Daniel R Wahl, MD, PhD

Daniel Wahl, MD, PhD
Achtenberg Family Professor of Radiation Oncology
Associate Professor of Radiation Oncology
Associate Professor of Neurosurgery
Medical School
University of Michigan–Ann Arbor
Department of Radiation Oncology
1500 East Medical Center Drive, UH B2C490 SPC 5010
Ann Arbor, MI 48109-5010
[email protected]
Available to mentor
Daniel R Wahl, MD, PhD
Daniel Wahl, MD, PhD
Associate Professor
  • About
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  • Research Overview
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  • About

    Dr. Wahl is a physician scientist at the University of Michigan specializing in cancers of the central nervous system. His research focuses on the development of new treatment strategies for brain tumors and his laboratory group is especially interested in interactions between radiation and abnormal metabolism in glioblastoma. In the clinic, he cares for a wide variety of patients with both malignant and benign tumors of the central nervous system.

    Links

    • Wahl Lab
    • Personal page on department website

    Center Memberships

    • Center Member
      Rogel Cancer Center
    • Center Member
      Taubman Institute

    Research Overview

    Dr. Wahl's research focuses on developing strategies to overcome treatment resistance in aggressive brain tumors. He has a particular interest in understanding and interrupting the links between altered metabolism and radiation resistance in glioblastoma.

    Recent Publications

    See All Publications
    • Journal Article
      Brain cells refine nitrogen choice with maturity.
      Scott AJ, Lyssiotis CA, Wahl DR. Nat Metab, 2026 Apr 29; DOI:10.1038/s42255-026-01519-7
      PMID: 42056504
    • Journal Article
      393 THY1: A Therapeutically Targetable Mediator of Treatment Resistance in H3K27M Pediatric Tumors
      Syed S, Tripathy A, Ji S, Alomary Y, de la Nava Martin D, Mota M, Chakravarthy R, Huang D-L, Wang Z, Li Z, Zhang Q, Lawrence T, Wahl D, Koschmann C, Venneti S, Rehemtulla A, Al-Holou W. Neurosurgery, 2026 Mar 17; 72 (Supplement_1): 109 - 109. DOI:10.1227/neu.0000000000003964_393
    • Presentation
      Measuring and targeting altered metabolism in brain cancer
      Wahl D. 2026 May 20;
    • Presentation
      What Reviewers Look for in Your RPG Application: Perspectives from Reviewers
      Hong C-C, Wahl D, Bogler O. 2026 May 20;
    • Journal Article
      Neuronal SEL1L-HRD1 ER-associated degradation is essential for motor function and survival in mice.
      Torres M, Lu Y, Pederson B, Wang H, Gretzinger A, Lin L, Hwang J, Chen X, Rupp AC, Tomlinson AJ, Scott AJ, Zhao Z, Wahl DR, Myers M, Lyssiotis CA, Qi L. J Clin Invest, 2026 Feb 19; DOI:10.1172/JCI196819
      PMID: 41712288
    • Journal Article
      Digital twins for in vivo metabolic flux estimations in patients with brain cancer
      Meghdadi B, Al-Holou WN, Scott AJ, Mittal A, Liang N, Sravya P, Achreja A, O’Brien A, Do K, Wu Z, Feng J, Qi NR, Tarnal V, Venneti S, Miller CR, Sarkaria JN, Zhou W, Lawrence TS, Lyssiotis CA, Wahl DR, Nagrath D. Cell Metabolism, 2026 Jan 6; 38 (1): 228 - 246.e17. DOI:10.1016/j.cmet.2025.10.022
      PMID: 41330373
    • Preprint
      Adaptive nuclear GTP synthesis promotes glioblastoma treatment resistance and is a targetable vulnerability in patients.
      Scott AJ, Liang N, Al-Holou WN, Xu J, O'Brien A, Lin A, Pareek V, Sha Z, Zhao Z, Yang JZ, Yang A, Kothari AU, Wilder-Romans K, Wu Z, Feng J, Korimerla N, Elaimy A, Palavalasa S, Chen J, Wang L, Zhang L, Andren AC, Sajjakulnukit P, Marini B, Heth JA, Morgan MA, Lawrence TS, Benkovic SJ, Nagrath D, Chandrasekaran S, Qi NR, Sun D, Wen B, Pai MP, Clarke N, Suresh K, Umemura Y, Lyssiotis CA, Zhou W, Wahl DR. 2025 Nov 13; DOI:10.1101/2025.11.11.25340023
      PMID: 41292630
    • Journal Article
      TMET-57. Integrating scRNA-seq and13C-tracing delineates metabolic heterogeneity in the glioblastoma tumor microenvironment
      Meghdadi B, Al-Holou W, Scott A, Mittal A, Liang N, Palavalasa S, Achreja A, Qi N, O’Brien A, Tarnal V, Zhou W, Lawrence T, Lyssiotis C, Wahl D, Nagrath D. Neuro-Oncology, 2025 Nov 12; 27 (Supplement_5): v441 - v441. DOI:10.1093/neuonc/noaf201.1748
      PMID: PMC12601269

    Featured News & Stories

    Department News

    Brain cancer digital twin predicts treatment outcomes

    A new machine-learning-based approach to mapping real-time tumor metabolism in brain cancer patients, developed at the University of Michigan, could help doctors discover which treatment strategies are most likely to be effective against individual cases of glioma.
    light blue background with pink brain with red circle area growing
    Health Lab

    Dietary changes could provide a therapeutic avenue for brain cancer

    A team of researchers from Michigan Medicine tracked how glucose is used in glioblastoma tumor cells. They showed that dietary interventions can slow brain cancer growth in mice.
    The Achtenberg family dressed in Michigan gear at University Hospital.
    Philanthropy News

    Dedicated football fans create professorship for life-saving research after wife’s glioblastoma treatment

    U-M football fans Jim and Connie Achtenberg are turning their experience with glioblastoma into hope by funding research at Rogel Cancer Center.