Physicist Websites

Olivia Guest is an Assistant Professor of Computational Cognitive Science in the Department of Cognitive Science and Artificial Intelligence in the Donders Centre for Cognition and the School of Artificial Intelligence at Radboud University in the Netherlands. Her research interests comprise (meta)theoretical, critical, and radical perspectives on the neuro-, computational, and cognitive sciences broadly construed. Olivia is committed to equity, diversity, and inclusion in (open) science, promoting access to technical skills training — including the broader decolonisation of cognitive and computational sciences. She emigrated from Cyprus to the United Kingdom in 2006 to pursue an undergraduate degree in Computer Science (2009; University of York, UK), followed by an MSc in Cognitive and Decision Sciences (2010; University College London, UK) and a PhD in Psychological Sciences (2014; Birkbeck, UK).

Daniel Mejía Raigosa is a physicist and full-stack developer at Titan Intake. With over 5 years of freelance programming experience, Daniel brings a scientific background to crafting creative solutions. He is an empathetic team player who believes in mutual cooperation. Daniel is also an intermittent blogger and is currently working on personal projects to improve his skills in NextJS and Golang. His academic interests include biological systems, electrophysiology, and systems biology.

Timothy Nguyen is interested in how things work, mathematical elegance, and clear thinking. He received his B.S. and Ph.D in mathematics from Caltech and MIT. He was a Research Assistant Professor at the Simons Center for Geometry and Physics (2011-2014) and then a Visiting Assistant Professor at Michigan State University (2014-2017). During these years, his research interests expanded into high-energy physics, where he investigated mathematical problems underlying quantum field theory. Most notably, his work provides a formulation of perturbative path integrals that simplifies and corrects prevailing conventional treatments. Since mid-2017, he’s been working on machine learning in industry. Presently, he is at DeepMind where he works on both fundamental research and solving real-world problems using deep learning. He grew up in the San Francisco bay area and currently lives in London.

Adam Jermyn is a Boston-based physicist working on AI safety. He believes advanced AI will be a transformative technology soon and wants to ensure that transformation goes well. His current interests are on inner alignment and interpretability of neural networks. Previously, he was a Research Fellow at the Flatiron Institute’s Center for Computational Astrophysics (2019-22) and a Postdoctoral Scholar at the Kavli Institute for Theoretical Physics at UCSB (2018-19). He holds a BS in Physics from Caltech (2015) and a PhD in Astronomy from the University of Cambridge (2018). In his spare time, he writes science fiction short stories and paints, mostly with acrylics.

Steve Byrnes is a Boston-area physicist working on Artificial General Intelligence safety research, also known as AI Alignment. His work involves thinking about neuroscience and algorithms. He is currently working at Astera. From 2015 to 2021, he worked as a professional physicist at Draper, a nonprofit R&D laboratory in the Boston area, where he worked on algorithms, system design, simulations, and trade studies across many domains. From 2012 to 2015, he was a physics postdoc in Federico Capasso’s applied physics laboratory at Harvard University, doing theoretical and experimental research in thermodynamics and optics. He earned a Physics PhD at the University of California, Berkeley from 2007 to 2012. He graduated summa cum laude from Harvard University in 2007 with a B.A. in Physics and Math. He was a winner of both the USA Math Olympiad and the USA Physics Olympiad, and he won first place nationally in the Siemens Westinghouse Competition with a math project.