People

Dr. Brent has led independent research groups since 1985, starting at Harvard/MGH.  With Sydney Brenner, he helped start the Molecular Sciences Institute in Berkeley (1997) and ran it from 2001 to 2009.  He moved to the Division of Basic Sciences at the Fred Hutchinson Cancer Center, where he is a Senior Fellow in Science Studies.  He is known for work in the 1980s that established the modular nature of transcription regulators, and for much later work including contributions to understanding biology via protein interactions, the quantitative physiology of intracellular signaling, and contributions to systems biology.  For over 25 years he has advised US government bodies on defense against biological attack and emerging infectious disease.  In June 2024 he closed his biological laboratory to commit fully to AI × bio safety.  He lives in Seattle, Washington.

Michael Marletta is a biochemist.  He is known for many things, but perhaps best known for his work on the biochemistry and enzymology of nitric oxide (NO).  This work showed how NO was synthesized and mapped out the cellular machinery and chemical pathways through which it exerts its physiological effects.  He has decades of experience advising the US government on matters related to security and follows developments in AI closely.  He lives in Berkeley, California.

Alejandro Colman-Lerner is a geneticist and biophysicist, known for elucidating how cell-surface G-protein-coupled receptors can calculate the amount of ligand that binds them and transmit the fraction occupied to the decision-making machinery inside the cell (Bush et al., 2016).  He is a tenured researcher at the Argentinian National Scientific and Technical Research Council (CONICET) and the University of Buenos Aires.  Colman-Lerner is a close student of developments in AI, how those impact his scientific research program, how AI is developing in general, and how that development impacts the current security situation.  He lives in Buenos Aires, Argentina.

Oleg Serikov's PhD is on interpretability, particularly where and when linguistic competences emerge in LLMs.  Oleg's interpretability framework was adopted by the BLOOM LLM megaproject; his research is published in Nature Scientific Data and at leading NLP interpretability venues.  At Palisade Research, Oleg led the AI safety team whose demonstrations reached millions of viewers.  He also kicked off King Abdullah University of Science and Technology's (KAUST's) "sovereign LLM" program — training the team, running the first experiments, and planning the five-year roadmap that secured the project's long-term funding.  Before leaving Russia, Oleg carried out grant-funded AI interpretability research at AIRI (Artificial Intelligence Research Institute) and the Moscow Institute of Physics and Technology ("Phystech"), and developed agentic AI assistants, reaching semi-finals of the Amazon Alexa Prize.  He lives in Tbilisi, Georgia, and plans to live in London.

Reworr is an AI-security researcher who works and publishes under that name.  He is known for his work with Volkov on the "LLM Agent Honeypot," which monitors contacts with exposed systems by autonomous AI hacking agents.  His work helped inspire the license plate readers here.  He is also known for work showing how LLM agents can hack computer systems and replicate themselves across networks.  He has deep experience in penetration testing, vulnerability research, and red-teaming frontier models.  He lives in London.

Dmitrii advises on security engineering, honeypot continuity, and Palisade infrastructure interfaces.  His prior work includes the LLM Agent Honeypot (Volkov et al., 2024), which has captured and analyzed over 1.7 million interactions across 10 countries, and Biollama (Volkov et al., 2025), testing whether LLMs can be fine-tuned into biology lab assistants.  He lives in San Francisco.