Stanford University
Showing 541-550 of 2,677 Results
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José Ramón Enríquez
Postdoctoral Scholar, Business
BioI am a postdoctoral fellow at the Golub Capital Social Impact Lab and the Stanford Digital Economy Lab, where I collaborate with Susan Athey, Erik Brynjolfsson, and Sandy Pentland.
I study how digital technologies enhance governance—and therefore prosperity—in developing contexts. My recent work is centered on reducing misinformation sharing and enhancing online deliberation through the use of Generative AI.
I received my Ph.D. in Political Economy and Government (PEG) from Harvard. I graduated from Instituto Tecnológico Autónomo de México (ITAM) in Mexico City with a B.A. in Economics and a B.A. in Political Science. -
Ahmet Görkem Er
Postdoctoral Scholar, Radiology
BioAhmet Görkem Er, M.D., Ph.D., is a physician-scientist and postdoctoral fellow in Integrative Biomedical Imaging Informatics (IBIIS) at Stanford University. He graduated from Istanbul University Faculty of Medicine and completed dual residency training in internal medicine and infectious diseases and clinical microbiology at Hacettepe University. He also has a Ph.D. in medical informatics from Middle East Technical University.
As a Fulbright Ph.D. Dissertation Research Grantee (2022–2023), Dr. Er conducted research at the Stanford Center for Biomedical Informatics Research, focusing on multimodal data integration in COVID-19 patients. This work resulted in a publication in NPJ Digital Medicine demonstrating the value of combining clinical, imaging, and viral genomic data for improved disease modeling. He returned to Stanford in 2024 as a visiting researcher and is currently a postdoctoral fellow, where he combines his clinical background with advanced computational methods.
Dr. Er’s research focuses on developing artificial intelligence and multimodal data fusion approaches for complex diseases. His work integrates a broad spectrum of inputs, including medical imaging, histopathology, clinical data, genomics, and spatial transcriptomics, to improve patient stratification and support data-driven clinical decision-making.
