Washington, District of Columbia, United States
I am a Biomedical Engineering student at George Washington University pursuing a career as a physician-scientist at the intersection of AI, cancer biology, computational neuroscience, and global health innovation. My work spans research, clinical exposure, science communication, and technology policy across Washington, D.C., London, and New York City. Through experiences in biomedical AI, neuroengineering, oncology research, and science advocacy, I have become interested in how computational tools can help us better understand complex disease and translate discovery into patient-centered impact. Beyond the lab, I serve as Editor-in-Chief of The Catalyst, a student-led science magazine focused on making emerging research, medicine, and technology more accessible across disciplines and institutions. I am also interested in the role of global partnerships, policy, and communication in shaping the future of biomedical innovation. Long term, I hope to pursue MD/PhD training and contribute to a new model of physician-scientist leadership: one that connects medicine, computation, research, and international collaboration to advance care for patients with cancer and neurological disease.
- Selected for the Cancer-focused Summer Undergraduate Research Program (CanSUR) through the Case Comprehensive Cancer Center. - Conduct mentored cancer biology research in Dr. Justin Lathia’s lab at Cleveland Clinic Research, focused on glioblastoma, cancer stem cells, cell-cell communication, and sex differences in cancer. - Participate in cancer research training, seminars, and professional development through the CanSUR program.
- Led development of a deep learning nerve segmentation model for intraoperative nerve identification in thyroid surgery, improving Dice score from 47.7% to 69.9% and accuracy from 64.4% to 81.7% - Scaled training dataset by 200% and adapted the model to generalize to noisy, clinically relevant surgical environments using PyTorch, PyCUDA, NumPy, and Pandas - Co-authored two peer-reviewed abstracts published in the Carnegie Mellon Forum for Biomedical Engineering (2025) and ISITES (2026) - Presented research and demoed the model at the 2025 AI+ Expo (20,000 attendees); organized and led the Engineering booth end-to-end, including exhibitor coordination and promotional marketing
- Developed and extended an ImageJ plugin for automated axon quantification in Java and R, in collaboration with postdoctoral researcher Marco Milano, expanding platform compatibility from Windows-only to macOS and Linux - Broadened the tool's analytical scope beyond spinal cord injury to include brainstem and sciatic nerve tissue, requiring deep familiarity with immunofluorescence imaging and GFAP staining protocols - Reduced researcher analysis time by ~60% across use cases; plugin tested by 20+ neuroscience researchers across Imperial College and currently under review for publication - Shadowed postdoctoral researchers weekly during tissue staining and dissection procedures to build hands-on understanding of CNS pathology and repair
- Accepted as a visiting clinical fellow under Dr. Senthil Nathan, Chief of Robotic Surgery at Cleveland Clinic London, gaining direct access to one of Europe's leading robotic surgery programs - Logged 100+ hours in the operating theatre observing da Vinci robotic-assisted procedures across urology, colorectal, and thoracic surgery - Assisted in outpatient colorectal clinic under Dr. Richard Cohen, sitting in on patient consultations and gaining exposure to the full patient care continuum from diagnosis to surgical intervention - Attended the Cleveland Clinic London Annual Robotics Conference, with a focus on emerging applications of AI in surgical systems and the future of robotic-assisted care