Masha Bondarenko earned her Bachelor of Science in Electrical Engineering and Computer Science from the University of California, Berkeley, where she developed a strong foundation in machine learning, mathematical modeling, and systems engineering. She is passionate about integrating computational methods with clinical practice to advance personalized healthcare, with a focus on imaging and clinical data for cancer screening and diagnostics.

Jaewon Jung is a 4th year medical student at Yonsei University in Korea, with a strong academic interest in the intersection of medical imaging and artificial intelligence. Her research focuses on developing novel AI-assisted imaging biomarkers to enhance diagnostic accuracy and support individualized patient care. Through active collaborations with researchers at UCSF and Yonsei, she seeks to build clinically meaningful AI tools that improve workflow efficiency and ultimately advance patient outcomes.

Dr. Ali Nowroozi, MD graduated from Tehran University of Medical Sciences, Iran, in 2024, and has a long-standing background in programming and informatics. His current research focuses on advancing AI in radiology, including using AI to solve real world challenges as well as facilitating AI adoption into practice.

Gabriel F. Pérez Pagán is a second-year medical student at Universidad Central del Caribe in Puerto Rico. He completed his undergraduate studies at the University of Puerto Rico. Gabriel has a strong passion for radiology and medicine, and is currently conducting research at UCSF focused on interstitial lung disease (ILD), specifically interstitial lung abnormalities (ILA) and the clinical delays between their radiographic detection and subsequent diagnosis or management.

 is a dedicated thoracic surgeon specializing in minimally invasive approaches to treat lung cancer, esophageal cancer, and mediastinal tumors. With advanced training in video-assisted thoracoscopic surgery (VATS) and robotic-assisted techniques, he performs complex oncologic resections with precision and efficiency. His clinical practice emphasizes a multidisciplinary approach to advanced-stage thoracic malignancies, integrating surgery with chemotherapy, radiation, and emerging systemic therapies to optimize patient outcomes. 

Koharu Sakiyama is a rising senior at UC Berkeley studying Molecular & Cell Biology and minoring in Data Science. Her research interests lie in exploring the application of machine learning in medical settings to improve clinical workflow and personalized medicine. In the Sohn Lab, she is currently working on developing a large language model based framework to improve radiological communication by answering patient queries. Following her undergraduate studies, Koharu hopes to pursue a PhD in computational medicine or related field.

Tician Schnitzler, MD is a postdoctoral research fellow at the University of California, San Francisco (UCSF) and an assistant physician in radiology at the Cantonal Hospital Aarau in Switzerland. Dr. Schnitzler’s work focuses on artificial intelligence in thoracic imaging, particularly on the development of clinical and imaging biomarkers for early lung cancer detection in interstitial lung disease (ILD), prediction of interstitial lung abnormality (ILA) progression to idiopathic pulmonary fibrosis (IPF), and clustering of IPF phenotypes to improve outcome prediction.

Brandon Schonour is a 4th year medical student at the University of South Alabama in Mobile, Alabama, with a research interest in image quality optimization. His current research work focuses on identifying predictors of image degradation in respiratory-triggered pulmonary MRI at 0.55T, with the goal of improving diagnostic reliability in low-field imaging. Through this research, he aims to advance the clinical utility of low-field MRI overall.

Juan Serna, BS is a 4th-year medical student at the University of California, San Francisco. He has previously done research in hip and shoulder arthroscopy, and is currently doing research on LLM applications to Lung Cancer CT Screening reports. He is planning to apply to Radiology residency for the 2026 Match.

Dr. Hong Yu, MD, PhD, is Associate Professor of Radiology, Vice Dean of the School of Medical Imaging, and Deputy Director of the Department of Radiology at the Affiliated Hospital of Zunyi Medical University in China. A cardiovascular radiologist with expertise in cardiac magnetic resonance imaging (CMR), his current research focuses on advanced CMR techniques and their clinical applications in ischemic heart disease.