CV

Education

• B.S. in Neuroscience, Applied Mathematics, and Computational Medicine, Johns Hopkins University, 2022
• M.D., NYU Grossman School of Medicine, 2026 (expected)

Research/Work Experience

• 10/2022 – Present: Medical Student Researcher
  • NYU Langone Health – OLAB, New York, NY
  • Current Areas of Involvement: General Neurosurgery and Data Science. Healthcare Informatics and Artificial Intelligence. Natural Language Processing.
  • Prior Areas of Work: Diffusion Model and Stereotactic Neurosurgery (Douglas Kondziolka, MD). Spine Neuromonitoring (Derryl Lau, MD). Bibliometrics (David Kurland, MD). Patient Demographics (David Harter, MD).
  • Awards: National Neurosurgery NREF 2023 Fellowship
  • Supervisors: Eric K. Oermann, MD.
• 10/2022 - Present: Medical Student Researcher
  • NYU Langone Health – Department of Cerebrovascular Neurosurgery, New York, NY
  • Current Areas of Involvement: Computational Cerebrovascular Flow Dynamics and Data Science. FLOW800 Zeiss. Carotid Webs.
  • Prior Areas of Work: Augmented/Virtual Reality.
  • Supervisor: Erez Nossek, MD.
• 02/2019 – 05/2022: Research Intern
  • Johns Hopkins Medicine – Institute for Cell Engineering, Baltimore, MD
  • Areas of Work: Parkinsons Disease. Circadian Rhythm. Motif Engineering. COVID19. PAR-proteome. Computational Transcriptomics.
  • Supervisor: Ted Dawson, MD, PhD. Sung-Ung Kang, MD, PhD.
• 06/2021 – 08/2021: Research Intern
  • Johns Hopkins Medicine – Department of Internal Medicine, Baltimore, MD
  • Mayo Clinic - Department of Internal Medicine, Rochester, MN
  • Areas of Work: Medical Informatics. Medical Ontology. Logic and Algorithm.
  • Supervisor: Chris Chute, MD, PhD. Harold Solbrig
• 12/2020 – 05/2021: Research Intern
  • Johns Hopkins University – Biomedical Engineering, Baltimore, MD
  • Areas of Work: Computational Vision. Alzheimer’s Disease (BIOCARD Project).
  • Supervisor: Michael Miller, PhD. Daniel Tward, PhD.
• 05/2020 – 08/2020: Computational Genomic Analyst / Research Intern
  • UCLA – Institute for Quantitative & Computational Biosciences, Los Angeles, CA
  • Areas of Work: Computational Genomics. Multi-omics. Developmental Psychytric Disorders.
  • Awards: Funded by NIH Educational Grant 5R25MH109172-05. Received Research Excellence Award at UCLA B.I.G. Symposium 2020
  • Supervisor: Xia Yang, PhD. Yanning Zuo.
• 08/2018 – 02/2019: Research Intern
  • F.M. Kirby Research Center for Functional Brain Imaging, Baltimore, MD
  • Areas of Work: Computational Vision.
  • Supervisor: Peter van Zijl, PhD. Xu Li, PhD.

Publications

• Sangwon KL, Nguyen M, Wiggan DD, et al. Assessing superficial temporal artery–middle cerebral artery anastomosis patency using FLOW 800 hemodynamics. J Neurosurg. 2024;1(aop):1-10. doi:10.3171/2024.4.jns24713
• Sangwon KL, Oermann EK, Nossek E. Predicting STA-MCA Anastomosis Success: Insights from FLOW 800 Hemodynamics. (Accepted, World Neurosurg)
• Alber D, Yang Z, (including Sangwon KL) et. al. Medical large language models are vulnerable to attack. (Accepted, Nature Medicine)
• Rosenbaum G, Yang Z, (including Sangwon KL) et. al. MedG–KRP: Medical Graph Knowledge Representation Probing. (Under review, ML4H)
• Alyakin A, Kurland D, Alber D, Sangwon KL, et al.CNS-CLIP: Transforming a Neurosurgical Journal into a Multimodal Medical Model. (Accepted Neurosurgery)
• Grin EA, Wiggan DD, Sangwon KL, et al. Interrupted Versus Running Sutures for STA-MCA Cranial Bypass. (Accepted, Operative Neurosurgery)
• Rabbin-Birnbaum C, Wiggan DD, Sangwon KL, et al. Learning curve of robotic end-to-side microanastomoses. Oper Neurosurg (Hagerstown). Published online 2024. doi:10.1227/ons.0000000000001187
• Covell MM, Maroufi SF, Kurland D, Sangwon KL, et al. The Bibliometric Evolution of Neurosurgery Publications from 1977 to 2023. Neurosurgery Practice. In press.
• Eremiev AN, Orillac C, Sangwon KL, et al. Disparities in neurosurgical care: Using length of stay to evaluate efficiency of care in New York City hospitals. J Hosp Adm. 2024;13(2):59.
• Anonymous Authors (including Sangwon KL), et al. Language Models Can Guess Your Identities from De-identified Clinical Notes. Journal of Machine Learning Research. 2024. Pre-print.
• *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.
• 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

Abstracts/Presentations

previous name: Sangwon Lee (until 02/2023)

• Sangwon KL, et al. “Clinical Auto-referral Pipeline for Patients with Radiologically Identified Spinal Metastasis Using Natural Language Processing” Accepted and presented at CNS 2024. Awarded Best Basic Science Award - CNS Data Science Section
• Sangwon KL, et al. “Intraoperative Venous Outflow Assessments During Obliteration of Dural Arteriovenous Fistula Using Hemodynamic Changes of FLOW800 Technology” Accepted and presented at CNS 2024.
• Sangwon KL, et al. “A Generalizable Pipeline For Building An Extensive Domain-Specific Dataset From A Medical Journal - Neurosurgery Edition” Accepted and presented at CNS 2024.
• Sangwon KL, et al. “Intraoperative Anastomotic Flow Measurements During STA-MCA Bypass Using FLOW800 Hemodynamics” Accepted and presented at CNS 2024.
• Sangwon KL, et al. “Seven Decades Of Change: Tracing The Evolution Of Neurosurgery Through Lexical Analysis Of Neurosurgery Publications Of The CNS (1955-2024)” Accepted and presented at CNS 2024.
• Bounajem MT, (Including Sangwon KL), et al. “Outcomes After Endarterectomy Versus Stenting For Treatment Of Symptomatic Carotid Artery Web” Accepted and presented at CNS 2024.
• Wiggan D, Negash B, Sangwon KL, et al. “Running Versus Interrupted Sutures for STA-MCA Bypass: Flow and Anastomotic Maturity on Follow-Up Imaging” Accepted and presented at CNS 2024.
• Negash B, Wiggan D, Sangwon KL, et al. “Carotid Web Angioarchitecture Based Risk Stratification Assessment May Accurately Determine Low Stroke Risk and Aid in Surgical Patient Selection” Accepted and presented at CNS 2024.
• Grin E, Negash B, Wiggan D, Sangwon KL, et al. “Atypical Carotid Webs: An Elusive Etiology of Acute Stroke” Accepted and presented at CNS 2024.
• 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.

Talks

• New York University - NYU AI School
  • Invited Speaker
  • New York, NY 06/04/2023
  • Invited as a Speaker for NYU Summer AI School sponsored by Google DeepMind to talk about intersection of Medicine and AI.
  • https://nyu-mll.github.io/nyu-ai-school-2023/

Teaching

• Johns Hopkins University – Department of Applied Mathematics and Statistics
  • Teaching Assistant – Professor: Fred Torcaso
  • Baltimore, MD 08/2021 – 12/2021
  • For Undergraduate/Graduate 420/620 Probability Theory.
• Johns Hopkins University – Computer Science
  • Teaching Assistant – Professor: Sabrina Mielke
  • Baltimore, MD 08/2021 – 12/2021
  • For Undergraduate/Graduate 464/664 Artificial Intelligence.
• Johns Hopkins University Academic Support
  • PILOT Leader (Peer-Led Team Learning Leader) – Supervisor: Ariane Kelly
  • Baltimore, MD 09/2019 – 05/2021
  • For Undergraduate Calculus III/Organic Chemistry II.

Honors/Awards

• 2018 - Valedictorian Award (The Walker School, Marietta, GA), Georgia Certificate of Merit, Phi Beta Kappa Book Award, Georgia Governor’s Honors Program Mathematics Finalist
• 2019 - One for Two Education Foundation Scholarship Finalist (Merit-based Full Tuition Scholarship)
• 2020 - UCLA Bruins in Genomics Research Fellowship (\$6,000) & Research Excellence Award
• 2021 - Bloomberg Distinguished Professor Summer Research Award (\$6,000), Johns Hopkins Life Design SOAR 2021 Summer Research Award (\$3,000)
• 2022 - Johns Hopkins University Departmental Honors for Neuroscience & Applied Mathematics and Statistics, Phi Beta Kappa Inductee, NYU Grossman School of Medicine Full Scholarship Award
• 2018-2022 – Krieger School of Arts and Sciences & Whitening School of Engineering Dean’s List (All Semesters)
• 2023 - NREF Medical Student Summer Neurosurgery Research Fellowship Award (\$2,500), NYU Grossman Summer Research Fellowship Award (\$3,500)
• 2024 - KSAF(Korean American Scholarship Foundation) National Scholarship (\$5,000), Congress of Neurological Surgeons 2024 Best Basic Science Award - CNS Data Science Section

Skills

• Programming Languages
  • Python, R, MATLAB, Mathematica
• Laboratory
  • General Laboratory Techniques for Organic Chemistry, Biochemistry, Cell Biology, Neuroscience (e.g. Western blot, culturing, chromatography, cloning, SDS/Native-PAGE, etc.)
• Languages

  • Native - English, Korean

    Fluent - Spanish, Japanese

Memberships/Leaderships

• Scholar, One for Two Education Foundation (2018-Present)
• Member (2022-Present)
  • Phi Beta Kappa
  • AANS
  • RSNA
  • NYUGSOM Medical Innovation and Entrepreneurship Club
• Treasurer & Co-leader, AANS NYU School of Medicine Student Chapter (2022-2023)
• Co-Chair, Johns Hopkins Hospital Art Cart Organization (2018-2022)

Extracurricular Activites

• Art: See My Portfolio
  • Surrealism/Abstract Painting
  • Selected for Cover Art of 2023-2024 Agora Print Magazine
  • Featured on NYUGSOM 2024 Art House.
  • Featured on NYUGSOM’s Spring 2024 Edition Agora: The Arts and Literature Magazine Link
  • Selected for Permanent Display 2023 at Student Lounge, NYU Grossman School of Medicine, New York, NY
  • Published Art Therapy Coloring Book “Hopkins in Color,” Taylor Communications in English, Spanish, and Arabic. Distributed at the Johns Hopkins Hospital 2022.
  • Magyar Art Award (local art award) 2018, Marietta, GA
  • Marietta Chalk Festival 1st Place 2017, 2018
  • Featured on Magazine Cobb in Focus May/June 2018 Edition.
  • Displayed at Rescuing Hope 2017, Atlanta, GA
  • Held Gallery Exhibit 2018 at Markay Gallery, Marietta, GA
• Music
  • Guitarist for a medical student band.
• Volunteering
  • Co-Chair – Johns Hopkins Hospital Art Cart Organization,
    • Baltimore, MD 08/2018 – 05/2022
    • Provided free arts and crafts sessions to children, patients, and their families around Johns Hopkins Hospital and Baltimore Ronald McDonald House as a way to provide Art Therapy. Introduced paper origami as one of the regular craft ideas for Art Cart sessions.
    • Led an Art Therapy Coloring Book project “Hopkins in Color” as the project lead during COVID-19 to distribute free coloring books to patients. Upon popular demand, coloring book was printed in 3 languages, partnered with Taylor Communications, and distributed to various wards at the Johns Hopkins Hospital in collaboration with JHH Patient and Family Advisory Council (PFAC).
    • Supervisor: Amberly Bark
• Misc.: Camping & Backpack Traveling Abroad, Jiu Jitsu