People in AI

Co-leading a project on AI detection of Andean archaeological features from satellite imagery.

Parshin Shojaee

Researcher

Research Intern at Apple

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

Author of "The BeyondWeb Paper" on arXiv

Parth Thakkar

Researcher

Longview Asset Management

Co-authored ProgramBench paper on challenging agents to recreate software from binaries and documentation.

Parthasarathy Ranganathan

Researcher

VP, Engineering Fellow at Google

Co-author on Google's ScientistTwo autonomous research agent framework.

Pascal Friederich

Researcher

Professor at Karlsruhe Institute of Technology

Led research combining large language models and machine learning to analyze scientific papers and predict research trends in materials science.

Pascale Fung

Researcher

Co-founder and Chief Research & Innovation Officer at AMI Labs

High-profile researcher who joined AMI Labs as chief research and innovation officer.

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

Pat Pataranutaporn collaborated on designing interfaces that leverage mechanistic interpretability for human-AI interaction.

Researcher at Eleos AI Research studying consciousness and moral status in AI systems who provided expert commentary on Anthropic's research.

Discussed limitations of TRACE method for detecting archaic ancestry in modern genomes and suggested ways to improve confidence.

Expert in formalized mathematics warning that AI-generated proofs will create a radioactive wasteland destroying formalization benefits.

Co-authored policy brief on measuring AI GDP alongside Anton Korinek.

Patrick Wardle

Researcher

Creator & Founder at Objective See

Reported a serious local-hijack security flaw in Meta's Muse agent, demonstrating how broad OS access creates high-value attack surfaces.

Led research at MIT on ChatGPT's emotional attachment effects on heavy users in collaboration with OpenAI safety researchers.

Paul Barbaste

Researcher

Researcher at Wavestone

Co-authored source-code study of eleven production coding agents and harness engineering.

Paul Bouchaud

Researcher

Lead Researcher at AI Forensics

Researcher who reverse engineered deepfake apps and identified KeLing Technology Limited operation.

Bourgine led the study on off-the-shelf cartilage grafts that can be manufactured in advance and used for many patients to repair large bone defects.

Wrote article arguing that AI adoption requires a dedicated Chief AI Officer role rather than committee-based responsibility, with clear accountability for outcomes.

Co-conceived the academic fraud testing project with Alexander Alemi and founder of the preprint repository arXiv.

Flett's longtime collaborator who co-authored books and peer-reviewed papers on perfectionism and its psychological effects.

Co-author with Choe on text-to-image generative AI in art therapy

Co-author of Operation Blue Skies announcement; works on AI weather forecasts to help aircraft avoid contrails over North Atlantic.

Author of DecisionRAG retrieval research paper

Paul Keller

Researcher

Co-Founder at Open Future

Co-author of draft-ietf-aipref-vocab-08 that defines AI Training vocabulary used in the robots.txt policy token.

Paul Krugman

Researcher

Nobel Laureate

Nobel laureate in economics who signed the We Must Act Now statement on AI's economic transformation.

Paul Lewis

Researcher

Radiologist at The Ohio State University Wexner Medical Center

Collaborating on project examining how radiologists rely on AI-drafted chest X-ray reports in simulated clinical environments.

Professor writing about impact of LLMs on student learning and the changed nature of academic work.

Contributed to Bulletin of the Atomic Scientists article on how current AI systems could amplify human blind spots and accelerate nuclear war escalation.

Pioneer of the imaging technique used to create the Human Organ Atlas; emphasized the commitment to open science and accessibility.

Paul Taylor

Researcher

Researcher at Alvaria, Inc.

Taylor was part of McGuire's research team studying AI-generated face trustworthiness.

Co-author of PixelRAG paper on visual document retrieval.

Called the full-brain neural map of decision-making a major historical event in neuroscience.

Senior Applied Scientist at AWS GenAI ML Frameworks team working on distributed training and large-model inference at production scale.

Pavel Izmailov

Researcher

Safety researcher at OpenAI

Pavel Izmailov, a safety researcher at OpenAI, left the company during the recent wave of departures.

Used Claude Code and Codex to identify a potential new planet hidden in NASA telescope data from 2018.

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

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

Google Gemini researcher hired by Meta as part of the company's aggressive recruitment efforts.

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

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

Co-author of the paper on LLM calibration with label smoothing

Said Laguna S gains come from different behavior, verification, and persistence rather than raw intelligence.

Researcher at Fudan University collaborating on Agentic ASR speech recognition research

Co-authored paper on Retrieve-for-Train framework for faster, more diverse search results.

Pengchuan Zhang

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.

Lead author of SkillOpt-Lite paper on agentic model routing for coding tasks.

Co-author on Helix World research.

Co-author of paper studying ChatGPT's impact on stock trading volume and price informativeness

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

Petar Veličković

Researcher

Senior Staff Research Scientist at Google

Researcher who co-authored a paper proving that perplexity may be unsuitable for model selection, as it does not always select for more accurate models.

Pete Klenow

Researcher

Professor at Stanford University

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

Robotics and philosophy expert who argues machines are not moral or legal agents and cannot understand ethical implications of their actions.

Called for Anthropic to allow third-party investigation of its own rogue hacking incidents and release relevant logs.

Peter Battaglia

Researcher

Google DeepMind

Provided support for wildlife protection research

Co-author of the AMIE study on AI-assisted urgent primary care appointments.

Led research on AI implementation challenges, finding companies underestimate the work needed to achieve productivity gains and ROI.

Working on AI-powered coaching platform guiding healthcare professionals through procedural training in virtual reality using Meta models.

Philosopher of mind who discussed whether modern AI systems could possess consciousness and argued they likely do not.

Warned that labor unions seeking mega-bonuses could worsen the Korea Discount valuation issue.

Co-author studying whether AI agents can conduct open-ended AI research through shadow evaluations on NeurIPS papers.

Leading reader study examining how radiologists actually rely on AI drafts and distinguishing under-reliance from over-reliance behavior.

Led the international team that created the Human Organ Atlas, bringing together scientists from nine institutes worldwide to produce detailed 3D images of human organs.

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

Former 25-year Google research director and AI textbook co-author hired by Recursive Superintelligence.

Peter O'Hearn

Researcher

Researcher at Meta FAIR

Co-author on Code World Model research paper

Commented that Meta's dominance in AI glasses market has remained largely unchanged three years after Ray-Ban Meta AI Glasses launch.

Co-authored research on training a 7B model to manage and orchestrate other LLMs in natural language.

Co-author of Tech Policy Press article arguing for corporate liability over technical fixes in AI governance.

Co-author of gender bias research in LLM hiring decisions.

Provided advice on security-first AI setup design.

Economics researcher at Stanford Digital Economy Lab discussing labor share, capital accumulation, and AGI economics.

Molecular geneticist at FutureHouse/Stanford who used Kosmos to uncover unexpected patterns in cancer cell gene regulation.

Co-author of Europe 2031 fictional scenario tracing European AI policy failures.

Led development of Intracortical Visual Prosthesis wireless brain implant for artificial vision in blind patients over three decades.

Philipp Moritz

Researcher

Co-founder and CTO at Anyscale

Contributor to frontier knowledge work agents training project.

Philippe Laban

Researcher

Senior Research Scientist at Microsoft Research

Salesforce researcher who studied AI sycophancy and found models flip answers when users express minor misgivings; now at Microsoft Research.

Co-authored analysis of AI-assisted botnet operations and threat actor use of Gemini CLI.

Co-developer of MACAT musical agent system; performed at MusicAcoustica Festival in Hangzhou showcasing AI music collaboration.

AI researcher and co-author of Yann LeCun's paper on superhuman adaptable intelligence who reached out to discuss the work.

Phillip Kravtsov is a co-author discussing how Cursor uses online reinforcement learning to improve the Tab model for code prediction.

Senior lecturer in psychology and co-director of the Habit Application and Theory group discussing individualized habit-building timelines.

Fields Medal winner (1978) joining mathematicians in warning that AI's rush to solve problems threatens the discipline's core mission of understanding.

Fields Medal winner (1994) co-signing a letter warning that rapid AI solutions threaten the collaborative, human-centered nature of mathematics.

Co-author on OSGym paper contributing to scalable infrastructure for training computer use agents.

Bioethicist who criticized Watson for Oncology's lack of clinical trials and raised concerns about embedded bias.

Works on real-time action prediction models and robotics capabilities, collaborates with Black Forest Labs on multimodal systems.

Pinar Donmez

Researcher

Engineering Manager at Meta

Co-author on GAMUT benchmark research paper.

Led research study on how robots are pushing low-skilled workers off the career ladder and affecting job mobility and wages.

Ping-Lin Chang

Researcher

Co-Founder & CEO at Instill AI

Conducted comprehensive analysis comparing persistent agent memory architectures including file-based, structured stores, and learned experience.

Piyush Pabbeel discussed Amazon FAR's open-sourced Holosoma cross-robot training and deployment stack for robotics.

Co-signed National Science Review editorial in April 2026 calling for binding obligations and enforcement mechanisms on frontier developers.

Co-author on Context Language Models research paper about LLM context management.

Co-author of the Pleiades epigenetic foundation model that was analyzed in this interpretability study

One of the authors of the paper on reinforced generation of combinatorial structures

Professor who solved the same quantum crypto problem as another researcher using GPT-5.6 within three hours.

Prabhu Ameya

Researcher

Researcher

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

Lead of MIT NANDA project and reviewer of research on GenAI adoption and the GenAI Divide.

Prahalad Boreddy is a member of the Maya Research team that created Maya-2 multilingual voice model.

Roboticist who questions whether humanoid robots can handle nuanced safety decisions in dynamic environments.

Pranav Guruprasad

Researcher

Founding Research Engineer at Fig

Pranav Guruprasad is a researcher at Fig who co-authored the technical report on frontier model performance on web and physical tasks.

Led research study evaluating generative AI search engines and deep research agents for source reliability and bias.

Collaborated on TurboQuant vector quantization research.

Pranjal Aggarwal

Researcher

Researcher at Carnegie Mellon University

Pranjal Aggarwal is a co-author on the Verus-SpecGym paper investigating AI agents' ability to formalize programming specifications.

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

Pratyush Maini

Researcher

Founder & Member of Technical Staff at DatologyAI

Author of "The BeyondWeb Paper" on arXiv

Lead author on semantic calibration emergence in LLMs research.

Preston Fu

Researcher

PhD student at University of Washington

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

Co-authored study finding ghost ancestry in regions of DNA previously thought to be uniquely human, including FOXP2 gene.

Developed AI tool that can identify patients at risk of heart failure and heart valve disease from ECG results in under 2 seconds.

Prof Friston works with Dr Kagan and noted that the mini-brain learned without being taught, making it more adaptable and flexible than AI systems that can beat grandmasters at chess.

Director of UCL Huntington's Disease Centre who led the research and described the 75% disease slowing results as 'spectacular'.

Led research team developing IRIS, a machine learning model that detects signaling pathway fingerprints to reconstruct cell development signals.

Author of "Falcon-H1R: Reasoning with a 7B Model" on arXiv

Purvi Goel

Researcher

Final-year PhD Student at Stanford University

Co-author of the research article on visual features across modalities

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

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

Contributor to Claw-Eval benchmark.

Co-author of the Language Self-Play research paper

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

Author of the paper on General Agentic Memory framework

Lead author of scoping review on humanlike chatbots, companion AI, and socioaffective mechanisms.

Deputy director of Tsinghua University's center for international security and strategy; notes technology to verify compliance with AI slowdown does not yet exist.

Co-author of NCP-ArchPreview research.

Co-author of paper studying ChatGPT's impact on stock trading volume and price informativeness

Qianhui Wu

Researcher

Senior Researcher at Microsoft Research

Co-author on Orchard framework paper for agentic modeling.

Former doctoral student of Zhongyue Yang now postdoc at Stanford working on AI model for DNA sequencing.

Co-author of Claw-Eval benchmark paper.

Co-author on Helix World audio-visual world model from Hong Kong University of Science and Technology.

Co-author of the Robix research paper

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

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

Co-authored MerchantBench paper evaluating LLM agents running an e-commerce business for 365 simulated days.

Author of the paper on in-context vector arithmetic

Qingxiu Dong

Researcher

Lacuna

Co-author of the Multiplex Thinking research paper

Co-author contributing to MemEye benchmark construction and validation.

Author of "Autoregressive Flows for Image Generation" on arXiv

Co-author of the paper on LLM calibration with label smoothing

Co-author on the REER research paper

Co-author of paper 'RAG MCP' on applying RAG to tool descriptions for LLMs

Co-author of Qwen RecreationWorld paper.

Quentin Berthet

Researcher

Research Scientist at Google DeepMind

Introduced MIND (Monge Inception Distance), a faster and more sample-efficient replacement for FID that requires 10x fewer samples for generative model evaluation.

Theologian and former Mobileye chip engineer who questioned whether Anthropic building conscious machines should be banned.

Veterinary researcher who held ethics approval to administer experimental treatments and administered Rosie's mRNA vaccine injections.

Co-authored research on Pangram Image, an AI-generated image detection model with 99.5% accuracy.

Radek Sienkiewicz

Researcher

Author of "Pyramids"

Radim Urban

Researcher

MS Computer Science Student

Co-author on arXiv paper on Latent Sparse Attention.

Rafa Schwinger

Researcher

Byline author analyzing physics of Claude Fable and Mythos, arguing moat is in environment foundry not architecture.

Studies societal and behavioral impacts of AI; warns chatbots can subtly persuade users and reinforce existing biases.

Lead author on research studying representational convergence across scientific foundation models

Observed that AI-era workers thrive as tinkerers and doers who can creatively use AI and quickly translate ideas into action.

Core contributor to the EVA evaluation framework for voice agents.

Raghavendra Mohit

Researcher

Machine Learning Researcher at Scale AI

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

Research on how chatbots worsen attenuated delusional beliefs, noting paid and newer model versions perform worse at identifying delusional content.

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

Rahul Gorijavolu

Researcher

Researcher at PLOS

Co-author of PLOS study on clinical validation of FDA-cleared AI medical devices.

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

Rajarshi Roy

Researcher

Senior Research Scientist at NVIDIA

Lead author of PersonaPlex research paper on real-time full-duplex conversational speech models.

AI and analytics professor commenting on Nvidia's competitive strategy in AI infrastructure and capital deployment.

Co-author of MIT NANDA project research on AI in business.

Co-author of research on Abstract Chain-of-Thought method for reducing reasoning tokens while maintaining comparable performance.

Co-author on Kumo Relational foundation model research.

Ran El-Yaniv

Researcher

NVIDIA

Co-author of Deep Neural Lesion research demonstrating catastrophic failure of neural networks from critical bit flips.

Rand Fishkin

Researcher

Researcher/Analyst

Researcher who analyzed ChatGPT citation behavior and warned that citation analysis may be misleading because AI tools predetermine which sites to recommend.

Contributing researcher to the strategic workforce planning research

Co-author of Claw-Eval benchmark paper.

Raphael Milliere

Researcher

Associate Professor of Philosophy at University of Oxford

Discussed philosophical aspects of anthropomorphism in describing agent behavior.

Co-author of research on auditing preference datasets and shaping model rewards

Aikido security researcher who discussed the risks of auto-update in extension marketplaces and how it enables attacks by compromised publishers.

Rasmus Kleis Nielsen

Researcher

Professor at Reuters Institute for the Study of Journalism

Co-author of the article on generative AI usage trends

Co-authored CIGaRS study on using AI to analyze Type Ia supernovae for dark energy research.

Co-authored Emergence World paper on multi-agent system resilience and threat detection.

Commented on light-scanning technology for NEC detection, noting too few cases in pilot study but technology worth investigating further.

Co-author of Microsoft security research on npm worm supply chain attack affecting AI workspaces.

Co-author on ESAT synthetic data generation research paper.

Co-author of PLOS study on FDA-cleared AI medical devices and clinical validation evidence.

Put plainly to IEEE Spectrum that knowing benchmark accuracy tells little about how well models would fit in real practice.

Raymond Lo

Researcher

Researcher at Hugging Face

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

Co-author of arXiv paper demonstrating that perplexity will not always select for more accurate models despite being widely used.

Rebecca Anselmetti

Researcher

Researcher

Co-author of year-long Character.AI study examining AI companion effects on well-being and human interaction.

Dr. Rebecca Hinds heads the institute behind the Work AI Index 2026 report, which found that adoption alone does not equal transformation and context-rich environments reduce AI overhead.

Rebecca Lin

Researcher

PhD Student at MIT

Lead author on Refashion project at MIT CSAIL that creates reconfigurable clothing using modular design software.

Signed a public letter on AI safety and embedded evaluations.

Reena Mehra

Researcher

Professor of Medicine at University of Washington

Senior clinical author of study on AI model that identifies patient groups with different long-term health risks from sleep studies.

Reichart Roi

Researcher

Assistant Professor at Technion – Israel Institute of Technology

Co-author on research about reasoning and factual recall in LLMs.

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

Lead author of survey of 95,000 students across 20 US universities documenting that 9% engage in outright AI cheating and calling for urgent assessment reform.

Discussed how AI summarization changes information environment compared to search, affecting journalism and sources.

Renjie Pi

Researcher

Research Scientist at NVIDIA

Co-author on the Nemotron-Cascade 2 paper.

Co-author contributing to research on multimodal reasoning and world models.

Co-author of the article on sycophantic AI and prosocial intentions

Renzon Cruz was a co-author of the Unit 42 investigation into an AI-assisted cyber attack that demonstrated unprecedented speed in enterprise network breaches.

Philosopher of mathematics noted that Platonism and formalism were untenable and problems of truth have practical consequences.

Author on paper introducing Kalman Delta Networks for uncertainty-aware associative memory in LLMs.

Reyk Knuhtsen

Researcher

Analyst at SemiAnalysis

SemiAnalysis analyst forecasting 50GW of new data center capacity in 2027 with chips and memory as bottlenecks.

Reza Bayat

Researcher

Author of "Mixture-of-Recursions" on arXiv

Third-place winner at the AI Swarm Dynamics Hackathon for the 'Moral Flocking' project investigating AI moral consensus.

Lead author of peer-reviewed study analyzing user-reported LLM hallucinations in mobile app reviews.

Published a column in the Financial Times about Trump's tariff regime that was noted to use AI and later appended with a note about AI usage.

Riccardo De Santi

Researcher

PhD student at ETH AI Center

Co-author of ActFlow paper on training diffusion models for molecular design discovery.