Brian Park
Brian is pursuing his Master of Science in Computer Vision at Carnegie Mellon University and is expected to graduate in December 2025. In 2024, he completed his Bachelor of Science in Computer Science and Engineering from the University of California, Los Angeles. He completed two internships at NVIDIA with the Autonomous Vehicles, Parking Space Perception team. During his undergrad, he was a member of the Structures-Computer Interaction (SCI) Lab, where he was advised by Professors M. Khalid Jawed and Jungseock Joo. His interests include computer vision and deep learning, particularly in medical AI and robot perception.
Yuze Jiang
Yuze is pursuing a Master of Science in Computer Vision at Carnegie Mellon University and is expected to graduate in December 2025. He previously completed a Bachelor of Science in Computer Science at the University of Michigan, Ann Arbor. This summer, he is interning at Tesla with the Quality Engineering Team. His interests lie at the intersection of artificial intelligence and software development, with a focus on computer vision and backend systems.
Prof. Ioannis Gkioulekas
Prof. Gkioulekas is an Assistant Professor in the Robotics Institute at Carnegie Mellon University. He received his PhD from the School of Engineering and Applied Sciences at Harvard University, where his advisor was Todd Zickler. Before that, he received a Diploma (five-year degree) in Electrical and Computer Engineering from the National Technical University of Athens.
His research interest is mainly on computational imaging, which can be broadly described as coming up with systems that combine imaging (optics, sensors, illumination) and computation (physics-based modeling and rendering, inverse algorithms, learning) in innovative, unexpected, and meaningful ways.
Dr. Morgan Ringel
Morgan Ringel is a Senior Algorithm Analytics Engineer at Johnson & Johnson MedTech working on the MONARCH Bronchoscopy platform. She holds a B.S.E and Ph.D. in biomedical engineering, and her areas of expertise include surgical navigation software and developing algorithms for image-guided surgery systems. Her project responsibilities included mentorship and guiding the project direction.
Dr. Saif Sayed
Saif Sayed is a Senior Computer Vision Scientist at Johnson & Johnson Medtech. He holds both a PhD and a Master’s degree in Computer Science from The University of Texas at Arlington. His skillset spans real-time vision tracking, advanced image segmentation, vision-language models, and active learning methodologies. In addition, he brings a strong focus on leadership, mentorship, and cross-functional collaboration.
Dr. Mali Shen
Mali Shen is a Staff Computer Vision Scientist at Johnson & Johnson MedTech working on the MONARCH platform. She holds a BEng in bioengineering, an MSc in computer science, and a PhD in computer vision from Imperial College London. Her expertise is in lung image segmentation and vision-based navigation for interventional bronchoscopy. Her project responsibilities included mentorship and guiding the project direction.
Dr. Hedyeh Rafii-Tari
Hedyeh Rafii-Tari is a senior manager of the Algorithms & AI, Monarch team at Johnson & Johnson MedTech. She has a bachelors and a masters degree from the University of British Columbia, and she has a PhD in Computing from Imperial College London. Her project responsibilities included mentorship and guiding the project direction.