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Salvador Marrod Cruz, M.Sc.
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Showing 1101-1150 of 4525 results
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Hafsa Ahmed is a Grants Associate on Coefficient Giving's Grants Management team. She joined in January 2025 after working in a variety of UK and US non-profit operations roles and leading a youth mental health startup in the UAE. She holds an MSc in International Social and Public Policy (Development) from the London School of Economics.
Northeastern University is a private R1 research university in Boston, Massachusetts, home to notable AI safety and mechanistic interpretability research through its Khoury College of Computer Sciences and Institute for Experiential AI.
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Daniel Privitera is the founder and Executive Director of the KIRA Center, an independent AI policy non-profit based in Berlin. He serves as Lead Writer of the International AI Safety Report, which is backed by dozens of governments and international organisations, and holds a master’s degree in economics from the University of Oxford with work at the intersection of economic research and machine learning.
Casey is an Operations Associate at Giving What We Can, helping to ensure smooth operations across the organisation. She brings broad experience from work with peak bodies, universities, research institutes and international organisations across Australia and Europe, and holds a Master of Public Health from the University of New South Wales plus bachelor’s degrees in Psychology and Anthropology from the University of Sydney.
AI policy lead at Observatorio de Riesgos Catastróficos Globales, working on EU AI regulation, international governance, and large-scale AI risk assessments.
Roger Grosse is a Director of The AI Safety Foundation and an Associate Professor of Computer Science at the University of Toronto, where he holds the Schwartz Reisman Chair in Technology and Society and a Canada CIFAR AI Chair. His research focuses on deep learning, neural network training dynamics and AI alignment, and he also works on alignment and training-data attribution as a member of Anthropic’s Alignment Science team.
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Mehmet Sencan is the CEO of Earendil, with work spanning medical devices, biosensors, nanofabrication and optics.
Haskell programmer
Iván Godoy is an AI safety researcher who received a grant to dedicate six months full-time to upskilling and AI alignment research, with a tentative focus on agent foundations. A LessWrong account under the handle "ivan-godoy" was created in September 2025, suggesting recent entry into the AI safety community. The small grant amount ($6,000 for six months of salary support) indicates Godoy is likely based in Latin America where living costs are lower. Beyond these details, limited public information is available about Godoy's background, prior roles, or research output at this time.
angel biotech investor, former quantitative trader
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Nick Hay is an AI alignment researcher and co-founder of Encultured AI, an alignment-focused startup developing platforms for AI safety experiments. He holds a PhD from UC Berkeley (2015), where he studied metalevel control under Professor Stuart Russell, applying reinforcement learning and Bayesian analysis to how agents can learn to control their own computations. Before co-founding Encultured AI, he spent five years at Vicarious AI working on AGI approaches grounded in robotics and served as a technical researcher at the Machine Intelligence Research Institute (2017-2021). In 2021 he received a $150,000 grant from the Long-Term Future Fund to design and implement simulations of human cultural acquisition as both an analog of and testbed for AI alignment, working as a visiting scholar at CHAI advised by Andrew Critch and Stuart Russell. His research interests span reinforcement learning, value alignment, and using cultural acquisition dynamics as a lens for understanding how AI systems can learn human-compatible behavior. He first engaged with AI safety upon reading Eliezer Yudkowsky's Creating Friendly AI in 2001, interning at MIRI in 2006 and attending the Singularity Summit in 2007.
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Compute Funding
1-year stipend and compute for conducting a research project focused on AI safety via debate in the context of LLMs.
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6-month stipend to work on AI alignment research (automated redteaming, interpretability)
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Research Director at the Collective Intelligence Project and a neuroscientist focused on emerging technologies and the science of collectivity, following a 15‑year academic career and leadership roles at Irrational Labs and the Social Science Observatory.
Aether is an independent research lab focused on LLM agent safety, conducting technical research on the alignment, control, and evaluation of large language model agents.
Leveraging AI to enable coordination without demanding centralization
London-based for-profit AI safety company working on Cognitive Emulation, an approach to building controllable, bounded AI systems that reason transparently.
MSCS Graduate Student at UMass
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Independent researcher trying to make the world better place through my efforts
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Emre Yavuz is Director of Programs at the Cambridge Boston Alignment Initiative, where he leads CBAI’s research fellowship portfolio. He also serves as a research volunteer with MIT’s AI Risk Initiative, applying insights from political science and macroeconomics to frontier AI governance and risk.
Michael E. Leiter is chair of the RAND Corporation’s Board of Trustees and a partner at Skadden, Arps, Slate, Meagher & Flom LLP, where he leads the firm’s national security-focused practice. He previously served as director of the United States National Counterterrorism Center (NCTC) and has held senior roles across government and the private sector dealing with national security, intelligence, and cybersecurity matters.
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Building towards a "Limited Agent Foundations" thesis on mild optimization and corrigibility
Keith Wynroe is an independent mechanistic interpretability researcher focused on attention layers in transformer models. He graduated from Trinity College, Cambridge with double first class honours and previously worked as a Research Analyst at the Forethought Foundation for Global Priorities Research, William MacAskill's global priorities research organization. He participated in the SERI MATS (ML Alignment & Theory Scholars) program, working in Lee Sharkey's stream during the Winter 2023-24 cohort, and received LTFF grants to continue independent research afterward. His research outputs include "An OV-Coherent Toy Model of Attention Head Superposition" (co-authored with Lauren Greenspan, 2023) and "Decomposing the QK Circuit with Bilinear Sparse Dictionary Learning" (co-authored with Lee Sharkey, 2024), which applies bilinear sparse dictionary learning methods to understand how query and key features interact in attention circuits.
