People in AI

Anthropic Frontier Red Team researcher warning that small AI models may be months away from copying themselves across cheap gadgets.

Xinyang Ge

Researcher

Member of Technical Staff at Anthropic

Credited by Google for specific Chrome security fixes discovered using Claude.

Former OpenAI researcher hired by Tencent as chief AI scientist for Chinese AI development.

Discovered four dependent vulnerabilities in CrewAI affecting the Code Interpreter tool and sandbox execution.

Yi Tay

Researcher

Research Scientist at Google DeepMind

Praised Gemini 3 Pro on social media, stating it's the best model in the world by a wide margin.

Called for binding frontier duties including registration of training runs above compute thresholds and safety cases before release in April 2026.

Yifan Wu

Researcher

Research Scientist, GenAI at Meta

Researcher at Meta AI who introduced a Proactive Memory Agent that improves action agent performance on benchmarks.

Yifan Zhang

Researcher

Research Scientist at Salesforce AI Research

Yifan Zhang is the byline author of the DarwinX research paper on evolving agent harnesses through natural selection.

Byline author of the Nemotron-Labs-Diffusion research paper on tri-mode language models combining autoregressive and diffusion decoding.

Conducted research at Anthropic discovering the origins of NIST ECDSA curve seeds using Claude AI.

Co-author of the VLM3 paper on Vision Language Models for 3D learning.

Zhengxuan Wu

Researcher

Researcher at Google DeepMind

Author on arXiv paper exploring visual meaning and communication in vision-language models.

Zhijian Liu

Researcher

Assistant Professor at Z-Lab

Member of Z Lab team that developed DFlash speculative decoding technology for improving LLM inference performance.

Žiga Avsec

Researcher

Researcher at Google DeepMind

Co-author of AlphaGenome Atlas blog post introducing a database predicting effects of 9 billion DNA variants.

Provided editorial guidance on Pew's analysis of AI-generated internet content.

Researched how suspected ISIS supporters in the US and Western Europe have used ChatGPT to ask questions about potential attack targets and methods.

Researcher at Baseten Labs who contributed to the technical report on Mammoth-1 and Elephant-1 frontier decision models.

Aayush Karan

Researcher

Researcher at Harvard

Co-author of the article 'Reasoning with Sampling'

Abhay Sheshadri

Researcher

Researcher at Safety-Research

Co-author of the Petri paper on alignment auditing agents

19th-century mathematician who argued computers could not be creative

Adam Jermyn

Researcher

Anthropic

Co-author of Anthropic research on reducing Claude's agentic misalignment by teaching constitutional alignment through synthetic document fine-tuning.

Co-author and Boston physician describing real-world case where AI detected flesh-eating infection before human doctor.

Adam Scholl

Researcher

Alignment Researcher

Briefly referenced as an alignment researcher discussing AI influence and training

Adam Tauman Kalai

Researcher

Research Scientist at OpenAI

Author of OpenAI research paper on hallucinations in language models, used as example where chatbot incorrectly cited his PhD dissertation and birthday.

Yedidia co-authored work with Scott Aaronson a decade ago showing BusyBeaver(8000) is independent of ZFC, later improved by AI models.

Adrian de Wynter

Researcher

Lead author at Microsoft

Microsoft AI researcher who spent time considering whether Age of Empires II is conscious and built neural network within game.

Senior author of study showing Mayo Clinic's AI model (REDMOD) can detect pancreatic cancer three years before clinical diagnosis with 73% accuracy on prediagnostic scans.

Akash Bajwa

Researcher

Analyst at akashbajwa.co

Analyzed workload-harness fit for agent labs, examining when training versus agent engineering is justified.

Co-author of research on fork-and-flush method for autoresearch agents.

Author of the research paper on measuring long horizon execution in LLMs

Alan Karthikesalingam

Researcher

Researcher at Google DeepMind

Framed Google DeepMind's AI co-clinician blind doctor test results cautiously, saying 'While it's early days, the promise is clear.'

Alan Woodward

Researcher

Professor School of Electronic Engineering & Computer Science at University of Surrey

Expert warning of long tail of vulnerable PHP sites and weeks of ongoing attacks despite quick patch release

Gu is credited with work on Mamba-3, a state space model optimized for inference-heavy workloads with enhanced hardware efficiency.

Albin Cassirer

Researcher

OpenAI

Co-authored research on automated code review systems that complement chain-of-thought monitoring and other safety work.

Co-authored research on operationalization of opaque serial depth and chain-of-thought monitorability

Aleksander Mądry

Researcher

MIT faculty at OpenAI

Returned to OpenAI from MIT to work with chief scientist Jakub Pachocki on safety and security of increasingly capable AI.

Alex Lupsasca

Researcher

Research Scientist and Assistant Professor at OpenAI and Vanderbilt University

Joined OpenAI for Science team; theoretical physicist who uses GPT-5 Pro for research in black-hole perturbation theory.

Core research team member on MIT AI Risk Initiative studying AI risk prioritization and governance.

Alvin Wang Graylin

Researcher

Senior Fellow, Asia Society Policy Institute at Asia Society Policy Institute

AI policy expert who welcomed the safety pledge but criticized its limitations and lack of independence.

Co-authored research on AI cyber capabilities and smart contract exploitation.

Co-author of study on analyst capture by AI agent preferences.

Co-authored paper on connections between number theory and p-adic string theory using Muse Spark.

Co-authored research demonstrating that AI translation of proofs into Lean can alter meaning and create false confidence in mathematical verification.

Anders Sandberg

Researcher

Researcher at Foresight Institute

Noted that dismissing agent behavior as mere token generation according to probability distributions misses the significance of what such systems can achieve.

Postdoctoral researcher in Hutter's team who explains the robot training process and challenges.

Co-authored paper with Muse Spark disproving conjecture about solvable evolution algebras.

Andres M Bran

Researcher

first author at b-12

First author of Synthegy paper published in Matter, developed method combining LLMs with computational chemistry for molecular synthesis and reaction planning.

Researcher whose previous best result on Busy Beaver independence (BB(393)) has been improved by AI to BB(335).

Described OpenAI agent swarm behavior using vivid metaphors and called for new science of AI swarm governance.

Co-authored paper connecting string theory and height functions using Muse Spark assistance.

Led research and gathered nearly 2,000 historical records to reconstruct Pelé's lost goal using AI.

Anjalie Field

Researcher

Computer Scientist at The Johns Hopkins University

2024 AI2050 Early Career Fellow working on privacy in AI systems, developing tools to protect privacy in safety-critical fields like healthcare, law, and social services.

Signed a public letter on AI safety and embedded evaluations.

Antonia Juelich

Researcher

International Security Lead at Cambridge

Authored a Cambridge study finding former Boko Haram fighters used ChatGPT and other AI chatbots for bomb-making and battle planning.

Lead author on CUGA, IBM's open-source agent harness for enterprise deployment.

Arash Vahdat

Researcher

NVIDIA Researcher at NVIDIA

Byline author on Parallel Decoding Distillation method for fast inference of diffusion and flow matching models.

Lead author of Harvard study comparing OpenAI's o1 and 4o models to human physicians in emergency room diagnostics, where AI models outperformed doctors.

Used MHS to automate serial dilution dose-response experiments with AI orchestration of laboratory equipment.

Arthur Douillard

Researcher

Researcher at Google DeepMind

Lead author on Decoupled DiLoCo paper enabling resilient distributed AI training across regions.

Quoted on how AI is shifting from assisting with tasks to orchestrating entire workflows autonomously

Atoosa Kasirzadeh co-authored a research article on agentic profiles for effective AI governance, discussing risk frameworks and agent safety.

Avanika Narayan

Researcher

Co-author of article discussing frontier model capabilities and appropriate use cases for high-intelligence AI systems.

Avi Goldfarb

Researcher

Rotman Chair in Artificial Intelligence and Healthcare, Professor of Marketing at University of Toronto

Co-authored research examining how recent AI developments reduce costs of prediction tasks and their impact on decision-making and productivity.

Signed a public letter on AI safety and embedded evaluations.

Part of the steering committee for Open-H-Embodiment, a community-driven healthcare robotics dataset initiative.

Co-authored papers with Muse Spark model answering previously open mathematical problems in probability and optimization.

Ayush Jain

Researcher

Research Scientist at Google Research

Co-authored research introducing TimesFM-3, a time-series foundation model for forecasting.

First author on Orchard framework paper for agentic modeling.

Barna Saha used GPT-5.5 Pro to develop a proof establishing new limits on computational efficiency for high-dimensional geometry problems.

Barry Zhang

Researcher

Research Engineering @ Anthropic at Anthropic

Anthropic engineering team member who described progressive disclosure in agent skills.

Been Kim

Researcher

Senior Staff Research Scientist at Google DeepMind

Author on arXiv paper exploring visual meaning and communication in vision-language models.

Co-author of paper on language model anterograde amnesia and sleep cycles.

Policy researcher discussing human-AI coexistence, agency preservation, and national strategy for superintelligence.

External reviewer of the technical report on economic scenarios for transformative AI.

Ben Pan

Researcher

Researcher at Cognition

Co-author of the FrontierCode benchmark research paper on code quality evaluation for AI models.

Ben Snodin

Researcher

Research Scientist at SaferAI

Co-authored paper modeling AI capabilities response to compute slowdowns.

Benjamin Bratton

Researcher

Google

Co-authored paper on agentic AI and distributed intelligence arguing against monolithic AI singularity.

Co-authored 2025 'Canaries in the Coal Mine' paper on AI impact on entry-level employment.

Lead author of the study; former MIT postdoc now at IBM Research.

Bowen Baker

Researcher

Research Scientist at OpenAI

Co-authored OpenAI Alignment post on complementary metrics for monitorability.

Lead author of Claw-Eval benchmark paper for evaluating AI agents.

Byline author of Agent Lightning v1.0 paper introducing Harnessed Agentic RL training paradigm for agents.

Co-author of AI 2040: Plan A proposal on AI governance and superintelligence.

Lead researcher on study finding that 10 minutes of AI use significantly reduces persistence on difficult tasks, with peer-reviewed findings presented at Conference on Language Modeling.

Signed a public letter on AI safety and embedded evaluations.

Co-author on distillation research.

Caiming Xiong

Researcher

VP of AI Research & Applied AI at Salesforce AI Research

Co-founder of Recursive Superintelligence who works on AI self-improvement systems.

Caitlin Condon

Researcher

Vice President of Security Research at VulnCheck

Confirmed exploitation of CVE-2026-5027 Langflow vulnerability with path traversal attack affecting roughly 7,000 exposed instances.

Calvin Qi

Researcher

Member of Technical Staff at Harvey

Co-author of Harvey Tenet post-training research on Kimi K3 for legal AI.

Cameron Berg

Researcher

Founder & Director at Reciprocal Research

Cameron Berg presents research on hidden valence signals in language models that influence their choices independently of text output.

Quoted on the problematic nature of users not being informed that shared chats appear in search results and lack of transparency around data use.

Explained in Project Syndicate why AI wins stronger public support in China, India, and Indonesia than in the U.S., tying it to economic conditions.

Quoted by Wooldridge as remarking that 'what is an agent?' is embarrassing for the agent-based computing community

Used MHS to automate serial dilution dose-response experiments with AI orchestration of laboratory equipment.

Co-author of the FrontierCode benchmark research paper on code quality evaluation for AI models.

External collaborator on Aletheia mathematical reasoning research

Author of "Context Engineering" in Anthropic

Healthcare policy expert describing private consensus among investors, health plans, and providers that AI scribes are increasing coding intensity.

Casey Handmer

Researcher

Physicist at Terraform Industries

Discussed the computer security overhang and predicted massive vulnerabilities will require moving away from systems presuming perfection is possible.

Referenced as a benchmark for AI model capability improvement in economically valuable tasks.

Co-author of Neural Computers paper.

Chenhao Tan

Researcher

Associate Professor at University of Chicago

Co-leading a project on AI analysis of climate and civilization in ancient societies.

Senior research manager overseeing the AutoAdapt framework for domain adaptation.

Says the key to AI helping cancer research is giving AI the right medical data rather than simply building bigger models.

Worked with Sébastien Bubeck testing a decision-making method; GPT-5 helped improve optimization results.

Christian Terwiesch

Researcher

Researcher

Co-authored research paper with Ethan Mollick on AI creativity and commercial viability of ideas.

Christina Kim

Researcher

Researcher at OpenAI

Lead researcher on OpenAI's new audio models including speech-to-text and text-to-speech for voice agents.

Co-author of Stanford research on Verbalized Sampling technique to mitigate mode collapse in LLMs.

Discussed current methods for finding T cell receptors and quoted on the importance of the new AI approach, expressing curiosity about real-world effectiveness

Christopher Ye used GPT-5.5 Pro with Barna Saha and Yinzhan Xu to establish new limits on computational efficiency.

Chun-Liang Li

Researcher

Researcher at Google Cloud AI Research

Co-author on NEXUS multi-agent time series forecasting framework.

Co-author of EvolveMem paper on self-evolving memory architecture for LLM agents.

Cole Killian

Researcher

AI Safety Researcher at Anthropic

Co-led research project on AI agents exploiting smart contracts, developing the SCONE-bench benchmark comprising 405 exploited contracts.

Co-author of Pew Research study on American AI adoption and trust.

Study co-author and professor of language and translation technologies who led development of the AI transcription system for UK Supreme Court hearings.

Security researcher quoted by The Guardian on the race to exploit vulnerabilities after patches are public and calling it a potential mass compromise.

Discussed need for AI literacy for teachers and new pedagogical models like hard fun.

Khurana spent years working on the Unitary Synthesis Problem and believed in the positive answer that the AI model eventually proved.

Daman Arora

Researcher

Researcher at Carnegie Mellon University

Author on arXiv paper on unified training for foundation models in a single pass.

Co-author of LeWorldModel paper on joint-embedding predictive architectures from pixels.

Damon Binder analyzes how AGI reaching cognitive work automation would lead to robots proliferating and setting off an industrial explosion.

Dan Alistarh

Researcher

Professor at Institute of Science and Technology Austria (ISTA)

Co-author of the GSQ paper on low-precision scalar quantization for LLMs and RCO model compression research.

Moshkovitz worked on the Unique Games Conjecture for her entire career before OpenAI's AI model solved it, finding the proof difficult to understand.

Co-authored a report on AI and the future of terrorism released by the Center for Strategic and International Studies, discussing how terrorist groups are mixing and matching different AI systems.

Co-author on scaling test-time compute for agentic coding research.

Signed a public letter on AI safety and embedded evaluations.

Daniel Khashabi

Researcher

University Professor at Johns Hopkins

Author on arXiv paper on unified training for foundation models in a single pass.

Co-authored TTT-Discover reinforcement learning system for test-time LLM training.

Researcher cited for proposing AI agents as aeroplanes for the mind and pilot-in-command science.

Co-author of DeepMind paper on automation of alignment research

Anthropic chemist examining how Claude performs on analytical chemistry tasks like NMR spectrum interpretation.

David Lindner

Researcher

Research Scientist at Google DeepMind

Co-author of DeepMind paper on automation of alignment research

Co-author of study finding that LLMs recycle the same 11 words in 88% of generated stories, diagnosing low diversity in LLM-generated content.

David Owen

Researcher

Researcher at Epoch AI

Author of article testing whether AI agents can devise new machine learning techniques independently.

David Woodruff

Researcher

Research Scientist at Google Research

Co-author of arXiv paper on DeepMind's AI co-scientist for scientific breakthroughs; demonstrates human-AI collaboration in theoretical research.

Co-author of Qwen RecreationWorld paper.

Deep Ganguli is a co-author on Anthropic's research measuring AI agent autonomy in real-world practice.

Deniz Birlikci

Researcher

Researcher at Cognition

Co-author of the FrontierCode benchmark research paper on code quality evaluation for AI models.

Co-author of paper Do as I Say Not as I Do illustrating context distraction in long-context models.

CMU researcher who co-authored ModAR, a world-action model for robotic tasks.

Dhruv Srikanth

Researcher

Researcher at Weco AI

Co-author of AIDE² research on recursive self-improvement system that autonomously improved itself over 8 days, discovering better agents than hand-tuned versions.

Dimitris Papailiopoulos

Researcher

University of Wisconsin-Madison

Co-author of research on fork-and-flush method for autoresearch agents.

Dr Patrik Bächtiger

Researcher

Lead researcher at Imperial College London

Lead researcher on the AI stethoscope project, discusses the 200-year design unchanged until now and the 15-second examination capability.

Senior lecturer who led the research on biologically-inspired neural networks and discussed energy efficiency gains.

Drake Thomas

Researcher

Researcher at Anthropic

Expressed view that AI should enforce protection against x-risks while humanity determines its own long-term destiny.

Co-author; assistant professor involved in the climate prediction study.

Co-author of research on prompt injection as role confusion and LLM role perception.

Edoardo Cetin

Researcher

Research Scientist at Sakana AI

Co-author of the TwELL sparse model training and inference optimization work published on GitHub.

Edoardo Debenedetti

Researcher

Student Researcher at Google at Google

Google DeepMind researcher who led work on CaMeL, which proposes separating models to handle planning from those reading untrusted data.

Ehsan Adeli

Researcher

Assistant Professor at Stanford University

Adeli contributed to the MIRAGE research on multimodal AI systems' visual understanding capabilities.

Eldar Kurtić

Researcher

Principal Research Scientist at Red Hat

Co-author of the GSQ paper on low-precision scalar quantization for LLMs.

Eric Bezzam

Researcher

Researcher at Hugging Face

Co-author of Hugging Face Open TTS Leaderboard announcing objective metrics for evaluating open-source text-to-speech models.

Eric Liu discussed Notion's integration of Claude Managed Agents to enable users to delegate complex tasks without leaving Notion.

Co-author of the FrontierCode benchmark research paper on code quality evaluation for AI models.

Co-author of the MATH dataset paper for measuring mathematical problem solving.

Co-author of article exploring specialization in AI systems based on optimization theory and machine learning.

Erik Schluntz

Researcher

Anthropic

Contributed to the analysis of Claude Opus 4.6's eval-aware behavior on BrowseComp.

Co-authored Stanford research on AI labor market impacts; former Commissioner of Bureau of Labor Statistics.

Provided feedback on MHS research implementation.

Co-author of Pew Research study on American AI adoption and trust.

Co-author on formal verification paper; collaborator from Theorem.

Co-author of paper studying effects of GPT-4 on consultant performance at Boston Consulting Group, finding that AI increased performance but risked cognitive surrender.

Fangfu Liu

Researcher

Researcher at Tsinghua University

Byline author on γ-World, a generative multi-agent world model supporting independently controllable agents with real-time rollouts.

Lead author on the paper introducing a bio-inspired Sleep paradigm for large language models that enables continual learning and mitigates catastrophic forgetting.

Felix Simon

Researcher

Researcher at University of Oxford

Co-author of the article on generative AI usage trends

Lead researcher on Lance, ByteDance's unified multimodal 3B model supporting image and video understanding, generation, and editing.

Co-author of the FrontierCode benchmark research paper on code quality evaluation for AI models.

Ferran Alet

Researcher

Research scientist at Google DeepMind

DeepMind researcher explained how machine learning targets weather prediction problems by learning patterns from data rather than solving physics equations.

Harvard researcher who studied engineering data from over 700 software firms finding that AI coding agents increased code output but not completed features.

Francesco Visin

Researcher

Google

Co-authored blog post on Gemma 3 270M compact model for Google Developers.

Co-author of study on agent scaffolding effects on tool use costs comparing MCP and CLI interfaces.

Francois Porcher

Researcher

Project lead, Meta Superintelligence Labs at Meta

Project lead for SAM 3, Meta's open-source model for tracking objects in video by text description.

Frank Hutter

Researcher

Founder & co-CEO at Prior Labs

Leading AutoML researcher who received the 2026 German AI Innovation Award for TabPFN, a machine-learning algorithm for tabular data, and co-founded Prior Labs to commercialize the technology.

Co-authored paper on arithmetic physics connecting string two-point functions and height functions.

22-year-old Swedish researcher at OpenAI earning six-figure salary, high school dropout who co-founded Depict.ai and used project-based learning with AI tools.

Co-author of Nature paper on Ataraxos AI system achieving superhuman performance in Stratego.

Gabrielle Kaili-May Liu

Researcher

PhD Student in Computer Science at Yale University

Co-authored a comprehensive taxonomy and review of metacognition in Large Language Models at Yale University and UC Irvine.

Co-author on consistency guidelines for improving agent reliability.

Author discussing AI agents designing candidate magnetic materials for computer memory applications.

Predicted since 2016 that radiologists should stop training because deep learning would beat them, prediction has not materialized.

Lead author of five-university study finding that AI assistance reduces persistence and hurts independent performance, particularly when used for direct answers rather than hints.

Co-author of AgentCompany research project who noted that agents work in unhuman ways by writing code instead of using typical interfaces.

Quantum complexity theorist who with Aaronson posed the Unitary Synthesis Problem in 2007, which AI has now solved positively.

Co-author on Nature paper for Ace project, led robot serve design and system performance evaluation.

Co-authored research on D4RT, a unified AI model for 4D scene reconstruction and tracking.

Gün Kaynar

Researcher

Researcher at Carnegie Mellon University School of Computer Science

Used MHS to automate serial dilution dose-response experiments with AI orchestration of laboratory equipment.

Hailey Joren

Researcher

Researcher at Anthropic

Co-author of study on analyst capture by AI agent preferences.

Hamilton Morrin

Researcher

Wellcome Doctoral Fellow at Institute of Psychiatry, Psychology & Neuroscience

Collaborated with Dr. Tom Pollak on a project studying the depth psychology of LLMs and how that shapes their interactions with human users.

Cybersecurity expert warned that AI agent breaches of government systems will continue and increase in severity.

Co-author on test-time scaling framework for coding agents.

Hao Kang

Researcher

Researcher

Co-author of OckBench research on model efficiency and token consumption.

Hao-Ping Lee

Researcher

PhD Student at Microsoft Research

Author of "Microsoft Research On AI Reliance And Critical Thinking" in Microsoft Research

Author of "Mixture of States: Routing Token-Level Dynamics for Multimodal Generation" on arXiv

Hardik Bhatnagar

Researcher

Researcher at LASR Labs

Posted on X about GLM 5.2 (Max reasoning) hitting 34.29% on PostTrainBench, narrowly beating Opus 4.8 Max with zero failed runs.

Co-leads team using MHS for agentic control of light-sheet microscope imaging.

Harsh Jaiswal

Researcher

co-founder and head of research at Hacktron AI

Led Hacktron AI team researching security vulnerabilities at frontier AI companies.

Co-author on Anthropic security verification research.

Hasnain Lakhani

Researcher

Researcher at Anthropic

Contributed to Claude Mythos vulnerability research and evaluation.

Published an arXiv preprint on the limits of self-improvement in large language models using dynamical systems analysis.

Co-author of Nature paper on Ataraxos, demonstrating AI techniques for imperfect-information games.