Nathan C. Walk, MD


Advanced Research Fellow
333 Cedar Street
P. O. BOX 208009
New Haven, CT 06520-8009, USA

Biography

Nathan Walk is a dermatopathologist with advanced training and board certification in Anatomic Pathology, Clinical Pathology and Dermatopathology. As a current Advanced Research Fellow in Medical Informatics at the Veteran’s Health Administration (VHA) in West Haven, Connecticut, Dr. Walk is pursuing further education and training in enterprise-level electronic medical records, high performance computational methods, and artificial intelligence. Prior to this, he worked for over a decade as a private practice surgical pathologist and dermatopathologist. He is originally from Pittsburgh, studied Mechanical Engineering at Purdue and attended medical school at Johns Hopkins School of Medicine.

During fellowship training, Dr. Walk is also enrolled in concurrent graduate degree programs at Johns Hopkins Bloomberg School of Public Health (MPH) and the Whiting School of Engineering (Artificial Intelligence). Clinically, Dr. Walk continues to work as a pathologist and dermatopathologist for the VHA. He is also a research pathologist for the Dana Farber Cancer Institute, which involves collaboration between several labs in translational medicine; current projects include 1) creation of a tissue microarray from post-treatment prostatectomy specimens, and 2) image analysis of mixed germ cell tumors of the testis for study via machine and deep learning techniques. At the VHA, Dr. Walk’s clinical research is focused on surgical- and dermatopathology within the Corporate Data Warehouse’s pathology domain (CDW is the data repository for the VA), which he personally validated for its release to research study.

Dr. Walk is a critical team member and the sole pathologist/dermatopathologist in a joint effort between the VA and “Rockies”, which is analyzing radiology reports via Natural Language Processing with Microsoft Azure’s machine and deep learning platforms, utilizing programmable neural networks. “Rockies” is the VA’s data and analytics platform; its structure is designed for managing data, discovering new knowledge, designing algorithms to make inferences on patient cohorts, and managing workflows. This project has involved Dr. Walk in mining data, algorithm design, cross validation of data sources, and work with both clinical and operational leaders at the hospital.

In his free time, Nathan enjoys time spent with his four children and wife camping, fishing, ‘rock-hounding’ (amateur geology), and movie nights. He espouses a philosophy of hard work, being useful, leading by example, and lifelong learning and believes in collaboration to leverage artificial intelligence in healthcare.

Research Interest

His research interest keywords: Enterprise-level data analysis of electronic medical records, Machine learning, Deep learning, Natural language processing, Dermatopathology, Tissue microarray, Image analysis, Testicular germ cell tumors, Prostate cancer, Public health and Artificial intelligence.

Scientific Activities

Awards and Honors

• Alpha Omega Alpha
• Phi Beta Kappa

Publications

1. He MX, Cuoco M, Crowdis J, Bosma-Moody A, Zhang Z, Bi K, et al. Transcriptional mediators of treatment resistance in lethal prostate cancer. Nat Med. 2021; 27(3): 426-433. doi: 10.1038/s41591-021-01244-6
2. Walk NC, Lind AC, Lu D. Non-melanocytic neoplasms. In: Humphrey P, Pfeiffer J, Dehner LP, eds. The Washington Manual of Surgical Pathology. Pennsylvania, USA: Lippincott Williams & Wilkin; 2008.
3. Riedel S, Bourbeau P, Swartz B, Brecher S, Carroll KC, Stamper PD, et al. Timing of specimen collection for blood cultures from febrile patients with bacteremia. J Clin Microbiol. 2008; 46(4): 1381-1385. doi: 10.1128/JCM.02033-07
4. Walk NC. An unexpected finding. In: Scott MG, Gronowski AM, Eby CE, eds. Tietz’s Applied Laboratory Medicine. 2nd ed. Hoboken, NJ, USA: Wiley & Sons; 2007: 105-110.
5. Walk NC. The jaundiced mother. In: Scott MG, Gronowski AM, Eby CE, eds. Tietz’s Applied Laboratory Medicine. 2nd ed. Hoboken, NJ, USA: Wiley & Sons; 2007: 503-512.
6. Jarrett R, Walk N, Castellano-Sanchez AA, Kreisel FH. A 68 year-old man with shortness of breath and peripheral edema: Angioimmunoblastic T-cell lymphoma. Arch Pathol Lab Med. 2006; 130(2): 219-222. doi: 10.5858/2006-130-219-AYMWSO

Peer Reviewed Presentations

1. Walk NC, Lind AC, Smith D. First year dermatopathology fellow poster presentation. Paper presented at: American Society of Dermatopathology 44th annual meeting; 2007; Baltimore, MD, USA.
2. Walk NC, Lind AC, Debra S. Primary rhabdoid melanoma with sentinel lymph node metastasis. Paper presented at: American Society of Dermatopathology 42nd annual meeting; 2005; Seattle, WA, USA.
3. Faulkner-Jones B, Walk NC, Canizares MJ, Heffernan MP, Lind AC. Septal panniculitis in a patient with nephrogenic fibrosing dermopathy. Paper presented at: American Society of Dermatopathology 42nd annual meeting; 2005; Seattle, WA, USA.
4. Cohen DB, Cullinane D, Iizuka M, Walk NC, Kostuik JP. The biomechanics of pedicle screw augmentation with polymethylmethacrylate. Paper presented at: International Society for Study of the Lumbar Spine annual meeting; 2001; Edinburgh, Scotland.
5. Presentation to Rockies platform VA scientists/analysts on merging and validation of Anatomic Pathology domain move into Corporate Data Warehouse, a SQL based relational database encompassing the entirety of the anatomic pathology data in the Veteran’s Health Administration (VA) EMR (from satellite Vista instances).