Al Latif, MS

Biography

Al is the computational lead of the new CFAR Bioinformatics Core, co-directed by Gabi Fragiadakis and Sulggi Lee. He will be applying his extensive skillset in high-dimensional data analysis to support a variety of projects in collaboration with the HIV research community at UCSF. As part of the core's service to the community, Al will be conducting weekly office hours on Tuesdays 3-5. This is an opportunity for investigators at all levels to meet Al, hear more about the core's plans, and receive consultation and advising on projects that involve bioinformatics in HIV/AIDS research. Please reach out to Al to make an appointment! 

Check out some of Al's recent work:

• Fang, L., Monroe, F., Novak, S.W. et al. Deep learning-based point-scanning super-resolution imaging. Nat Methods 18, 406–416 (2021). https://doi.org/10.1038/s41592-021-01080-z
• Parker, E., Anderson, C., Zeller, M. et al. Regional connectivity drove bidirectional transmission of SARS-CoV-2 in the Middle East during travel restrictions. Nat Commun 13, 4784 (2022). https://doi.org/10.1038/s41467-022-32536-1
• Gangavarapu, K., Latif, A.A., Mullen, J.L. et al. Outbreak.info genomic reports: scalable and dynamic surveillance of SARS-CoV-2 variants and mutations. Nat Methods 20, 512–522 (2023). https://doi.org/10.1038/s41592-023-01769-3
• Tsueng, G., Mullen, J.L., Alkuzweny, M. et al. Outbreak.info Research Library: a standardized, searchable platform to discover and explore COVID-19 resources. Nat Methods 20, 536–540 (2023). https://doi.org/10.1038/s41592-023-01770-w