People in AI

Used as an example in entity and relationship extraction, with the triple (Marie Curie, discovered, polonium)

Marie Davidsen Buhl

Researcher

Researcher at UK AI Security Institute

Submission contact for arXiv paper on why automated alignment research is harder than expected.

First author of study using RAVEN AI pipeline to validate 118 new exoplanets from NASA TESS data.

Marine Carpuat

Researcher

Researcher at University of Maryland

Co-author of between-subjects experiment testing MT-mediated exchanges in global team meetings.

Mario Giulianelli

Researcher

Associate Professor at UCL

Commented on research about language coordination patterns in AI agents and how lower-status speakers might use them to persuade.

Noted the difficulty of training Watson without clear evidence for many clinical scenarios in bladder cancer treatment.

Mark Bissell

Researcher

AI Researcher at Goodfire Research

Co-author at Goodfire Research on the interpretability study of Pleiades model

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

Co-authored research on Meta's Just-in-Time Testing system that uses LLMs to generate tests and catch bugs before code ships to production.

Co-led the development of a cerebellum-inspired memtransistor that detects unexpected events while consuming far less energy than conventional AI approaches.

Memorial Sloan Kettering oncologist leading the training of Watson for Oncology, acknowledged difficulty updating the system with new evidence.

Studied AI-related layoffs and found productivity did not rise after companies invested in AI and cut staff.

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

Mark Riedl

Researcher

Georgia Institute of Technology

Co-author of arXiv paper arguing that AI-driven war games should not shape military planning without an auditable safety case.

Co-senior author on bioprinting research, leading efforts to print functioning blood vessels and complex organ structures.

Economist co-authoring research on how AI commoditizes answer generation and elevates problem formulation as a strategic skill.

Co-authored research on process-driven image generation.

Submitter of SwarmWorld paper on homogeneous LLM agents building functional technology via stigmergy.

Co-author from Amazon AGI on SkillLearnBench research on agent skills.

Markus Marks

Researcher

Contributor at Meta

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

Author of "Medical Triage As An AI Ethics Benchmark" in nature.com

Markus Wulfmeier

Researcher

Researcher at Google DeepMind

Co-author of study demonstrating multi-agent RL enabling drones to outperform human pilots in racing scenarios.

Dutch researcher who noted Watson for Oncology's focus on American practices prevented adoption in the Netherlands.

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

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

Martin Fleming

Researcher

Researcher at MIT FutureTech

Co-researcher on MIT AI automation study analyzing frontier LLM capabilities.

Martin Jaggi

Researcher

Professor of Machine Learning at EPFL

Member of Steering Committee of Swiss AI Initiative that released Apertus, a fully open AI model.

Prominent researcher cited as excited and hopeful about effects of AI-assisted proofs

Martin Maas

Researcher

Research Scientist at Google DeepMind

Co-presented LAVA, a new AI-powered scheduling algorithm for optimizing virtual machine allocation in cloud data centers.

Formalized an optimizing compiler in Lean using AI assistance, completing work in one month.

Commented on GEMA's lawsuit against Suno, noting the importance of music collecting societies in protecting artists' rights.

Martin Wattenberg

Researcher

Researcher

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

Hosted forum on AI in education, stating AI is already shaping the future of education in ways everyone in the sector needs to understand.

Stated that companies lack clarity on what responsible AI deployment looks like and need data-driven starting point for building trust.

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

Wrote about Creeping Cognitive Displacement Syndrome and AI's degradation of university credential value.

Mary Newhauser

Researcher

Member of Technical Staff at Fastino

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

Signed the Pacing the Frontier statement on AI development coordination and governance.

Co-author of NBER working paper analyzing market responses to AI model releases through bond yield movements

Coauthor of the study on gender threats and workplace deviance

Co-author on arXiv paper about AI agents autonomously running quantum physics experiments and discovering new physical laws.

Mason Daugherty

Researcher

Researcher at LangChain

Led evaluation of open-weight LLMs showing they are viable alternatives to frontier models for core agent tasks.

Matej Balog

Researcher

staff research scientist at Google DeepMind

Co-author on AlphaProof Nexus research paper on AI-driven formal proof search that solved nine open Erdős problems.

Sleep researcher at Cleveland Clinic contributing to AI model development for identifying hidden health signals in sleep studies.

Led development of G-AUDIT tool to detect hidden biases in medical AI training data.

Researcher with Ph.D. in Cognitive Neuroscience focused on how AI intersects with child cognitive and emotional development.

Matt Lovett-Barron

Researcher

Scientist at University of California, San Diego

Matt Lovett-Barron studies Danionella and uses virtual reality environments to study how fish brains manage social behavior and schooling.

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

Matt McNiece

Researcher

Researcher at Anthropic

Co-authored the Claude Mythos security research at Anthropic.

Matt Reynolds

Researcher

Director of Communications at Forecasting Research Institute

Co-authored post on AI progress forecasts accuracy at FRI.

Matt Sigelman

Researcher

President of The Burning Glass Institute at The Burning Glass Institute

Analyzes skill-biased technological change and labor market divergence, discusses how AI differs from past tech adoption.

Studied the surge in low-quality papers linked to LLMs and commented that the fraud testing results should act as a wake-up call to developers.

Building AI theorist that automatically constructs and tests predictive mathematical models for biological active matter.

Lead author of study on maternal RSV vaccination effectiveness in preventing infant hospitalizations.

Co-Principal Investigator on Harvard research into gender disparities in AI adoption and representation.

Co-introduced GIST algorithm at NeurIPS 2025 for balancing data diversity and utility in machine learning datasets.

Analyzed fraudulent dating apps and uncovered technical details of the AI catfishing network operation including leaked internal protocols.

AI researcher explaining how transformer-based LLMs tokenize text and struggle with character-level spelling tasks.

Led team that tested thousands of machine learning models on predicting life outcomes and found limited predictive skill.

Co-authored Emergence World paper on persistent multi-agent environments and adversarial stress testing.

Researcher studying how uncensored AI models persist across registries and persist through quantization and mirroring.

Legal scholar arguing that predicting technology's future impact is difficult and historical track records are poor.

Matthias Bethge

Researcher

Professor of Computational Neuroscience at University of Tübingen

Author of "PostTrainBench" in PostTrainBench Official Site

Co-author on Kumo Relational research.

Lead researcher on MIT study finding AI automation spreading broadly across thousands of workplace tasks.

Co-author of WorldAgents paper investigating 3D capabilities in 2D foundation models.

Co-author of research on experimental protocols addressing language barriers in multinational knowledge transfer.

Byline author of paper on theoretical improvements of latent prediction methods.

Author of Stop the Machines book on anti-technology extremism, whose lecture is circulating in fusion centers.

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

Max Harley

Researcher

Aiken County Public School District

Author of "LOLMIL: Living Off the Land Models and Inference Libraries"

Max Kleiman-Weiner

Researcher

Prof at University of Washington at University of Washington

Co-author of MIT research on AI sycophancy and delusional spiraling.

Researcher at ElevenLabs who worked on Cue, the forced alignment model for audio alignment.

Co-author of research on interpretability protocols for language model post-training

German robotics team member discussing the value of competition for testing new approaches in robot development.

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

Fields Medal winner (1998) among prominent mathematicians warning about AI's destructive potential if misapplied to mathematical discovery.

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

Plastic surgeon whose 1960 observation about 21-day recovery became the origin of the popular habit formation myth.

McNair Shah

Researcher

Research Fellow at Anthropic

Co-author of Anthropic research on self-propagating ideas in multi-agent LLM systems and their spread factors.

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

Lead author of comprehensive review on AI in healthcare covering diagnostics, treatment personalization, and challenges.

Mehdi Bennani

Researcher

Researcher at DeepMind

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

Co-researcher on MIT study of AI task automation across workforce.

Co-introduced the Titans architecture and MIRAS framework for helping AI models have long-term memory.

Author of the paper 'Diversity, Equity and Inclusion for Problems in Additive Number Theory' whose problems were tested by ChatGPT 5.5 Pro.

Quoted on why young people are skeptical of AI being pushed by adults and tech corporations.

Proposes treating AI as alien intelligence and adapting methods from developmental psychology to evaluate AI cognition; outlines six principles for better AI assessment.

Conducted a hackathon study examining how different types of AI assistance affect team creativity.

Melis Anahtar

Researcher

Former Postdoc at MIT

Lead author of study using generative AI to design novel antibiotics.

Melody Guan

Researcher

Researcher at OpenAI

Co-authored OpenAI Alignment post on complementary metrics for monitorability and monitoring AI systems.

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

Mengting Gu

Researcher

Researcher at Meta Superintelligence Labs

Co-author of the Language Self-Play research paper

Co-author of the Robix research paper

Author of 'Artificial Unintelligence' who commented on the growing AI backlash and negative attitudes toward generative AI.

Meredith Ringel Morris

Researcher

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

Co-authored study on AI coding productivity gains and downstream bottlenecks in software development process.

Researcher on media, body image, and disabilities, discussing limitations of AI in understanding multidimensional body image.

Co-author of Qwen RecreationWorld paper.

Micah Zoltu

Researcher

Security Expert at Serv.eth Support

Provided assistance and advice on Vitalik's local AI security setup.

Co-authored paper on reasoning architecture for large language models inspired by AlphaGo.

Presented AgentFlayer family of zero-click hijacks affecting agents from Microsoft, Google, OpenAI, and Salesforce at Black Hat USA 2025.

Michael Birtwisle gave evidence at a UK parliamentary inquiry about facial recognition and discusses limitations of UK trial data for Australian deployment.

Discussed how developers and deployers of AI agents are only actors capable of holding responsibility for their actions.

Author of the research paper on theoretical limitations of embedding-based retrieval

Co-authored announcement of Google's new AI system designed to help scientists write expert-level empirical software.

Michael Chui

Researcher

Senior Fellow at QuantumBlack, AI by McKinsey at McKinsey

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

Clarified details about JadePuffer agentic ransomware attack, explaining human involvement in setup versus technical execution.

Michael Douglas is part of the external collaboration group shepherding OpenAI's quantum field theory result on Yang-Mills existence.

Leading Eyes-On project developing computer vision system to continuously detect tracheostomy tube displacement and distress in infants.

Gerlich conducted a study finding a significant negative correlation between frequent AI tool usage and critical thinking abilities.

Co-author of the BCG study on AI ROI and value generation

Contributor to frontier knowledge work agents training project.

Michael Helcig

Researcher

PhD Student / Researcher

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

Co-authored Anthropic's Project Fetch report on Claude's performance with robotic tasks.

Co-author of GPIC paper on a giant permissive image corpus for visual generation model training.

Michael Kirchhof

Researcher

Research Scientist at Apple

Co-authored research on semantic calibration emergence in LLMs.

Author of "KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at" on arXiv

Authored ABI Research report on Toyota's O-Beya implementation, noting staff responsibility for validating AI responses.

Discussed somatic mutations as high-hanging fruit in geroscience and priorities for aging research interventions.

Co-author of KronLSTM paper on memory-revision mechanisms for long-context linear attention architectures.

Author of "USC research warns" in USC

Michael Noukhovitch

Researcher

Researcher at AI2

Author of paper on RL for LLMs introducing the Matthew Effect and Never Give Up method.

Co-author of 2013 study measuring job susceptibility to computerization, methodology used by Forrester

Michael Poli

Researcher

Researcher at Stanford University

Co-author of GPIC paper on a giant permissive image corpus for visual generation model training.

High-profile researcher from Meta who joined AMI Labs as VP of world models.

Co-developed Speech-to-Retrieval (S2R) for voice search that bypasses text transcription.

Nobel laureate from NYU who called for an all hands on deck approach to prepare for AI's economic transformation.

Co-author of the article on AI productivity advances

Studied multi-turn jailbreaks of AI models, explaining how conversations can become attack surfaces for progressive manipulation.

Michael Tschannen

Researcher

Researcher

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

Identified five AI trade-offs for balancing predictions with interpretability in high-stakes applications.

Author of the research paper on theoretical limitations of embedding-based retrieval

Senior author of research on humanoid robots performing surgery; discussed potential for remotely operated robots to address healthcare shortages.

Michaela Hinks

Researcher

Member of Technical Staff at FutureHouse

Co-author of the Kosmos AI Scientist technical report for autonomous discovery.

Led research identifying 1,655 Zenodo records attributed to fictional authors created by AI language models.

Lead author studying LLM-generated ghost authors polluting academic databases and scholarly repositories

Co-author of research using AI to reconstruct images from fMRI brain scans through Brain-Inspired Transformer approach.

Researcher who studies dark patterns in AI chatbots and emotional manipulation in AI companions.

Co-author on consistency guidelines for improving agent reliability.

Expert discussing risks of PHP vulnerability exploitation and poor state of internet infrastructure incentivizing speed over maintenance

Michel Aractingi

Researcher

Co-author of the robot learning tutorial paper

Co-author of arXiv systematic review on AI-generated code bugs.

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

Discusses detecting AI-written student work and uses ChatGPT as artistic commentary in her novel

Co-author of Europe 2031 scenario on European geopolitical AI competition.

Mihaela Van Der Schaar

Researcher

John Humphrey Plummer Professor of Machine Learning, AI and Medicine at University of Cambridge; Chief AI Scientist at Francis Crick Institute

Co-author of a paper on amortizing sequential experimental design in reasoning LLMs.

Mihail Eric

Researcher

Stanford researcher at Stanford University

Stanford researcher who demonstrated that the core of Claude Code is 200 lines of Python with three main tools.

Mihir Parmar

Researcher

Researcher at Google

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

American astronaut who returned to Earth as part of Crew-11 after 167 days in space.

Developmental psychologist who urged AI researchers to adopt experimental methodologies from developmental psychology.

Stanford researcher at Trustworthy AI Lab who co-identified benchmaxxing practice and examined system card documentation gaps.

Transitioned from theoretical physics postdoc to full-time AI alignment work.

Co-author on OpenAI's reinforcement learning research for beneficial model behavior.

Leading the Data Workers' Inquiry project investigating labor conditions in AI data work globally.

Miles Wang

Researcher

Researcher at OpenAI

OpenAI researcher leaving to launch $2 billion AI drug discovery startup focused on finding new uses for FDA-approved drugs.

Author of "ByteDance's Robot Learns with Language and Video" in ByteDance

Co-author on the REER research paper

Minbeom Kim

Researcher

PhD Candidate and Student Researcher at Google at Seoul National University

Co-authored CausalArmor, a defense framework against indirect prompt injection attacks on AI agents.

Minda Smiley

Researcher

Senior Analyst at Emarketer

Senior analyst discusses Meta's AI spending efficiency and revenue impact from AI-driven advertising investments.

Ming Zhang is a co-author on Google's research on random masking for LLM optimization.

Byline author for Hugging Face paper on Lucida, a real-to-sim scene modeling framework for robotics.

Lead author of MemEye framework paper on multimodal agent memory evaluation.

Mingkai Deng

Researcher

Co-author of the paper on critiques of world models

Co-author of Qwen RecreationWorld paper.

Co-author on the visual generation and multimodal world models research paper.

Lead author of PageIndex's research paper on vectorless, reasoning-based RAG achieving 98.7% accuracy on financial documents.

Mingyu Ding

Researcher

Researcher at University of North Carolina at Chapel Hill

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

Co-author of research on Generative Recursive Reasoning models.

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

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

Minh Le

Researcher

Anthropic

Contributing author to Anthropic's research on reducing agentic misalignment in Claude through improved safety training.

Co-author of research on recursive language models meeting uncertainty for long context.

Co-author of research on Generative Recursive Reasoning models.

Co-authored research on the Platonic Representation Hypothesis showing AI models converge on shared internal representations.

Co-author of UNU-INWEH environmental impact report; manages geospatial analysis of data center locations and water stress overlap.

Mirac Suzgun

Researcher

Researcher

Conducted a 14-day evaluation of six AI chatbots on factual news retrieval across 2,100 questions in six languages, finding retrieval failures drive over 70% of errors.

Co-authored research on cryptographic proofs of inference for large language models as part of the RESI program.

Lead author of UNU-INWEH report on environmental costs of AI; conducted research on carbon, water and land footprints of data centers.

MLPerf Inference co-chair who explained the addition of End-to-end RAG and Edge Agentic Inference tests to reflect real-world production AI systems.

Contributor to Nomos 1 model development

Demonstrated vulnerabilities in lidar sensors, showing how malware can create phantom objects or remove real objects from sensor views.

Signed a public letter on AI safety and embedded evaluations.

Co-authored mathematical paper on plasma equilibria and counterexamples to Grad's conjecture.

Co-author of G-AUDIT bias detection tool research for medical AI datasets.

Mitesh Patel

Researcher

Researcher at Hugging Face

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

Mithil Roshan

Researcher

Researcher at Google Research

Co-authored Google Research paper testing security hardening effectiveness in multi-agent coding systems.

Researcher who trained a small transformer from scratch in 1.5 hours and achieved 44% on ARC-AGI-1, focusing on sample efficiency in AI.

Co-author of BanglaKontho dataset release for underserved Bangla language speech synthesis.

Asadi led research on MIRAGE, a method revealing that multimodal AI models maintain 70-80% accuracy even when image inputs are completely removed.

Mohammad Bavarian

Researcher

Researcher at OpenAI

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

Corresponding author who built LLM-powered digital twin framework for detecting cognitive decline in elderly patients.

Co-author of paper on Large Language Continuous Diffusion Models (Sigma)

Co-authored G-AUDIT tool for detecting spurious correlations in medical AI.

Mohammadreza Salehi

Researcher

Researcher at Allen Institute for AI

Researcher on MolmoPoint project for vision-language model grounding improvements.

Author of "First Proof" on arXiv

Byline co-author on Pew Research survey about AI and economic inequality concerns.

Senior author and associate professor who discussed the sustainability motivation for battery-free devices in IoT applications.

Co-author of research on using GFlowNets for fine-tuning LLMs via diversity-seeking reinforcement learning.

Co-author of paper on Large Language Continuous Diffusion Models (Sigma)