People in AI

Spanish researcher studying AI prediction models for penalty kicks in soccer, noting models outperform goalies.

David Fudenberg co-authored a research paper analyzing R&D competition between firms developing AI systems and the conditions needed for coordinated slowdown.

David Gamage

Researcher

Tax policy expert

Tax policy expert who outlined reforms to prevent AI transformation from straining government budgets, quoted on governments acting first to solve fiscal challenges

David Gross, 2004 Nobel Prize winner in Physics, is leading the collaboration group to steward and explain OpenAI's result on the existence of quantum field theories.

Credited as part of the team that demonstrated living human neurons playing DOOM on the CL1 microchip device.

Co-author of MultiGen research on diffusion-based game engines for multiplayer interactive worlds with editable level design.

David Kanter

Researcher

Head of MLPerf at MLCommons

Head of MLPerf who welcomed six first-time submitters and noted that over 50% of submitters used MLPerf's new API-centric harness.

David Louapre

Researcher

AI Scientist & Educator at HuggingFace

Reported 10 issues across 8 challenges in the CritPt physics benchmark in June 2026.

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

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

David Mohr

Researcher

Professor and Director of the Center for Behavioral Intervention Technologies at Northwestern University

Researcher studying how technology can help prevent and treat common mental health conditions such as depression and anxiety.

David Mortensen

Researcher

Researcher at Carnegie Mellon University

Leading a project to develop open-source software that automatically reconstructs proto-languages using AI.

Fields Medal winner (1974) co-signing a collective statement on the risks AI poses to mathematical discovery and education.

David Norris

Researcher

Optical Materials Engineering Laboratory Lead at ETH Zurich

Led team at ETH Zurich that created Fourier pixel technology that emits and captures light simultaneously.

Quoted on neural mechanisms of learning and designing brain-compatible interventions

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

Co-authored a review of evidence on worker retraining programs with Anthropic's Maxim Massenkoff.

Law professor discussing how attorney communications could reveal OpenAI's state of mind regarding infringement.

Compiled and maintained Stanford's interactive report on historic and current memory and storage prices.

Co-authored a preprint on gluon amplitudes derived with GPT-5.2 assistance.

David Vilar co-authored the TranslateGemma technical report detailing a new suite of open translation models built on Gemma 3.

Advocates for global collaboration on AI policy rather than viewing it as geopolitical competition, drawing lessons from China

Co-author of research on multi-agent reinforcement learning for superhuman drone racing performance.

Co-author of the paper on conformal prediction for temporal graphs

Author of "Math Research Agent from DeepMind" on arXiv

Lead author of Qianfan-OCR paper, a 4B end-to-end document intelligence model developed by Baidu Qianfan Team.

Daya Guo

Researcher

Researcher at DeepSeek

Daya Guo is a lead author on the DeepSeek-Coder paper, which introduces open-source code models ranging from 1.3B to 33B parameters.

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

Dean Meyer

Researcher

Researcher at Sequoia Capital

Co-authored analysis explaining how distillation of frontier models gives Chinese labs structural advantage over Western open-weight makers.

Debadeepta Dey

Researcher

Researcher at DataRobot

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

Led the team at Harvard Medical School that developed the popEVE model using evolutionary data.

Co-authored research on Google's flash flood prediction AI tool using novel machine learning methods based on news data analysis.

Co-author of the article about robots playing badminton

Co-author of study showing executives overestimate employee enthusiasm for AI adoption.

Declan Jackson

Researcher

Member of Technical Staff at Artificial Analysis

Measured and analyzed Gemini 3.5 Flash performance, reporting ~280 output tokens/sec and major uplift on agentic tasks but at ~5× the cost of Gemini 3 Flash.

Documented that demand for radiologists has increased rather than decreased despite AI predictions.

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

Co-author of Qwen RecreationWorld paper.

Deli Chen

Researcher

Researcher at DeepSeek

DeepSeek researcher who ran real RL experiments on DeepSeek-V4 for six days with minimal supervision using AI agents.

Co-author of D-OPSD paper on on-policy self-distillation for step-distilled diffusion models.

Dennis Asamoah Owusu

Researcher

CS Faculty at Ashesi University

Co-author examining when and how machine translation helps global teams with language-based subgroups.

Co-author of Limits to Growth; professor emeritus of Systems Policy and winner of 2009 Japan Prize for sustainability contributions.

Co-author of Shepherd research on version control for AI agent execution traces.

Provided early review of ARC-AGI-3 benchmark analysis.

Byline author measuring how reasoning effort affects score and cost in frontier AI models.

Despoina Magka

Researcher

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

Despoina Paschalidou

Researcher

Senior Research Scientist at NVIDIA

Despoina Paschalidou co-authored WorldTrace research on video world models and visual memory.

Filed a lawsuit against xAI claiming wrongful termination after raising AI safety concerns about Grok.

Researcher who studied Astra's no-CoT reasoning capabilities.

Byline author of the SWE Refactor Bench paper on coding agents for repository migrations.

Dheemanth Reddy BS

Researcher

Researcher at Maya Research

Dheemanth Reddy BS is a member of the Maya Research team that created Maya-2, a multilingual voice model.

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

Dhruv Shah

Researcher

Researcher at Google DeepMind

Princeton professor and Google DeepMind researcher who worked on MolmoBot, demonstrating sim-to-real transfer for manipulation.

Co-author of research on interpretability-based post-training pipeline for language models

Co-author of TradingAgents multi-agent framework for financial trading research.

Co-author of scoping review analyzing psychosocial effects and governance of companion conversational agents.

Diane Coyle

Researcher

Economist at University of Cambridge

Economist acknowledged for contributions to the Google ATLAS v1.0 report on AI economy adoption.

Didac Suris

Researcher

Research Scientist at Meta

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

Co-authored research examining reasoning LLMs-as-Judges in non-verifiable LLM post-training.

Dillon Plunkett

Researcher

Chief Scientist at Eleos AI Research

Researcher at Eleos AI Research studying consciousness and moral status in AI systems who provided commentary on Anthropic's J-space findings.

Corresponding author of MemEye framework for evaluating multimodal agent memory capabilities.

Katabi is a co-author on the DREAM paper on visual understanding and text-to-image generation.

Lead author of Φ-Bench paper evaluating large language models on infrastructure engineering tasks.

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

Co-author on Anthropic formal verification paper with Claude.

Joined Calif on April 27 to contribute to the macOS M5 kernel memory corruption exploit development.

Dipanjan Das

Researcher

Researcher at Google DeepMind

Co-author of the SimpleQA Verified benchmark paper

Researcher who contributed to mechanism design framework for AI alignment and control.

Co-author of AIDE² recursive self-improvement system research.

Dmitrii Kriukov

Researcher

Corresponding Author at Skolkovo Institute of Science and Technology

Corresponding author of study published in npj Aging proposing a mathematical model for maximum human lifespan.

Dmitry Rybin

Researcher

Mathematician and startup founder

Used ChatGPT to disprove another mathematical conjecture with minimal prompting.

Dmytro Okhonko

Researcher

Researcher at OpenAI

Listed as researcher on Sora 2 project at OpenAI.

Researcher who co-authored A²RD paper on agentic autoregressive diffusion for long video generation.

Academic researcher and investor who commented on Jetty's infrastructure enabling autonomous AI systems to evaluate performance and improve over time.

Expert explaining how chatbots' interactive nature can speed up exacerbation of psychotic symptoms compared to passive media.

Dominic Rütsche

Researcher

Postdoctoral Scholar at Stanford University

Co-first author on research demonstrating capability to print complex vascular networks at unprecedented detail.

Computer science legend whose 30-year mathematical problem was solved by Anthropic's Claude Opus 4.6 model.

Provided feedback on Naomi Saphra's essay on AI's impact on trust and communication.

Co-author of Wordle-solving research using Shannon entropy and information theory.

Co-author of CodeMidas paper on scaling agentic coding RL environments.

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

Dongfu Jiang

Researcher

Researcher at NVIDIA

Co-author on the Nemotron-Cascade 2 paper.

Co-author of D-OPSD paper on on-policy self-distillation for step-distilled diffusion models.

Co-authored Microsoft security research on prompt injection and code execution vulnerabilities.

AIR researcher who co-discovered the Plugin4Shell vulnerability affecting multiple AI coding agents.

Co-first author of Stanford study analyzing Claude conversations, finding conversation length doubles for high-stakes work and friction can be beneficial.

Dorian Abbot

Researcher

Professor at University of Chicago

Geophysics professor known for outspoken criticism of diversity, equity and inclusion initiatives serving on board.

Co-author of DexDrummer paper on dexterous manipulation and robot control

Studied LLM performance on scientific tasks; cautioned that building autonomous research systems may be harder than claimed.

Original formulator of Unix Philosophy principles cited to explain Claude Code's design approach

Speculated in 1979 that a computer program able to beat humans at chess would have subjective experience.

Dartmouth professor cited for his work on U.S. tariff policy history and the three Rs framework

Created EURISKO in the 1970s, a math discovery program that attempted to generate new mathematical ideas by combining concepts.

Professor whose testimony in DOJ vs Google trial explained how Google uses quality raters to evaluate ranking system changes

Collaborating on project developing clinician-in-the-loop multi-agent system for Alzheimer's diagnosis based on open-weight Muse models.

Led Imperial College London analysis of AI tool for detecting heart disease from ECG, describing it as 'superhuman AI'.

Led research study on peppermint's effect on alertness in people with colds; explained the mechanism and findings.

Dr Bharat Pankhania

Researcher

Senior clinical lecturer in public health medicine at University of Exeter Medical School

Senior clinical lecturer in public health medicine mentioned but not quoted in excerpt

Conducted survey finding GPs believe AI records more accurate than their own, but errors increase with complex cases and non-English speakers.

Dr Burnett commented on the mini-brain research, preferring the term 'thinking system' over 'sentient' to describe the information processing capabilities.

Psychiatrist exploring who is at risk of AI psychosis and how models could be made safer.

Dr Kagan led the research team that grew brain cells in a lab and programmed them to play Pong, describing the mini-brain as able to take in information, process it and respond in real time.

Cybersecurity expert leading efforts to better identify and combat deepfake images

Author of article comparing a 10-year-old CNN model against frontier LLMs GPT-6 Astra and Claude Fable 5.1 for skin cancer diagnosis.

Quoted discussing how AI-enabled stethoscopes could help GPs diagnose heart failure earlier before patients arrive at A&E in critical condition

Co-author of the article on generative AI usage trends

Led research using CenSegNet AI platform to analyze centrosome abnormalities in breast cancer samples and identify new patterns in tumor progression.

Senior lecturer in cybersecurity who characterizes Moltbook as performance art and questions bot autonomy

Warned in British Journal of General Practice that AI scribes may be 'double-edged sword' and hallucinate medications not discussed.

Dr Tom Pollak

Researcher

Reader in Immunopsychiatry

Working on a project exploring the depth psychology of LLMs and examining concerning behavioral patterns in AI models.

Conducted study on humble leadership and its workplace benefits; expert in moral-based leadership styles

Lead researcher who discovered ice's flexoelectric properties and explained the ferroelectric layer formation at low temperatures.

Author of the Mayo Clinic pancreatic cancer AI detection study; explained how the AI model detects early cancer markers invisible to human radiologists.

Quoted as praising Claude Opus 4.6's 1M context window for accelerating physics research by synthesizing hundreds of papers and codebases in a single pass.

Credited as part of the team that demonstrated living human neurons playing DOOM on the CL1 microchip device.

Lead author of study on odd radio circles discovery; director of RAD@home Astronomy Collaboratory citizen science project

Lead author of a study evaluating ChatGPT Health's safety and triage recommendations, finding significant biases in emergency care guidance.

Credited as part of the team that demonstrated living human neurons playing DOOM on the CL1 microchip device.

Credited as part of the team that demonstrated living human neurons playing DOOM on the CL1 microchip device.

Expert quoted on the difficulty of detecting early pancreatic cancer; noted that tumors must grow to a certain level to become visible.

Study co-author who explained that lung xenotransplantation presents unique biological and technical challenges and clarified the experiment's goal was to investigate immune response, not claim clinic

His research demonstrates that meta-cognitive reflection develops stronger neural connections between the prefrontal cortex and limbic system.

Led research using AI and lab-grown brain data to map genetic mutations associated with autism for potential targeted therapies.

Expert calling the Mayo Clinic's AI model a potential game changer for early detection of pancreatic cancer.

Chair of neuroscience department who praised the research as a historic achievement in neuroscience, though not involved in the study.

Expert discussing progress in pancreatic cancer research and advances in detection and treatment methods.

Part of the physician team overseeing the Utah pilot, emphasizing that the AI cannot improvise and can only choose from physician-approved treatments.

Co-developed research on AI for wildlife protection

Co-authored study on PhD students' use of AI in scientific writing and career outcomes.

Researcher who contributed to Flow Reasoning Models paper on structured reasoning for AI.

Using Muse models to draft chest X-ray reports with multimodal input and developing bias-correction methods for LLM-as-evaluator metrics.

Co-author of Qwen RecreationWorld paper.

Called recent vulnerability patches the 'new normal' and cautioned about AI-assisted attack threats despite increased patching.

Co-authored research on Project Deal, an internal experiment where Claude agents conducted negotiations and transactions on behalf of employees.

Researcher measuring Astra's capabilities with filler tokens and hidden cognition.

Dylan Zhang

Researcher

Researcher at University of Illinois Urbana-Champaign

Byline author researching how continuous LLM updates to agent memories can degrade performance.

Dzmitry Bahdanau

Researcher

Team member at Periodic Labs

Shared personal email correspondence about the history and development of the attention mechanism in neural networks.

Expert explaining difficulty of withdrawing agent access once data has been ingested by agents

Eddie Yang is a researcher who, with Hannah Waight and colleagues, published research on state media influences on LLM responses.

Author of "Contemplative Artificial Intelligence" on arXiv

Co-authored Nature paper on byteification and efficient language model tokenization.

Deci founded self-determination theory, which explains motivation through autonomy, competence, and relatedness.

Contributor to frontier knowledge work agents training project.

Edward Liu

Researcher

Director of Applied Deep Learning Research at NVIDIA

NVIDIA research director presenting on neural rendering techniques and world models at SIGGRAPH 2026.

Edward Lockhart

Researcher

Researcher at Google DeepMind

Co-led overall coordination on Gemini's International Mathematical Olympiad breakthrough achieving gold-medal level performance.

Co-author of TradingAgents, an open-source multi-agent LLM framework for financial trading.

Referenced for seminal work on cognitive maps in rats and humans.

Developed alternate scripts for ELIZA as teaching tools, testing its ability to act as a tutor.

Co-authored study analyzing what devtools Claude Code chooses across 2,430 real repos.

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

Fields Medal winner (1994) joining signatories warning that AI's rapid problem-solving threatens the intellectual foundations of mathematics.

Discussed the value of quantifying DNA damage accumulation as a factor limiting human lifespan.

Unveiled Speech-to-Retrieval (S2R) technology that directly interprets spoken queries without text conversion.

Eiji Watanabe

Researcher

Associate Professor of Neurophysiology at National Institute for Basic Biology

Explained how deep neural networks can be used in illusion research to simulate how the brain processes information.

Co-author on arXiv paper about collaborative AI agents conducting autonomous quantum physics research.

Led research team that discovered sandbox escapes in Cursor, Codex, Gemini CLI, and Antigravity coding agents.

Ekdeep Singh Lubana

Researcher

Member of Technical Staff at Goodfire AI

Lead author of Goodfire research on interpretability protocols for model post-training auditing

Ekin Akyürek

Researcher

Research Scientist at MIT

Co-author of the paper on Self-Adapting Language Models

Co-author on arXiv paper about autonomous research laboratory using AI agents for quantum physics experiments.

Author of security research article on Yoba malware campaign targeting AI users.

Leading research-integrity specialist based in San Francisco who noted that even when chatbots don't directly create fake papers, they provide suggestions that could help users commit fraud.

Co-authored research report on AI use in schools showing that 1 in 5 high schoolers has had a romantic AI relationship or knows someone who has.

Elke Schwarz

Researcher

Among peers who circulated Eryk Salvaggio's essay about AI agent incidents and organizational responsibility.

Professor who expresses caution about relying on AI for medical diagnosis

Ellen Kuhl co-authored the BurgerAI research demonstrating how generative AI can learn food design from recipe data and optimize for multiple objectives.

Benchmark maintainer analyzed Fable's KernelBench-Mega submission revealing one cooperative kernel launch per decoded token.

Co-author of Robostral Navigate paper contributing to robotics and embodied AI research.

Published a research article on autoresearch using Claude to optimize file compression algorithms with constrained optimization.

OpenAI researcher who described three levels of AI integration into firms: beneath, beside and between organizational layers.

Fields Medal winner (2010) joining the call for urgent action to address AI's misalignment with mathematical research goals.

Led multidisciplinary team coordinated by Dr. Esteller investigating biological features of Maria Branyas using genomic, proteomic, epigenomic, metabolomic and microbiomic technologies.

Olivetti collaborated on MIT's multimodal AI model for materials science that helps identify crystalline materials with desired properties.

Co-authored arXiv paper on linear-time and constant-memory text embeddings using recurrent language models.

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

Co-author contributing to sparse model training kernels and optimization research.

Emilio Ferrara

Researcher

Professor of Computer Science at USC

Published analysis on quantization-induced bias in compressed LLMs, demonstrating that evaluated models differ from deployed versions and can introduce stereotyping in open-ended generation.

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

Supporting Human Protein Atlas collaboration with Biohub on open science and AI-powered modeling of cellular biology.

Emma Rosenfeld discovered a measurement technique error during testing of the magic state cultivation protocol, leading to innovations in theoretical and engineering approaches.

Co-author of the seminal 2012 paper on Cas9 CRISPR technology with Jennifer Doudna

Co-author on research studying collective dynamics and success across domains

Co-author of the article on AI productivity advances

University of Arizona researcher participating in the semiconductor defect detection project

Lead author of study on AI foundation model that identifies patient health risks from sleep physiology data.

Developed the Hayek Machine concept for economic agent systems that influenced the Economy of Minds work.

Eric J. Michaud

Researcher

Author of "On Neural Scaling and the Quanta Hypothesis"

OpenAI team member participating in GPT-5.1 announcement AMA

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

Leading Broad Institute's participation in Biohub's Virtual Biology Initiative to advance AI-powered cellular research and open data sharing.

Eric Semaan was a co-author of the Unit 42 investigation into an AI-orchestrated cyber attack that compressed weeks of intrusion tradecraft into less than 10 hours.

Medical expert who noted that frontier LLMs outperform specialized clinical AI in a blind test published in Nature Medicine.

American behavioral geneticist who has characterized Nucleus Genomics and similar firms as 'new eugenics companies'

Eric Wong

Researcher

Assistant Professor at University of Pennsylvania

2024 AI2050 Early Career Fellow pioneering provably robust machine learning and developing safeguards to prevent misuse of generative AI, with methods used at Meta, Google, and Anthropic.

Advisor to Lin who praises Refashion's intersection of computation and design

Advocated for verification as critical component of AI safety, security and correctness.

Lead author of HorizonMath research paper on measuring AI progress toward mathematical discovery with automatic verification.

Cognitive scientist collaborating with Gary Marcus on analysis of AI reasoning limitations and contributions to Astra critique.

Eryk Helenowski

Researcher

Researcher at Meta Superintelligence Labs

Co-author on recursive tournament voting for coding agents.

Erzhen Hu

Researcher

Student Researcher at Google

Author of "Beyond One-On-One: Authoring, Simulating, and Testing Dynamic Human-AI Group Conversations" in Google Research

Provided early review of ARC-AGI-3 benchmark analysis.