at a startup for about a year and a half. He was responsible for the ultrasound signal path for a new intra-cardiac catheter based system to be used in conjunction with pulsed field ablation to treat atrial fibrillation. He demonstrated strong proficiency in beam forming, signal and image processing, simulations and analysis. Jun is very engaged, naturally curious, and asks great questions; he has solid communication skills and is a pleasure to work with. He is willing to work outside his comfort zone and tackle challenging assignments. My impression was that all his coworkers liked and respected him. I think he would be a valuable asset for any tech focused organization.", "Jun mixes exceptional creativity with outstanding tenacity. It results in innovation that works. At Philips, he is behind several iterations and flavors of TissueBoost (adaptive beamforming for clutter rejection and image equalization), high-SNR adaptive imaging, AI for beamforming, and other image enhancement techniques from beamforming to image processing, applied to different platforms from IVUS to premium. Jun is patient and likes to understand things fully, articulates thoughts and ideas clearly which makes for seamless collaboration within the group and across groups, and is an excellent presenter. He is also, simply put, a very nice person and anyone working with him will be lucky.", and "Jun and I worked together at Philips Research North America close to eight years. Jun always impressed me with his creativity and ingenuity. When he came up with a new idea regarding ultrasound beamforming or signal processing he would quickly build a prototype of his idea to demonstrate others. This demonstrator would also help him stake intellectual property claims for his idea. During his tenure in Philips Research, in addition to classical algorithm development Jun also spear headed efforts to use deep learning methods for ultrasound beamforming and image processing. His extensive domain knowledge in ultrasound imaging provided him a clear intuition which was essential in developing effective deep learning models and training them efficiently. Furthermore Jun conveys his thoughts and ideas in a clear manner both verbally and in writing. He is a good team player and very personable. Jun will be a most valuable asset to any organization operating in the domain of ultrasound imaging."