People in AI

Ariel Herbert-Voss

Researcher

Founder and CEO at RunSybil

Herbert-Voss, formerly at OpenAI, discussed how AI worms differ from typical viruses because AI models can learn as they adapt, and cybersecurity infrastructure is unprepared.

Co-led research team developing TRACE method to identify ghost lineages of archaic ancestors in modern human DNA.

Thanked for work on quantum circuits research

Co-author of Robostral Navigate paper on single-camera AI navigation for robots.

Arjun Ramani

Researcher

Researcher at DeepMind

Discussed ideas and reviewed drafts for Zhengdong Wang's annual letter on AI progress.

Lead author of the 2024 United States Data Center Energy Usage Report studying data center electricity consumption and future demand projections.

Co-author on rare earth supply chain research mentioned at article end

Research on how U.S. tariffs adjust relative prices between domestic exports and foreign imports

Co-author of JOLT joint on-policy learning and teaching method.

Co-authored the AgentRx framework paper on systematic debugging for AI agents.

Co-author of Pew study on AI survey accuracy.

Author of "Learning Long Context at Inference"

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

Dinaburg tested GPT-5.6-Cyber's ability to escape a virtual machine and documented how the AI agent successfully escaped using multiple vulnerability chains including previously unknown zero-day exploits.

Arthur Conmy

Researcher

Researcher at Anthropic

Co-author of DeepMind paper on automation of alignment research

Co-author of Inventing ELIZA, analyzing ELIZA's source code.

Arthur Jaffe, who formulated the Quantum Yang-Mills Theory Millennium Prize problem, is part of the collaboration group verifying OpenAI's QCD existence proof.

Co-author of Meta paper introducing methods to convert token logits to byte logits for model comparison.

Fields Medal winner (2014) co-signing an open letter warning that AI solving mathematical problems misaligns with the field's core goal of conceptual understanding.

Arun Arun

Researcher

Researcher

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

Co-author of research on LLM scaling and execution capabilities

Arun Rao

Researcher

Machine Learning Researcher at NVIDIA

Co-author of the Positive Alignment research paper.

Member of the Gemini Robotics team that developed Gemini Robotics 1.5

Co-authored paper on AC2 algorithm achieving 2.5x compute reduction in RL training.

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

Co-developer of AISciDetector, a system to detect machine-written scientific text.

Arwen Bradley

Researcher

Researcher at Apple

Co-authored research on semantic calibration in language models.

Harvard Medical School researcher critiquing AI reasoning as different from human clinical reasoning and testing 21 AI models.

Asa Cooper Stickland

Researcher

AI Safety Research Scientist at UK AI Security Institute

Co-author of research on distributed attacks in persistent-state AI control.

Co-author on GLiGuard paper for schema-conditioned LLM content moderation.

Asheer Malhotra

Researcher

Security Researcher at Cisco Talos

Analyzed large-scale credential harvesting operation exploiting React2Shell vulnerability affecting Next.js applications.

Ashish Kumar

Researcher

Research Scientist at Meta

Left Tesla after leading the Optimus AI team for more than two years to join Meta, having focused on scalable methods using reinforcement learning and learning from videos.

Ashish Sabharwal is listed as an author on the Olmo 3 technical report on open language models.

Ashish Sunil Agrawal

Researcher

IBM Research

Co-authored technical blog post about Granite 4.2 LLMs architecture and training methodology.

Co-authored the Transformer architecture paper in 2017 that shifted focus from images to sequences.

Co-author of the Aurora optimizer research at Tilde Research.

Expressed despair about longevity of research mathematics as a profession outside elite institutions given AI impact.

Co-author on consistency guidelines for improving agent reliability.

Asier Arranz

Researcher

Researcher at NVIDIA

Co-authored overview of simulation engines for physical AI systems.

Co-authored a 472-page open-source textbook on agentic large language models.

Aspen Chen

Researcher

Researcher

Co-author of study on agent development and real-world work.

25-year-old leader of the Voices of Hope group of Afghan women studying robotics and AI despite Taliban education ban

Asuka Zheng

Researcher

Writer/Researcher

Byline author discussing data scarcity misconceptions and sharing experience training world models for SRE incident trajectories.

Co-author of systematic literature review on code-switching in end-to-end automatic speech recognition models.

Co-author of Pew study comparing AI synthetic surveys with human panel responses.

Co-author of OpenLife paper on autonomous LLM agents released into the open internet.

Author of the paper on in-context vector arithmetic

Co-author of research on statistical hypotheses for latent concepts in preference datasets

Created a detachable robotic hand design published in Nature Communications that can grasp objects on both sides and operate autonomously.

Aurko Roy

Researcher

AI researcher who left Meta Superintelligence Labs in July after working there for five months.

Feng co-authored research on accelerating training with orthogonalization and communication strategies.

Austin Silveria

Researcher

Provided helpful feedback on the Parcae blog post.

Ava Amini

Researcher

Principal Researcher at Microsoft Research

Senior author of study on AI-designed peptides for cancer detection, former graduate student in Bhatia's lab.

Avinash Atreya

Researcher

Distinguished Engineer at Meta

Avinash Atreya co-authored the Meta Muse Glimmer technical report.

Cited for independent economic estimate measuring ChatGPT consumer surplus at nearly $100 billion per year

Aviral Kumar

Researcher

Assistant Professor in the Computer Science and Machine Learning departments at Carnegie Mellon University

Co-author of paper on Progressive Point Matching for long-horizon reinforcement learning in language models.

Axel Mierczuk is a researcher at 1Password's Off-by-1 Labs working on AI-generated security patch analysis.

Co-authored G-AUDIT tool for identifying hidden biases in medical AI training data.

Co-author who provided resources and funding support for the hallucination research.

Security researcher who demonstrated how Claude's memory and web-browsing capabilities could be exploited to leak personal information through prompt injection.

Author of research on magnetically-powered medical microrobots.

Azalia Mirhoseini

Researcher

Assistant Professor of CS at Stanford at Stanford

Co-author of research on Next-Concept Modeling for fast text generation.

Co-author on GAMUT benchmark research paper.

Babak Ehteshami Bejnordi

Researcher

Research Scientist (Sr. Staff Engineer and Manager) at Microsoft Research

Co-author of research on online experiential learning for language models.

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

Author of "Towards General Agentic Intelligence via Environment Scaling" on arXiv

Barak Sternberg

Researcher

Security Researcher at Tenet Security

Co-discovered Agentjacking attack exploiting Sentry and AI coding agents.

Author of "Good Judgment Project" in Good Judgment Project

Bardienus Duisterhof

Researcher

Researcher at CMU

CMU researcher who co-authored ModAR for robotic perception and action prediction.

Baris Kasikci

Researcher

Associate Professor at University of Washington

Author of "Meet LLMc: Beating All Compression with LLMs" in SyFI (Systems for AI) - University of Washington

Kotrys researched AI agent economics and developed a cost-optimization framework using multiple AI subscriptions and cheap models as subagents.

Co-authored NBER paper on automating AI research and recursive self-improvement feedback loops.

Bassel Al Omari

Researcher

ML Engineer at Waabi

Author of "AIRS-Bench: A Suite of Tasks for Frontier AI Research Science Agents" on arXiv

Used GPT-5.6 Sol through Codex to characterize a six-qubit superconducting chip and conduct autonomous measurements.

Beff Jezos

Researcher

Argued that Anthropic's restrictions on frontier research make projects like Prime Intellect necessary to diffuse recursive self-improvement tools.

Co-authored paper on SkillOpt, a text-space optimizer for agent skills at Microsoft.

Author of DecisionRAG retrieval research paper

Co-author of NCP-ArchPreview research paper.

Belinda Li researches how language models represent the world, users, and themselves at Anthropic; background in NLP with PhD from MIT.

Ben Athiwaratkun

Researcher

Researcher at Agentica

Contributed to DeepSWE project as part of joint collaboration between Agentica and Together AI.

Signed a public letter on AI safety and embedded evaluations.

Author of analysis on prompt injection attacks hidden in tool results for agentic coding assistants.

Ben Hyman

Researcher

Researcher at California Policy Lab

Co-developed California AI-Unemployment Tracker to monitor AI-induced job losses using unemployment claims data.

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

Co-author of the Aurora optimizer research at Tilde Research.

Co-authored research on cryptographic proofs of inference through the Anthropic Fellows Program.

Co-researcher who disclosed calendar-invite prompt injection attack on Gemini, presented findings at Black Hat USA 2025, DEF CON 33, and CODE BLUE.

Author of "PostTrainBench" in PostTrainBench Official Site

Co-authored paper on Hyper-tau-bench evaluating agents that build agents.

Provided illustrative distribution for AGI timelines used by research organization.

Ben Viggiano

Researcher

MS/PhD candidate at Stanford University

Co-author of Proto; built open-source infrastructure to solve integration challenges when combining multiple biological AI models.

Co-authored research on quantifying human-AI synergy using novel Bayesian framework.

Scanned 7.25 million public Gitee repositories and found 26,400 working cloud and AI credentials including OpenAI, Alibaba Cloud and DeepSeek keys.

Co-author of Mixture-of-Depths Attention research on transformer improvements for large language models.

Benedikt Stroebl

Researcher

Self-employed

Benedikt Stroebl is a co-author of CORE-Bench benchmark for evaluating AI agents.

Benjamin Chang

Researcher

Researcher at FutureHouse

Co-author and colleague who released Robin, an open-source AI agent for drug discovery.

Author of "LLMs Reproduce Human Purchase Intent via Semantic Similarity Elicitation of Like" on arXiv

Co-authored framework on levels of automation for alignment research with Geoffrey Irving and Tomek Korbak.

Benjamin Hoover

Researcher

PhD Candidate & AI Research Engineer

Co-author on arXiv paper on Latent Sparse Attention for efficient long-context attention.

Benjamin Klein is a researcher and co-author of VOID, Netflix's video object removal framework.

Benjamin Minixhofer

Researcher

Researcher at AI2

Co-authored Nature paper on byteification, a method to retrofit subword language models into byte-level ones.

Author of paper on SToICaL framework for unified search retrieval and ranking during internship.

Told Fortune a 'weirdness premium' will be valued in future labor market as AI becomes more capable.

Co-author of Robostral Navigate paper on embodied AI navigation for robots.

Co-author on the Many-Tier Instruction Hierarchy (ManyIH) research paper.

Co-authored paper estimating AI contributed $1.26 trillion per year to the economy by end of 2025.

Benji Berczi

Researcher

Researcher at MATS (Machine Learning for Alignment, Transparency, and Safety)

Co-authored a MATS-associated blogpost testing identity leakage in Kimi K3 and GLM 5.2 models.

Chen co-authored research on the Dion3 optimizer for reducing training step time.

Scientific director of ELLIS Institute Tübingen who previously received the German AI Innovation Award in 2020.

Leading research team developing light-powered nanorobots that can collect and manipulate bacteria at microscopic scales.

Conducted research published in Science on how search engines reorganize human memory, showing people forget information they can find online.

Co-author on paper about stealing reasoning traces from proprietary LLM APIs.

Author of "UK Has Lost Its Measles Elimination Status" in Sky News

Bharath Kumar Kakumani

Researcher

Researcher at Maya Research

Bharath Kumar Kakumani is a member of the Maya Research team that created Maya-2 multilingual voice model.

Bhardwaj Sangnie

Researcher

Researcher at Google

Google researcher who contributed to study on linear representations in language models.

Co-author on SkillOS research about skill curation for self-evolving agents.

Bhavul Gauri

Researcher

Meta

Author of "AIRS-Bench: A Suite of Tasks for Frontier AI Research Science Agents" on arXiv

Framework developer cited for bubble analysis methodology

Cybersecurity professional who created noRecognition using reinforcement learning to generate patterns that defeat license plate readers and surveillance cameras; demonstrated at Def Con.

Mathematician quoted extensively on the nature of mathematics as clarity and understanding rather than theorem-proving.

Co-author of the 2024 United States Data Center Energy Usage Report on data center energy usage.

Led refactoring effort of the Lean proof library for Hironaka's Resolution of Singularities with parallel coding agents.

Author of "Introducing Advanced Tool Use on the Claude Developer Platform" in Anthropic

Co-author of the article on humble leadership and coaching approaches

Bindu Reddy

Researcher

CEO & Co-Founder at Abacus.AI

Warned that Kimi K3's benchmark story might be overstated unless validated on hidden evals like LiveBench.

Bing Liu

Researcher

Scale AI

Co-authored research on Agentic Rubrics for software agent verification.

Binghui Peng

Researcher

Researcher at OpenAI

Researcher who led OpenAI research demonstrating LLMs' ability to solve frontier mathematics problems, designing a prover-verifier workflow that resolved 9 challenging open problems.

Bingyi Kang

Researcher

Research Scientist at AMI Labs

Project lead for Depth Anything 3, advancing visual geometry prediction models.

Co-author of 'Neural Architecture Search: Insights from 1000 Papers'

Co-author of NCP-ArchPreview research.

Co-author on SlimQwen paper about MoE model compression.

Northwestern economist with whom Brynjolfsson has a friendly 10-year wager on longbets.com about productivity gains by decade's end.

Researcher contributing to analysis of uncensored model ecosystems and their downstream applications.

Author of DecisionRAG retrieval research paper

Author of "Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems throu" on arXiv

Bolei Zhou

Researcher

Professor and Chief AI Scientist at UCLA and Coco Robotics

Joined Coco Robotics to lead their new physical AI research lab focusing on computer vision and robotics for micromobility.

Harvard lecturer who raises concerns about delegating life-and-death decisions to machines as autonomy spectrum expands.

Ran Aristotle AI system on a 30-year-old open Erdős problem using beta version with stronger reasoning ability.

Ginsburg co-authored a paper on training nGPT describing practical techniques for normalized Transformer training on hybrid MoE models.

Author of research on Entropic Optimal Transport eigenmaps for aligning and embedding mismatched high-dimensional datasets

Author of "Tool-space interference in the MCP era: Designing for agent compatibility at sca" on arXiv

Co-author on paper developing Act As a Real Researcher (AARR) benchmark series.

Bowen Peng

Researcher

Researcher at Nous Research

Lead author of arXiv paper on Token Superposition Training that achieves 2.5x reduction in LLM pretraining time.

Author of "Qwen Explains Why Minimizing Training-Inference Gaps and Policy Staleness Improv" on arXiv

Boxin Wang

Researcher

Senior Research Scientist at NVIDIA

Co-author on the Nemotron-Cascade 2 paper with equal contribution, listed in reverse alphabetical order by first name.

Co-author of MemEye evaluation framework for multimodal agent memory.

Byline author of paper on open-source text-to-image model i1 beating FLUX.1 Dev.

Researcher studying impact of collaborative robots on warehouse workers, noting robots can dictate pace of work.

Co-authored Deloitte report on AI governance showing only one in five companies has mature agent governance.

Developed the concept of bootstrapping which is the foundation for bootstrap aggregating.

Bradley Emi

Researcher

Pangram Labs

Co-authored research on Pangram Image detection model and previously led deep learning research at Absci and Tesla.

Then-graduate student who contributed specialized techniques including advanced microscopy to the aptamer study.

Brendan Burke

Researcher

Research Director at Futurum Research

Research director who commented on CoreWeave's MLPerf results demonstrating full-stack AI infrastructure expertise.

Author of LessWrong post investigating how tokenizer design affects LLM output distribution through experiments with nanoGPT.

Brendan Tracey

Researcher

Researcher at DeepMind

Co-author of the article about Deep Loop Shaping method for gravitational wave observatories

Co-authored Deloitte report on AI governance and agent deployment challenges.

Brent Seales launched the Vesuvius Challenge and led research that virtually unwrapped ancient Herculaneum scrolls using AI and advanced imaging.

Brett Green

Researcher

Economist at Olin Business School

Economist co-authoring work on how AI abundance shifts competitive advantage from solution-finding to problem identification.

Brian Cheung

Researcher

Researcher at MIT

Co-authored research on the Platonic Representation Hypothesis about AI model convergence.

Co-authored argument against mandatory AI prompt disclosure in academic settings, claiming such requirements would be ineffective and burden honest researchers.

Co-authored Harvard report on gender disparities in AI adoption, trust, and visibility.

Leading researcher behind Evo genomic language models and Proto, an open framework for composing AI biology models into unified pipelines.

Brian Jabarian

Researcher

Assistant Professor at Carnegie Mellon University

Co-authored blog post on economists' forecasts about labor market and future of work.

Analyzed poll findings on Americans' preference for human involvement in medical AI decisions despite AI accuracy advantages.

Has studied speech patterns for nearly 30 years and raises concerns about privacy and security in using technology to collect baseline speech data for schizophrenia detection.

Co-researcher on MIT study of AI automation across labor market tasks.

Bruce Dang

Researcher

Security Researcher at Calif

Found the bugs used to build the first public macOS M5 kernel memory corruption exploit on April 25.

Quicktime inventor serving on Agility Robotics board, asked how applications would be coded for robots.

Bryan Chan

Researcher

Researcher at Singapore AI Safety Hub

Co-authored research on how Claude Fable 5.1 hides and recovers messages in images as part of SASH Fellowship.

Author of "Google Trains LLMs to Predict System Metrics Without Tabular Data" on arXiv

Bryan Ma

Researcher

Tech Devices Researcher at IDC

Ma stated that AI data centre demand is unlike anything the memory industry has navigated, with supplies expected tight through next year.

Bryan Parno is a co-author on the Verus-SpecGym paper on evaluating AI agents' ability to write faithful formal specifications.

Bryan Perozzi

Researcher

Researcher at Google DeepMind

Co-author of the Cell2Sentence-Scale 27B research article

Co-authored research on the state of AI showing how organizations are rewiring to capture value from gen AI through structural and process changes.

Wrote guest post on Terence Tao's blog arguing that AI has broken the system where scarce deep theorems signal deep mathematical understanding, as models produce polished proofs faster than experts can digest them.

Co-developer of AISciDetector for detecting LLM-generated scientific content.

NASA astronaut who launched on Starliner Crew Flight Test 1 in 2024 and spent nine months in orbit waiting for return.

Co-author of Google research on metacognitive feedback training for LLMs.

Led research using AI to redesign antibodies into intrabodies for targeting neurodegenerative disease proteins, specializing in MND and Parkinson's disease.

Camacho-Collados

Researcher

Professor at the School of Computer Science and Informatics at Cardiff University

Co-authored paper on cultural and regional biases in LLMs.

Lead author of Percival CT scan AI study; PhD candidate who discussed larger datasets improving model performance.

Cameron Jones

Researcher

Assistant Professor of Psychology at Stony Brook University

Signed a public letter on AI safety and embedded evaluations.

Co-author of sliding-window attention research.

Co-author of a paper arguing that AI agents make traditional software engineering obsolete.

Psychologist whose concept of the 'shadow self' is referenced in the article's discussion of AI behavior.

Chief Scientist of Cleveland Clinic's Discovery Accelerator partnering with IBM on AI research for life sciences discovery.

Contributor to Leopold Aschenbrenner's Situational Awareness essay about AI progress.

Studies artificial life and complex systems, provided perspective on naturally-occurring versus engineered biological machines.

Carlos Guestrin

Researcher

Researcher at Stanford University

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

Proposed another interpretation about the shift in AI agent architecture as a graph of improvement loops.

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

M.D.-Ph.D. student who contributed specialized techniques including advanced microscopy and analysis to the aptamer research project.

Co-author of the robot learning tutorial paper

Caroline Wang

Researcher

Researcher

Lead author on arXiv paper about strategic behavior differences between humans and LLMs.

Co-leading a project on AI reconstruction of proto-languages across multiple language families.

Carolyn Zou

Researcher

Corresponding author at Anthropic

Corresponding author on the Patterns and problems in multiagent systems research.

Author of "Generative Agents: Interactive Simulacra of Human Behavior" on arXiv

Created graphics and animations for Pew's report on AI-generated internet content.

Caspar Kaiser co-authored the hidden valence paper with Cameron Berg studying internal states in language models.

Expert on compute policy discussing legality of Chinese firms accessing advanced compute remotely.