Sina Ghandian

PhD Student, MCSB

Research Data Analyst, 2022-2024. Sina graduated from UC Berkeley with a B.S. in Bioengineering and a concentration in data science. As an undergraduate, his research lay in the field of clinical informatics, where he developed models to predict the onset of different medical conditions using patient data. In the Keiser lab, he explored different applications of deep learning in biology, with a research focus in neuropathology.

Lab papers

1. Deep learning finds convergent melanocytic morphology despite noisy archival slides.

   Tada M, Gaskins G, Ghandian S, Mew N, Keiser MJ, Keiser ES. Cell Rep Methods. 2025 Oct 20.

2. Learning precise segmentation of neurofibrillary tangles from rapid manual point annotations.

   Ghandian S, Albarghouthi L, Nava K, Sharma SRR, Minaud L, Beckett L, Saito N, DeCarli C, Rissman RA, Teich AF, Jin LW, Dugger BN, Keiser MJ. bioRxiv. 2024 May 15.