Our members
SOHN LAB's goal is very clear that I would like to uplift your career and help you be successful in achieving your future dream – by publishing papers, submitting scholarships, and presenting your research projects at conferences.Principle Investigator

James J. Sohn, PhD
Assistant Professor
Dr. Jooyoung (James) Sohn is an Assistant Professor and Medical Physicist in the Department of Radiation & Cellular Oncology at the University of Chicago. He teaches Interactions of Radiation with Matter (MPHY350), Health Physics (MPHY397), and Practicum in Radiation Therapy (MPHY344) and serves as a committee member of the Graduate Program in Medical Physics (GPMP). Prior to joining the University of Chicago, Dr. Sohn worked as an Assistant Professor at Northwestern University, focusing on MR-guided Radiation Therapy (MRgRT) and brachytherapy. His research interests include brachytherapy and hardware & software developments in various areas of radiation therapy. Additionally, Dr. Sohn oversees Oncosoft, an AI-driven auto-contouring company.
If you are interested in collaborating or joining SOHN LAB, please contact him via email at jooyoung.sohn@bsd.uchicago.edu.
Research Associates

Ethan Stolen
Graduate Student
Ethan Stolen is a PhD student in medical physics at the University of Chicago. His PhD research involves finding new ways to improve the accuracy of proton and heavy ion therapy through advances in proton radiography and machine learning. Ethan joined Dr. Sohn’s lab after completing his degree in Physics and Mathematics, including an applied physics specialization in medical physics after completing additional courses in anatomy and nuclear engineering. Ethan previously worked as a research intern in medical physics at Mayo Clinic in Arizona. He enjoys the collaborative environment of SOHN lab and working with other students on research projects. His presence in our lab elevates the entire research environment, pushing the boundaries of what we thought possible in medical physics. Ethan embodies the spirit of innovation and excellence that defines our lab. His presence not only elevates our research capabilities but also inspires everyone around him to reach for new heights in their own work.

Siddhant Sen
Research intern
Sid is an undergraduate student at UIUC, majoring in Brain and Cognitive Science. Sid has been working at SOHN LAB from 2023.

Lulu Allie
Research intern
Lulu is an exceptional undergraduate student at Washington University in St. Louis, majoring in Biochemistry. Her academic excellence has been recognized with a prestigious 4-year full scholarship for her bachelor’s degree program. She is a two-time winner of the University of Chicago Comprehensive Cancer Center (UCCCC) DICR Cancer Researcher Award. Lulu’s focus in SOHN LAB is ablative stereotactic body radiation therapy (SBRT) using MR-Linac, specifically targeting pancreatic cancer with the aim of improving survival rates. Lulu’s work exemplifies our lab’s commitment to pushing the boundaries of radiation therapy and making significant strides in cancer treatment outcomes.

Caleb Song
Graduate Student
Caleb Song is a rising senior at Adlai E. Stevenson High School. His research with Dr. Sohn explores different facets of radiation oncology, such as new technologies and psychology associated with radiation therapy. His interests lie within the fields of public health and data science. Joining SOHN LAB in the summer of 2023, Caleb is grateful for the productive nature Sohn and the rest of the interns have fostered in the lab.

Haram Kim
Resident
Haram (Ryan) Kim is currently a second-year resident at Varian. He graduated UPenn majoring in medical physics.

Derrick Lee
Research Intern
Derrick is a stellar high school student at Adlai E. Stevenson High School. He is working on Dupuytren’s contracture – creating a customized/personalized mold using a 3D scanner/printer. This work is proactively collaborating with UIC Design School.

Sang Kyun Yoo
Research intern
Sang Kyun Yoo is a PhD candidate in medical physics at Yonsei University College of Medicine. His PhD research involves finding new ways to improve the accuracy of predictive models for radiotherapy-induced outcomes through advances in machine learning and deep learning. Sang Kyun joined Dr. Kim (Jin Sung Kim)’s lab (MPBEL) after completing his degree in Biomedical Engineering. Sang Kyun enjoys the collaborative environment of MPBEL and working on research projects (research on machine learning-powered tool for patient specific QA in proton therapy) with Dr. Sohn’s lab.

Helen Qian
Research Intern
Helen is an outstanding intern in our lab, currently pursuing her undergraduate degree at Cornell University. Her presence in our team showcases our commitment to nurturing young talent in the field of medical physics. Helen’s work in our lab centers on an important aspect of patient care in advanced radiation therapy, optimizing patient wait times for carbon-ion therapy facilities. This research aims to improve the efficiency and patient experience in cutting-edge cancer treatment centers. Her project demonstrates the lab’s interest in not only advancing treatment technologies but also enhancing the overall patient care process in radiation oncology. Helen’s innovative approach to this logistical challenge highlights the diverse range of projects undertaken in our lab, from clinical physics to operational optimization in advanced therapy facilities.
Collaborators

Jin Sung Kim, PhD
Director in Physics at Yonsei University College of Medicine
Dr. Kim is an Associate Professor at Yonsei University College of Medicine and serves as Physics Director. He led the establishment of Korea’s first carbon-ion therapy facility, marking a significant advancement in cancer treatment technology in the country. Dr. Kim is also the founder and chairman of Oncosoft, a company developing AI-driven auto-contouring and other software solutions widely used in radiation oncology field. His work bridges academic research and practical applications, contributing to improved workflows and treatment planning in healthcare facilities. As a key member of our research team, Dr. Kim’s expertise in deep learning and image reconstruction, and his innovative approach to technology continue to drive advancements in radiation therapy and patient care.