It has been 27 years since the development of the first, partially effective therapy using nucleoside analog reverse-transcriptase inhibitor, azidothymidine (AZT), against Human Immunodeficiency Virus (HIV). Upon the development of combination antiretroviral therapies (ART) interfering with the HIV life cycle, the clinical prospects of HIV infected individuals improved. However, ART cannot eliminate the virus from the body even when targeting multiple phases of the HIV life cycle. This phenomenon is due to persistence of often latent (inactive) viruses within reservoirs and compartments, which may cause reestablishment of viremia to pre-therapy levels after cessation of ART. Viral reservoirs are sites that both restrict viral replication and preserve replication-competent viral populations, and are genetically characterized as exhibiting low divergence from most recent common ancestor (MRCA) of infection and high population diversity. Virological compartments are characterized by exhibiting restricted viral gene flow. In order to develop HIV treatments that target latent viruses, we need to understand how and where the viral latency occurs in the human host. This study focuses on finding reservoir-like tissue sites in the hosts who have maintained latent HIV infection during suppressive ART. We analyzed the viral populations present in the bone marrow, brain, large intestine, liver, lung, and lymph node from one male (patient 3), and kidney, large intestine, lung, lymph node, and small intestine from another male (patient 6), both at autopsy. Viral genetic divergence and diversity were calculated based on alignments of the viral POL and ENV genes to identify possible reservoirs. We found two varient HIV population and evidence of lung being more reservoir-like compared to other tissues in patient 3, while we found no evidence that any tissue from patient 6 was more reservoir-like compared to other tissues. As lung has been implicated as potential reservoir in previous studies, we need to collect more sequences and perform the phylogenetic analysis on other cohorts.