My name is Karl L. Sangwon. I’m currently a Medical Student at NYU Grossman School of Medicine, who has interest in Artificial Intelligence research and entrepreneurship. My main interest lies in augmenting modern Art of Medicine using advanced technologies, to create a more 21-century-like ‘cyberpunk’ medical paradigm that fits my vision. It is my passionate vision to expand, represent, and clinically re-define our traditional definitions as well as approaches toward ‘diseases and disorders’ in a more mathematical, computable, and surgical manner.

I received my B.S. in Neuroscience, Applied Mathematics and Statistics, and Computation Medicine at Johns Hopkins University in 2022, where I spent most of my time doing neurodegeneration, multi-omics computational genomics, radiomics research.

I’m a first-generation Korean American and also an amateur Artist. I came to US by myself when I was 14 to start a new life - since then I’ve been sailing towards the north star of American Dream… Outside of academics I have a wide array of art and cultural interests - I have been a backpack camper, painter, guitarist, and many others. Chances are, I’m learning a new hobby or trying out some random things at the moment.

Publications

• Sangwon KL, Nguyen MK, Wiggan DD, et al. Assessing STA-MCA Anastomosis Patency Using FLOW 800 Hemodynamics. (Accepted, Journal of Neurosurgery)
• Rabin-Birnbaum C, Wiggan DD, Sangwon KL, et al. Learning Curve of Robotic End-to-Side Microanastomoses. (Accepted, Operative Neurosurgery)
• *von Oiste GG, *Sangwon KL, et al. Utilization of Carotid Web Angioarchitecture for Stroke Risk Assessment. World Neurosurg. 2023 Nov; doi:10.1016/j.wneu.2023.11.091
  • *Equal contribution, co-First Author
• Alber D, Lock E, Sangwon K, et al. Tmic-84. A deep learning-based method for rapid, patient-specific assay of macrophage infiltration in high-grade glioma using label-free stimulated Raman histology. Neuro Oncol. 2023;25(Supplement_5):v297-v297. doi:10.1093/neuonc/noad179.1149
• Sangwon KL, Esparza R, et al. Endoscopic Endonasal Approach for Direct Puncture Embolization of Cavernous Dural Arteriovenous Fistula: 2-Dimensional Operative Video. Operative Neurosurgery. DOI: 10.1227/ons.0000000000000947
• Kim NC, Sangwon KL, Raz E, Shapiro M, Rutledge C, Nelson PK, Riina HA, Nossek E. Early Experience of Surgical Planning for STA-MCA Bypass Using Virtual Reality. World Neurosurg. 2023 Jun;174:e44-e52. doi: 10.1016/j.wneu.2023.02.113. Epub 2023 Mar 9. PMID: 36906090.
• Liu A, Suryadevara C, Sangwon KL, et al. FLOW 800 in combination with machine learning algorithms may predict peri-operative ischemic events in patients undergoing STA-MCA bypass surgery. (under review)
• Kang BG, Kang SU, Kim JJ, Kwon JS, Gagne JP, Lee SY, Kim S, Sangwon KL, et al. Proteome-wide microarray-based screening of PAR-binding proteins. bioRxiv. Published online 2022:2022.06.06.494829. doi:10.1101/2022.06.06.494829
• Ha S, Sangwon KL, Dawson VL, Dawson TM, Kang, SU. CoV-2 N protein regulates CXCL-8(IL-8) by PAR related ubiquitin degradation pathway and increases neuronal disorder markers. (under review)

Abstracts/Presentations

previous name: Sangwon Lee (until 02/2023)

• Bounajem, MT. Liang A. Sangwon KL. et al. “Carotid artery stenting and endarterectomy for treatment of symptomatic carotid web: a multi-institutional series.” Accepted at SNIS 2024.
• Kim, NC. Budimlija, Z. Sangwon KL. et al. “Utility of Pre-flip Intraoperative Neurophysiologic Monitoring Baselines for Posterior Decompression and Fusion for Cervical Spondylotic Myelopathy.” Accepted/Presented at AANS 2024, IMAST 2024, DSPN Spine Summit 2024 - Best Presentation Award.
• Kim NC, Sangwon KL, et al. “The Impact of Sarcopenic Obesity on Adjacent Segment Disease and Mechanical Complications Following Degenerative Lumbar Fusion.” Accepted/presented at DSPN Spine Summit 2024.
• Orillac C, Eremiev, A. Sangwon KL, et al. “Comparison of Patient Insurance Status and Case Severity for Neurosurgery Patients in Public and Private Hospitals in New York City” Accepted/Presented at AANS 2024
• Orillac C, Eremiev, A. Sangwon KL, et al. “Evaluating Efficiency of Care: Comparison of Length of Stay for Neurosurgery Patients in Public and Private Hospitals in New York City” Accepted/Presented at AANS 2024
• Sangwon KL, et al. “Generative Artificial Intelligence Framework for Synthetic MRIs of Brain Metastases Patients” Accepted/Presented at CNS 2023.
• Sangwon KL, et al. “Predicting STA-MCA Anastomosis Patency Using FLOW800” Accepted/Presented at CNS 2023, EANS 2023, SNIS 2023
• Kim NC, Sangwon KL, et al. “The Impact of Sarcopenic Obesity on Perioperative Morbidity and Mechanical Complications Following Lumbar Fusion.” Accepted/presented at AANS, CNS Spine Summit 2023, CNS 2023.
• Kim, NC. Budimlija, Z. Sangwon KL. et al. “Utility of Pre-flip Neuromonitoring Baselines for Posterior Decompression and Fusion for Cervical Myelopathy.” Accepted at Europe Cervical Spine Research Society 2023. Accepted/Presented at CNS 2023
• Wiggan DD, Rabin-Birnbaum C, Sangwon KL, Nossek E. “Early Experience with Robotic Microvascular Anastomoses” Accepted/Presented at CNS 2023.
• Alber D, Sangwon KL, et al. “Deep Learning-Based Image-to-Image Translation to Identify Macrophage Infiltration in High-Grade Glioma Using Label-Free Stimulated Raman Histology” Accepted/Presented at CNS 2023.
• Alber D, Cheung A, Kurland D, Sangwon KL, et al. “Spine-Tuned Natural Language Models and Bespoke Regular Expression Classifiers for Automated Spinal Surgery Registry Development” Accepted/Presented at CNS 2023.
• Lock E, Alber D, Smith A, Sangwon KL, et al. “The Impact of Tumor Mutational Status on Protoporphyrin IX Accumulation in Tumor-Associated Macrophages in Glioblastoma Patients” Accepted/Presented at CNS 2023.
• Sangwon KL, Oermann EK. “MRImagine: Generative AI to Predict and Visualize Post-SRS ‘Future’ MRI of Brain Metastases.” Presented at AANS NYU Chapter Medical Student Research Seminar, New York, NY 12/2022.
• Wiggan DD, Rabin-Birnbaum C, Sangwon, KL, Nossek E. “Learning Curve for Vascular Anastomoses using the MUSA Microsurgical Robotic Platform.” Presented at AANS NYU Chapter Medical Student Research Seminar, New York, NY 12/2022.
• Stouffer KM, Xu E, Lee KS, et al. “Synthesizing Spatial Scales: Computational Tools for Multi-Modal Multi-Scale Neuroimage Registration and Analysis.” Accepted at Alzheimer’s Association International Conference (AAIC) 2022. Accepted/Presented at International BRAIN initiative 2022.
• Lee S, Zuo Y, Yang X. “Multi-omics Integration to Identify Network Perturbation of Glial Cells in Psychiatric Disorders.” Accepted and presented at UCLA Bruins in Genomics 2020 Conference, Los Angeles, CA 08/2020. Presented at Johns Hopkins Undergraduate 2020 Honors Research Symposium, Baltimore, MD 10/2020.
• Lee S. “Variant Expression and Pathway Analysis of Circadian Rhythm Dysfunction Disorder.” Presented at Johns Hopkins 2021 Computational Bio and Bioinformatics Poster Event, Baltimore, MD 05/2021.