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Resident Research Fellows »  Jaeyun (Jane) Wang, M.D.
Jaeyun (Jane) Wang, MD

Jaeyun (Jane) Wang, MD

  • Resident Research Fellow
  • General Surgery

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Jane (Jaeyun) Wang, M.D. is currently a general surgery resident with the UCSF Department of Surgery. She completed her undergraduate studies at Northwestern University, majoring in Neurobiology, followed by medical school at Johns Hopkins University School of Medicine, where she was elected to the Alpha Omega Alpha honor medical society upon graduation.

Dr. Wang has been involved in clinical research in surgical oncology since 2015, contributing to projects investigating how we can improve perioperative prognostication for patients with colorectal cancer liver metastases. Most recently, she has become interested in using artificial intelligence and machine learning to improve detection of pre-operative margin status for patients with pancreas cancer. She plans to pursue a fellowship in Surgical Oncology.
  Dept or School    
  End Date    
  • Johns Hopkins University School of Medicine, Baltimore, MD
  • MD
  • 05/2019
  • University of California, San Francisco, San Francisco, CA
  • Residency
  • Northwestern University, Evanston, IL
  • BA
  • Biological Sciences
  • 06/2014
  •   Award  
      Confired By    
  • Surgical Data Science Project Winner
  • IHU-Strasbourg
  • 2023
  • Muriel Steele Society Influential Women in Surgery Honor Roll
  • University of California, San Francisco
  • 2022
  • Noyce Initiative Computational Innovator Postdoctoral Fellowship Award
  • University of California, San Francisco
  • 2021
  • Alpha Omega Alpha
  • Johns Hopkins University School of Medicine
  • 2019
  • Summa Cum Laude
  • Northwestern University
  • 2014
    • Clinical Outcomes after Hepatectomy for Colorectal Cancer Liver Metastases
    • Surgical Oncology
    • Artificial Intelligence and Machine Learning in Surgical Oncology
    • Clinical Risk Scores of Patients Undergoing Hepatectomy for Colorectal Cancer Liver Metastases
    Data provided by UCSF Profiles, powered by CTSI
    1. Romero-Hernandez F, Wang JJ, Nakamura Y, Chern H, Sarin A. Transanal excision of rectal lesions using the single port robotic platform: A video vignette. Colorectal Dis. 2023 Oct 14. View in PubMed
    2. Bertsimas D, Margonis GA, Tang S, Koulouras A, Antonescu CR, Brennan MF, Martin-Broto J, Rutkowski P, Stasinos G, Wang J, Pikoulis E, Bylina E, Sobczuk P, Gutierrez A, Jadeja B, Tap WD, Chi P, Singer S. An interpretable AI model for recurrence prediction after surgery in gastrointestinal stromal tumour: an observational cohort study. EClinicalMedicine. 2023 Oct; 64:102200. View in PubMed
    3. Ashraf Ganjouei A, Romero-Hernandez F, Wang JJ, Casey M, Frye W, Hoffman D, Hirose K, Nakakura E, Corvera C, Maker AV, Kirkwood KS, Alseidi A, Adam MA. A Machine Learning Approach to Predict Postoperative Pancreatic Fistula After Pancreaticoduodenectomy Using Only Preoperatively Known Data. Ann Surg Oncol. 2023 Nov; 30(12):7738-7747. View in PubMed
    4. Lluís N, Asbun D, Wang JJ, Cao HST, Jimenez RE, Alseidi A, Asbun H. Lymph Node Dissection in Intrahepatic Cholangiocarcinoma: a Critical and Updated Review of the Literature. J Gastrointest Surg. 2023 Aug 07. View in PubMed
    5. Wang JJ, Feng J, Gomes C, Calthorpe L, Ashraf Ganjouei A, Romero-Hernandez F, Benedetti Cacciaguerra A, Hibi T, Adam MA, Alseidi A, Abu Hilal M, Rashidian N, International Post-Hepatectomy Liver Failure Study Group. Development and Validation of Prediction Models and Risk Calculators for Posthepatectomy Liver Failure and Postoperative Complications Using a Diverse International Cohort of Major Hepatectomies. Ann Surg. 2023 12 01; 278(6):976-984. View in PubMed
    6. View All Publications


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