Overview of Dr. Daggubati
As the Director of Surgical Neuro-Oncology at The George Washington University Hospital, I lead a team of dedicated professionals who provide comprehensive and compassionate care for patients with brain tumors and other neurological disorders. I have over 8 years of experience in neurosurgery, with a special focus on brain tumors, skull base surgery, and minimally invasive cranial and spinal neurosurgery.
I am also an Assistant Professor of Neurological Surgery at GWU, where I teach and mentor the next generation of neurosurgeons. I have a Master of Science in Data Science from Northwestern University, and I apply my analytical skills and knowledge to improve patient outcomes and quality of care. I have published over 30 articles, presented at national conferences, and delivered invited talks on various topics related to neurosurgical oncology. I am passionate about advancing the field of brain tumor research and treatment, and I collaborate with other experts and organizations to achieve this goal.
Office
2150 Pennsylvania Avenue NW 7th Floor
Washington, DC 20037
Education & Training
- University of Miami Hospital and ClinicsFellowship, Neurosurgical Oncology, 2022 - 2023
- Penn State Milton S Hershey Medical CenterResidency, Neurological Surgery, 2015 - 2022
- Drexel University College of MedicineClass of 2015
- Drexel UniversityBS, Biology, Magna Cum Laude, 2008 - 2012
Certifications & Licensure
- VA State Medical License 2023 - 2026
- DC State Medical License 2023 - 2024
- FL State Medical License 2022 - 2024
- MD State Medical License 2024 - 2024
- PA State Medical License Active through 2022
Awards, Honors, & Recognition
- Top Operative Technique Poster in the Peripheral Nerve Section Congress of Neurological Surgeons, 2021
Publications & Presentations
PubMed
- Same-day discharge after intracranial shunt revision: a retrospective propensity-matched safety analysis.David S Bailey, Lekhaj Daggubati, Sarah Strausser, Madelaine Fritsche, Morgan Lehman
Child's Nervous System. 2024-12-16 - Metabolic signatures derived from whole-brain MR-spectroscopy identify early tumor progression in high-grade gliomas using machine learning.Cameron A Rivera, Shovan Bhatia, Alexis A Morell, Lekhaj C Daggubati, Martin A Merenzon
Journal of Neuro-Oncology. 2024-12-01 - Leveraging machine learning for preoperative prediction of supramaximal ablation in laser interstitial thermal therapy for brain tumors.Cameron A Rivera, Shovan Bhatia, Venkat Uppalapati, Chandler N Berke, Martin A Merenzon
Neurosurgical Focus. 2024-11-01
Professional Memberships
- Member
- Congress of Neurological SurgeonsMember
- North American Skull Base SocietyMember
Other Languages
- Telugu
External Links
- GW MFA Linkhttps://gwdocs.com/profile/lekhaj-daggubati
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