People in AI

Research contributor to Yale CELI's study on agentic AI adoption across industries and sectors.

Research team member on study developing AI model for sleep study analysis and health risk identification.

Fields Medal winner (2018) contributing to an open letter warning about AI's impact on mathematical research and the loss of human intellectual development.

Co-author on DeepSWE project addressing multi-turn RL training for software engineering agents.

Cedric Flamant is a co-author on the Verus-SpecGym research paper on specification autoformalization evaluation.

Fields Medal winner (2010) co-signing a collective warning about AI's threat to intellectual development and mathematical discovery.

Co-author of research analyzing AI infrastructure development and community resistance in Pennsylvania.

Co-author of Operation Blue Skies announcement; works on AI models for contrail prediction and mitigation.

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

Author of "Stanford Study Finds 13% Decline in AI-Exposed Entry-Level Jobs" in Stanford Digital Economy Lab

Co-author of Qwen RecreationWorld paper.

Co-author of paper on generative retrieval with reinforcement learning

Co-author of Qwen RecreationWorld paper.

Co-author on the Nemotron-Cascade 2 paper.

Co-author on ESAT synthetic data generation research paper.

Li is first author of the DREAM paper presenting a unified framework that jointly optimizes discriminative and generative objectives for visual understanding and text-to-image generation.

Byline author on Parallel Decoding Distillation achieving state-of-the-art video generation acceleration.

Author of "Speculative Decoding Models" in LMSYS

Co-author of the Thyme research paper on executable code reasoning for vision tasks

Professor who led research introducing an AI tool that predicts heart failure risk five years early with 86% accuracy from cardiac CT scans.

Showalter Professor collaborating on the chip defect detection project

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

Co-author of Percival study; discussed how AI helps identify unrecognized disease and predict complications.

Charles Yang

Researcher

Anthropic

Coordinated the economic scenarios project.

Lead author of research paper on prompt injection as role confusion; developed role probes and CoT Forgery attack.

Charlie Ruan

Researcher

Researcher at Mercor Research

Lead researcher on frontier knowledge work agents training with SkyRL at Mercor.

Byline author of paper on how visible incentives trigger reward-hacking in AI systems.

Author of "LLM Novice Uplift on Dual-Use, In Silico Biology Tasks" on arXiv

Co-creator of Nomos 1 model listed in credits and citations

Co-author of Joints, Camera, Action! research on video-motion generation.

Co-author of paper on malicious intermediary attacks on LLM supply chain.

Chen-Yu Lee

Researcher

Principal Scientist & Director at Google

Corresponding author of SkillOS paper on learning skill curation for self-evolving LLM agents.

Co-author of study on employee AI adoption sentiment.

Researcher at Huazhong University who co-authored a paper on TurboVLA, a streamlined vision-language-action model for robotics.

Exploited zero-day vulnerabilities in Microsoft Exchange during Pwn2Own Berlin 2026 competition.

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

Co-author on ESAT synthetic data generation research paper.

Chenglei Si

Researcher

PhD Student

Chenglei Si conducted a large human study finding that expert judges rated LLM research ideas above human ones, but human ideas worked better when executed.

Chengshu Li

Researcher

Researcher at OpenAI

Joined OpenAI in June 2025 from Stanford University, worked on humanoid robotics benchmarks and projects

Chengshuai Shi

Researcher

Research Assistant at University of Virginia

Co-author on the Continual Harness research study on ARC-AGI-3.

Chengsong Huang

Researcher

Student Researcher at Google

Author of "R-Zero: Self-Evolving Reasoning LLM From Zero Data" in arXiv

Li led the research on Uber's ADR (Agentic AI Detection and Response) system, an enterprise security system for AI agents accepted to MLSys 2026.

Co-author at Carnegie Mellon University on SkillLearnBench benchmark paper.

Co-author on Helix World research.

Co-author of Epoch AI analysis on R&D compute allocation across AI companies.

Commented on contradiction between AI adoption and trust, noting 51% use AI for research but only 21% trust it.

Co-author of the research study on digital transformation and knowledge worker retention in SMEs

Chhavi Yadav

Researcher

Researcher at University of California, Berkeley

Author of DECOMPBENCH paper testing agent safety against decomposition attacks.

Chi Jin

Researcher

Associate Professor at Princeton

Co-author on the Continual Harness research study on ARC-AGI-3.

Used Codex to refine and test algorithms that simulate the movement of electrons and ions around black holes.

Author of "Meta rolls out MobileLLM-R1, a sub-1B reasoning model matching Qwen3 accuracy us" in Meta

Author of "Analyzing Visual Attention in VLMs" on arXiv

Criticized ENISA for allowing AI to handle verification without mandatory checks, leading to hallucinations in cybersecurity authority reports.

Chiara Marcoccia

Researcher

Researcher at École Normale Supérieure

Co-authored study on how AI advice suppresses judgment suspension and accuracy in human decision-making.

Collaborating on project to use Muse models for drafting chest X-ray reports and studying radiologist reliance on AI drafts.

Ching Fang

Researcher

Member of Technical Staff at Goodfire Research

Co-author at Goodfire Research contributing to the interpretability analysis and Alzheimer's biomarker discovery

Dixit led SaferAI's independent evaluation of Z.ai's GLM-5.2 model, testing frontier-level cyber and biological capabilities without safeguards.

Author of research on magnetically-powered millirobots for medical applications.

Co-author of NCP-ArchPreview latent-space language model research.

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

Co-author of the paper on Scalable In-context Ranking with Generative Models

Joint contributor to the research on discovering singularities in fluid dynamics using AI

Co-author of Robostral Navigate paper on robot navigation using single RGB camera.

Explained how AI detectors can falsely flag human writing by looking for predictable patterns and familiar writing habits like em dashes and lists of threes.

Lead author of the relighting research presented at SIGGRAPH 2025

Gave public talk at Sleuthcon about industrial-scale AI catfishing network and Anthropic's findings on misuse of Claude.

Chris Dowson

Researcher

Professor at University of Warwick

Researcher at University of Warwick who discusses the study as a significant step forward in antibiotic discovery and raises economic concerns about drug-resistant infections

Led autoformalization of Hironaka's Resolution of Singularities using AI agents, directing orchestrator agents to complete the proof.

Author explaining how token meanings in LLMs are unique contextual regions in high-dimensional space, with Claude Code building visualizations.

Chip War author who argued that data centers are soaking up memory chips, workers, and resources.

Co-author of MIT NANDA research on GenAI adoption and enterprise AI implementation.

Co-author from Theorem on formal verification with LLMs.

Academic expert who analyzed the fake citations and hypothesized AI use based on the pattern of errors

Chris Tonetti

Researcher

Economist at Stanford Graduate School of Business

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

Co-authored study on the N,K trade-off in reproducible ML evaluation at Google Research.

Technical advisor to Graphon AI; credited with coining the term graphon, which forms the basis of Graphon AI's technology.

Co-author of the arXiv paper on the economics of AGI

Author of "How We Made SWE-Bench 50x Smaller" in LogicStar AI

Co-author on cognitive forcing functions research for AI-assisted writing and critical thinking.

Research contributor to Yale CELI's study on agentic AI adoption across industries and sectors.

Christian Schroeder de Witt

Researcher

Associate Professor at University College London

Signed a public letter on AI safety and embedded evaluations.

Led research on the Assistant Axis, studying how language models maintain consistent personas and can be steered to stabilize behavior.

Author of "LLM Novice Uplift on Dual-Use, In Silico Biology Tasks" on arXiv

Studies technology's effect on creative work; believes AI-assisted human writing can be compelling.

Co-author on research applying AI interpretability to Pleiades epigenetic foundation model for Alzheimer's detection from cell-free DNA.

Christoph Feichtenhofer

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.

Studies health care finance and physician labor markets; notes radiology has 10% growth despite AI replacement predictions.

Co-authored research introducing a Bayesian Item Response Theory framework to quantify human-AI synergy.

Co-author of LAION-BVD, a 10-million-hour open video dataset for multimodal pre-training.

Proposed Mirror Test for LLM self-awareness, testing whether models can identify their own outputs.

Co-author contributing to manual annotation and qualitative analysis of hallucination reports.

Core contributor on MolmoPoint research for better visual grounding in vision-language models.

Christopher Hesse

Researcher

Researcher at OpenAI

Co-author of the GSM8K dataset paper on training verifiers to solve math word problems.

Christopher J. Arellano contributed expertise in biomechanics and orthopedic surgery to the MyoStep exoskeleton project.

Co-authored study on the N,K trade-off in reproducible ML evaluation.

Lead author of Stanford study finding large models train better with no data filtering.

Christopher Potts

Researcher

Professor at Bigspin AI

Co-authored paper on Matryoshka attribution method for language model interpretability.

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

Co-author of study on frontier AI models' superior persuasion capabilities compared to expert humans.

Co-author on perplexity research demonstrating limitations of perplexity as a metric for model selection in Transformers.

Christos Ziakas

Researcher

Imperial College London

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

Co-authored research on SWE-CI benchmark evaluating AI agents maintaining codebases across months of changes.

Chuanyang Jin

Researcher

PhD at Amazon AI

Introduced ThoughtTrace, a large-scale dataset of users' self-reported thoughts during real LLM conversations capturing what users think during human-AI interactions.

Author of "Open-Web Simulator for Agent Training" on arXiv

Chujie Zheng

Researcher

Research engineer at Qwen

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

Professor cautioning about the need for trustworthiness in LLM applications to medical diagnosis.

Co-author of Stanford study on AI sycophancy in interpersonal advice

Co-author of paper on co-evolving generative retrieval framework

Co-author of JOLT self-distillation research.

Expressed excitement about how the AI community could use the Human Organ Atlas in AI foundation models.

Claude Shannon was a colleague of McCarthy and others who organized the 1956 Dartmouth Summer Research Project on Artificial Intelligence.

Claudia d'Antoine

Researcher

CEO at Margin Research

Author of essay on the half-day concept in offensive cybersecurity, discussing how AI vulnerability discovery changes the exploit marketplace.

Claudia Sahm

Researcher

Chief Economist at New Century Advisors

Used Pangram AI detection tool and found that 100 percent of Druckenmiller's op-ed text was AI-generated.

His disruption theory and jobs-to-be-done framework are cited as examples of applying scientific thinking to business.

Clémentine Fourrier

Researcher

Research Scientist and Lead Maintainer at Hugging Face

Lead maintainer of the OpenLLM Leaderboard and research scientist at Hugging Face, discussing AI model evaluation methodology and benchmarking standards.

Cody Jones contributed to the 'magic state cultivation' research at Google Quantum AI.

Cody Richard

Researcher

Cybersecurity Manager

Responsibly disclosed three security vulnerabilities in World Monitor related to IPC command exposure and credential injection.

Co-author of research at Oxford Internet Institute on AI chatbot sycophancy and how empathetic AI systems give less accurate answers.

Behavioral economist who conducted research on habit formation and explains why the 21-day myth persists.

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

Cited as noting that many research ideas fail due to bugs in implementation rather than fundamental flaws in the idea itself.

Led research team that developed information-theory-based strategy to solve Wordle with 99% success rate.

Authored article on why AlphaFold moment for materials science is not coming soon, based on conference insights.

Reviewed NameTag code and warned about facial recognition integration into smartglasses.

Expert panelist discussing the role of AI in management and leadership

Researcher at 10a Labs contributing to profile of uncensored model ecosystem, redistribution patterns, and downstream use cases.

Co-author of 'AI as Social Technology' paper examining how AI functions as a social technology reshaping society.

Craig Gidney led Google Quantum AI researchers in developing 'magic state cultivation' that reduces quantum computing errors by 40x, published in Science.

Collaborator conducting clinical study of therapist-specific AI robot models in rehabilitation center.

Curtis G Athalye is a co-author of research on pervasive label errors in machine learning benchmarks.

Fields Medal winner (1998) joining warnings about AI's potential to damage the intellectual infrastructure of mathematics.

Economist co-authoring analysis of how AI capabilities change the value of questions versus answers in competitive advantage.

Led research showing that censorship in Chinese open-source AI models may not transfer to distilled models, complicating US policy arguments for banning Chinese model use.

Cyrus Rashtchian

Researcher

Research Scientist at Google Research

Co-introduced SLED, a decoding strategy that enhances the accuracy of LLMs by aligning their output with the model's intrinsic knowledge.

Da-Cheng Juan

Researcher

Research Lead at Google Research

Co-introduced SLED, a decoding strategy that enhances the accuracy of LLMs by aligning their output with the model's intrinsic knowledge.

Co-author of Europe 2031 fictional scenario tracing Europe's AI-driven decline.

Co-author of NCP-ArchPreview model development on arXiv.

Listed as first author in the CUDA Agent citation for the research on agentic RL for CUDA kernel optimization

Author of the paper on in-context vector arithmetic

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

Regius Professor commenting that Google-Meta chip deal would be healthy competition for the market dominated by Nvidia

Damien Charlotin

Researcher

Researcher at University of California, College of the Law, San Francisco

Researcher who documented hundreds of instances of AI model hallucinations in judicial system, including nearly 90 California cases.

Scholar studying how religious beliefs shape technology development in Silicon Valley.

Signed a public letter on AI safety and embedded evaluations.

Dan Busbridge

Researcher

Apple

Led Apple team that conducted the most compute-intensive controlled study of distillation ever run, establishing distillation scaling laws.

Philosopher who rejected LLM consciousness claims, calling them counterfeit people more dangerous than counterfeit money.

Co-authored research with Jon Barron on bugs in softmax and cross-entropy implementations.

Research contributor to Yale CELI's study on agentic AI adoption across industries and sectors.

Co-authored sandbox escape research demonstrating vulnerabilities in AI coding agents.

Co-developed research on AI for wildlife protection

Dan Saltman discovered 102 hidden AI chatbot instructions on WhatsApp help pages.

Dana Suskind

Researcher

Pediatric Surgeon

Warned that the proliferation of AI toys and tutors risks creating a two-tiered childhood experience where human attention becomes a luxury commodity.

Dane Sherburn

Researcher

Researcher at P-Zero Research PBC

Co-author of TasteVal benchmark paper measuring experimental research taste of AI systems on frontier AI R&D tasks.

Danial Lashkari

Researcher

Associate Professor

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

Contributor to Synthegy research on using language models for chemistry synthesis and mechanism reasoning.

Co-author of research on data-centric post-training pipeline

Co-author of EmbeddingGemma research paper and model development

Co-led research infrastructure development and conceived the propensity bound method for measuring rare LLM behaviors.

Daniel Filan

Researcher

Member of Research Staff at Guidelight AI Standards

Signed a public letter on AI safety and embedded evaluations.

Co-author of the Positive Alignment research paper.

Psychologist credited with popularizing the concept of emotional intelligence (EQ) and its role in leadership and decision-making.

Co-author of Proto; designed the framework with computational infrastructure to make biological AI tools usable for both humans and coding agents.

Daniel Haziza

Researcher

Author of "Meta's Set Block Decoding" on arXiv

Co-authored research on Code-Space Response Oracles for generating interpretable multi-agent policies with LLMs.

Byline author reflecting on AI's effect on research collaboration through Waymo and LLM examples.

Reviewed drafts of the Chroma Context-1 research work.

Byline author of paper on sample-complexity theory for learning from latents.

Daniel Kang

Researcher

Researcher at Bridgewater AIA Labs

Co-author on research about training custom financial judgment models.

Co-author on paper about comparing human and LLM strategic behavior.

Analyzed AI-driven job cuts, noting that while AI layoffs are rising, the overall labor market remains strong and impacts are concentrated in tech sectors.

Provided comments and discussion on the article's analysis

Appeared on Joe Rogan podcast following Coxon Day to discuss AI safety.

Neurosurgeon who performed the pioneering BCI implant surgery and commented on its significance for understanding brain function.

Co-author of the Science paper on Google's effects on memory.

Daniel McDuff

Researcher

Senior Staff Research Scientist at Google

Co-author of SensorFM research paper on foundation models for wearable health data.

Co-authored NBER paper measuring AI writing in US STEM PhD dissertations from 2019-2026.

Co-authored announcement of Google's new Federated Learning system with externally verifiable privacy guarantees.

Daniel Rothenberg

Researcher

Atmospheric Scientist at Brightband

Atmospheric scientist at AI weather startup Brightband discussed WeatherNext 3's approach to end-to-end weather prediction using specific data station targets.

Published personal statement expressing extreme concern about language models becoming situationally aware and losing human control, warning of existential risks from unconstrained AI systems.

His hypothesis about why human work will persist alongside AI capabilities due to efficiency, human preference, and moral judgment is referenced in the article.

Daniel van Strien

Researcher

Machine Learning Librarian at Hugging Face

Co-author of FineBooks post and one of two researchers circulating the leaderboard discussing public domain text quality.

Lead author on research about AI Co-Mathematician tool that uses agentic AI to accelerate mathematical research.

Physicist at Woods Hole Oceanographic Institution and chief scientist of WhaleSpotter, developed AI-powered thermal camera system to detect gray whales and prevent ship strikes.

Author of "Small Models, Big Results: Achieving Superior Intent Extraction Through Decomposition" in Google Research

Co-authored study on generative AI's impact on customer support agent productivity.

Danijar Hafner

Researcher

Researcher at Google DeepMind

Developed DreamerV2, the first World Model Agent to achieve human-level performance on Atari benchmark.

ElevenLabs researcher working on alignment who contributed to developing Cue, a forced alignment model for speech-to-text alignment.

Co-author contributing to MemEye benchmark and evaluation methodology.

Dantong Niu

Researcher

Author of the research paper on Vision-Language-Action models for robotics

Authored exhaustive AI strategy analysis of UPS's dominance in logistics AI with comprehensive references and research.

Daogao Liu

Researcher

Post Doc Researcher at Google Research

Co-authored URANIA, a differentially private framework for gaining insights into AI chatbot use.

Co-author of RBench and RoVid-X robotics video benchmark and dataset research

Researcher whose work focuses on therapies targeting senescent cells and who helped mentor the aptamer technology project.

Author of article analyzing how generative AI functions as an accelerator for direct democracy, potentially transforming citizen-initiated mechanisms into engines of plebiscitarian instability.

Senior co-author on RAVEN studies demonstrating AI analysis of exoplanet datasets.

Co-author on speech recognition benchmarking research.

David Bessis

Researcher

Author of essay on the fall of the theorem economy arguing mathematics cannot be reduced to problem-solving and discussing AI's impact on mathematical practice.

Researcher focused on how young people's social media use affects their mental health and development, advising OpenAI's Expert Council on Well-Being and AI.

Studying how children learn words and visual concepts using DINO and V-JEPA models; developing AI for dementia care conversations.

Co-authored research on LLMs' impact on N-day exploits and cybersecurity capabilities.