Stanford University
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Ana De Almeida Amaral
Senior Producer, Stanford Storytelling Project
Staff, Stanford Storytelling ProjectBioAna De Almeida Amaral (she/her) is an award-winning journalist, audio producer, and storyteller from San Diego, California. She's long been passionate about using storytelling as a liberatory tool to document the experiences of queer and Latino communities. Ana graduated from Stanford with a B.A. in Comparative Studies in Race and Ethnicity.
Ana produced KQED’s first Latino culture podcast, Hyphenación, and has worked telling stories about the US-Mexico borderlands on Cruzando Líneas. As a journalist, Ana has reported on the oldest lesbian bar in San Francisco, the history of queer policing in the Bay Area, and on state violence in Chile.
Ana is a Senior Producer at the Stanford Storytelling Project where she oversees production of the State of the Human podcast. She also trains and supports students building audio production and storytelling skills. -
Igor Daniel de Araujo Evangelista
Postdoctoral Scholar, Photon Science, SLAC
BioDr. Evangelista's primary research focus lies in computational modeling and theoretical analysis of semiconductor materials using advanced quantum mechanical methods, including Density Functional Theory, Quantum Monte Carlo, and ab-initio Molecular Dynamics. Evangelista investigates the electronic, structural, and mechanical properties of materials, collaborating closely with experimental groups to bridge theoretical predictions with empirical results. He is also interested in the development of empirical potentials and enhancing materials modeling through the application of machine learning techniques.
Evangelista entered the Department of Materials Science and Engineering at the University of Delaware as a Ph.D. candidate in 2018, after completing an master degree in Physics 2016-2018 at Federal Fluminense University (Brazil). Recent work includes collaborations with experimental groups to bridge theoretical predictions with empirical results, as well as applying machine learning to creating of empirical potentials to accelerate materials modeling. Evangelista has also contributed to understanding electron mobility in metal-oxide semiconductors and strain effects in two-dimensional materials. These studies showcase his expertise in electronic structure and materials design for next-generation semiconductor technologies.
