Sina Ghandian

Research Data Analyst

Sina graduated from UC Berkeley with a B.S. in Bioengineering and a concentration in data science. As an undergraduate, his research laid 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 is interested in exploring different applications of deep learning in biology; his current research focus is in neuropathology. In his free time, he enjoys exploring the Bay Area food scene, cooking new recipes, and trying new board games with friends.

Lab papers

1. Machine-learning convergent melanocytic morphology despite noisy archival slides.

   Tada M, Gaskins G, Ghandian S, Mew N, Keiser MJ, Keiser ES. bioRxiv. 2024 Sep 12.

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.