Gun is interested in why humans are depressed and by why depressed people, including himself sometimes, keep choosing the decisions that make themselves worse in certain conditions.
To pursue his interest, he predicted suicide behavior in children using fMRI, sMRI, DTI, and psychological test data through Adolescent Brain Cognitive Development (ABCD) data. Suicide could be seen as the most extreme form of depression, and it could be seen what characteristics of the brain affect children's suicidal behavior. After this experience, he began to believe some experience in a hospital is crucial to understand how the data is collected and seeing how some research can increase the quality of the life for patients directly.
Next, he developed ML software that can show the progress of Osteoarthritis with knee X-ray images at SNU Hospital, so doctors can get some help in making decisions for surgery. He developed another software that can convert non-contrast CT images into contrast CT images using GAN, specifically for the usage of a kidney cancer diagnosis, so that patients do not need to use contrast agents which can cause various side effects. Working directly with doctors, he could see what research doctors and patients really needed. Explainability was crucial rather than increased performance, and it was important to develop a product that could actually reduce the doctor's load or improve the patient's quality of life.
However, based on the belief that only a systematic understanding of the underlying disease can overcome the disease fundamentally, he has returned to the fundamental study of depression- related neuroscience, which originally harbors his greatest curiosity.
Therefore, in Graybiel lab, he is trying to understand how neuronal activity inside the striatum changes when mice make the decision to break a habit that does not give good for them anymore by observing calcium imaging data with aligned behavioral data.
Outside of his research, he has written three books and runs a scholarship foundation that grants scholarships to future engineers using royalties from books.
If you want to know more about his experience, see his CV
To pursue his interest, he predicted suicide behavior in children using fMRI, sMRI, DTI, and psychological test data through Adolescent Brain Cognitive Development (ABCD) data. Suicide could be seen as the most extreme form of depression, and it could be seen what characteristics of the brain affect children's suicidal behavior. After this experience, he began to believe some experience in a hospital is crucial to understand how the data is collected and seeing how some research can increase the quality of the life for patients directly.
Next, he developed ML software that can show the progress of Osteoarthritis with knee X-ray images at SNU Hospital, so doctors can get some help in making decisions for surgery. He developed another software that can convert non-contrast CT images into contrast CT images using GAN, specifically for the usage of a kidney cancer diagnosis, so that patients do not need to use contrast agents which can cause various side effects. Working directly with doctors, he could see what research doctors and patients really needed. Explainability was crucial rather than increased performance, and it was important to develop a product that could actually reduce the doctor's load or improve the patient's quality of life.
However, based on the belief that only a systematic understanding of the underlying disease can overcome the disease fundamentally, he has returned to the fundamental study of depression- related neuroscience, which originally harbors his greatest curiosity.
Therefore, in Graybiel lab, he is trying to understand how neuronal activity inside the striatum changes when mice make the decision to break a habit that does not give good for them anymore by observing calcium imaging data with aligned behavioral data.
Outside of his research, he has written three books and runs a scholarship foundation that grants scholarships to future engineers using royalties from books.
If you want to know more about his experience, see his CV