Currently, Akhil is a Digital Pathology Postdoctoral Fellow focusing on understanding the pathogenesis of high-consequence pathogens using advanced machine learning under the mentorship of board-certified human and veterinary pathologists. The fellowship involves conducting advanced machine learning-based research to analyze histopathology slides from high-consequence viral infections, such as Crimean Congo Hemorrhagic Fever, Nipah, Hendra, Ebola, and Marburg viruses, with the ultimate goal of understanding mechanisms of pathogenesis. The fellowship additionally involves training in spatial transcriptomics, spatial proteomics and digital imaging. Akhil finished his 1-year Veterinary Anatomic Pathology Internship at Tuskegee University College of Veterinary Medicine (TUCVM). At TUCVM, Akhil received gross and microscopic pathology training by participating in diagnostic services and weekly rounds, guided by four anatomic pathologists and two clinical pathologists. Akhil is a highly motivated individual with a strong interest in veterinary anatomic pathology, evidenced by his participation in multiple externships, including Wyoming State Veterinary Diagnostic Lab (WVSL), Wisconsin National Primate Research Center (WNPRC), Memorial Sloan Kettering Cancer Centre (MSKCC), University of North Carolina, Oregon State University & TUCVM. Akhil completed his Ph.D. in the Department of Veterinary Pathology at Iowa State University, focusing on the pathogenesis of urinary bladder cancer induction using organoids and infectious disease pathogenesis using mice and swine models. A strategic, innovative, veterinarian-scientist with 4+ years of post-DVM translational research experience in the areas of infectious diseases. Excellent communication, project management, and collaborative skills. Expertise in experimental design, analysis, and interpretation of in vivo studies. Experience in bioinformatics, histopathology, developing microbiome therapeutic candidates, and conducting preclinical studies in vivo mice and swine models.