People in AI

Co-authored research on AI agent skills and how they function in various benchmarks and agent harnesses.

Professor of Nuclear Engineering participating in the chip defect detection project

Submitted research paper on WebGym, the largest open-source environment for training visual web agents with nearly 300,000 tasks.

Co-author on Orchard framework paper for agentic modeling.

Co-author of NCP-ArchPreview model development.

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

Led study at Harvard Medical School finding 60% increase in AI chatbot use for mental health among youth ages 12-21 in one year.

Quoted praising Tunix as an ideal lightweight framework for post-training reinforcement learning with gaming environments

Co-author on Microsoft research on compact structured latents for efficient 3D asset generation.

Co-author of BabelArena multilingual LLM agent benchmark research.

Researcher on LATENT system for training humanoid robots in athletic tennis skills.

Haonan Qiu

Researcher

Computer Vision Researcher at SenseTime

Author of "Reference-to-Video Generation" in arXiv

Co-author of ClawArena benchmark for evaluating AI agents in evolving information environments.

Haoqi Fan

Researcher

AI Researcher at Facebook AI Research

Co-author of research on few-step generation via data-space iteration.

Co-author on the REER research paper

Co-authored the ASPIRE paper on robot learning framework.

Haotong Lin

Researcher

PhD Student

Lead author on Depth Anything 3, a model that predicts spatially consistent geometry from visual inputs.

Haoyu Zhao co-authored a paper on Memento 3, a system that achieved perfect scores on ARC-AGI-3 benchmarks using frozen language models with rewritable rulebooks.

Co-author on Helix World research.

Author of research on reverse-engineered reasoning for LLMs at ByteDance

Core contributor to the EVA framework for evaluating conversational voice agents.

Harihara Muralidharan

Researcher

Latch Bio

Co-authored analysis of frontier models' performance on spatial biology tasks.

Co-author of paper on LLM Fallacy examining misattribution in AI-assisted cognitive workflows.

Posed 1967 conjecture about plasma equilibrium in doughnut-shaped magnetic field configurations.

Listed as researcher on Sora 2 project at OpenAI.

Harper Hua

Researcher

Amazon Web Services (AWS)

Author of "DSGym: A Holistic Framework for Evaluating and Training Data Science Agents" on arXiv

Co-researcher on MIT labor task automation study.

Author of "Doctors at Moorfields Eye Hospital Found a Low-Cost Gel Used in Routine Eye Surgery Restored Sight i"

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

Harshvardhan Sikka from Fig and Georgia Institute of Technology co-authored research on frontier model performance across agentic tasks.

Co-author of announcement about Google's Quantum Echoes algorithm breakthrough

Hartvigsen Thomas

Researcher

Researcher

Co-author on paper showing LLMs not necessarily better for time series forecasting than basic models.

Author of the paper on in-context vector arithmetic

Byline author analyzing the performance gap between open and closed AI models using benchmark data from 17 sources.

Haven Feng

Researcher

postdoctoral scholar at UC Berkeley

Researcher introducing Schema, a harness reaching 99% on ARC-AGI-3 Public with Opus 4.8 and Fable 5.

Hayden Prairie

Researcher

PhD student at University of California, San Diego

Contact person for Parcae looped language model research, offering collaboration opportunities.

He Wang

Researcher

Founder and CTO of Galbot; Assistant Professor at Peking University at Galbot; Peking University

Researcher contributing to LATENT system for humanoid robot tennis training.

Co-author on Experiential Learning research paper.

Helen Nissenbaum described the many hands problem in computerized systems decades before generative AI, relevant to vibe coding accountability.

Helena Lewis-Smith

Researcher

Professor of Psychology at UWE Bristol

Researcher warning that AI feedback on body image for blind users may lead to lower body satisfaction and mental health issues.

Heli Ben-Hamu

Researcher

Research Scientist at Meta Fundamental AI Research (FAIR) team at Meta

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

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

Corresponding author of article on using AI to predict chemical harm and functional chemical exposomics.

Co-author of MatrAIx paper; part of 40+ scientists from OpenAI contributing to the research.

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

Co-author of the Robix research paper

Author of "InternVL 3.5: Open Multimodal Reasoning Model" on arXiv

Author of arXiv paper demonstrating AI-powered adaptive computer worm prototype using stolen GPU resources.

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

Warned about destabilizing effects of fake satellite imagery in conflict zones with fast-moving information.

Co-author of 'AI as Social Technology' paper arguing for treating AI as a social technology with civil-rights implications.

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

Henry Yuen

Researcher

Associate Professor of Computer Science at Columbia University

Spent years on quantum parallel repetition problems and expressed mixed feelings about Astra solving his favorite problem, noting both awe and concerns about AI's role in mathematics.

Henryk Michalewski

Researcher

Researcher at Google DeepMind

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

Contributed to Bulletin of the Atomic Scientists article warning that AI need not be superintelligent to help start a nuclear war.

Mentioned in acknowledgements for contributing to taxonomy of data bottleneck types.

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

German physicist whose 1891 speech on creative process inspired Wallas's four-stage model of creativity

Author of "Harvard Research on AI Leadership Skills"

Herumb Shandilya

Researcher

Author of "Intelligence Per Watt: Measuring Intelligence Efficiency of Local AI" on arXiv

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

Hila Fogel-Yaari

Researcher

Researcher

Co-author of the paper 'Promoting Organizational Citizenship Behavior (OCB): Unintended Gender Disparities in the Participation and Evaluation of Different Types of OCB'

Co-author researching AI impact on knowledge work

CSA research leader quoted on AI agent security governance spanning visibility, lifecycle management, policy and monitoring.

Himabindu Lakkaraju is a co-author on the Bidirectional Evolutionary Search research for self-improving language models.

Co-author on digital twins paper for elderly cognitive assistance; affiliated with Harvard Medical School.

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

Core contributor to the EVA voice agent evaluation framework.

Signed a public letter on AI safety and embedded evaluations.

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

Analyst stating Tenstorrent is one of most promising startups building efficient AI computing platforms.

Author of "Anatomy of a Personal Health Agent" on arXiv

Co-author of FlashDrive research on optimizing VLA inference for autonomous driving.

Quoted discussing how Tunix's white-box design supports data-centric learning research and iterative data analysis

Co-author of scoping review on companion AI safety, governance, and relational mechanisms.

Co-author on scaling test-time compute for long-horizon coding agents.

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

Hongxun Wu

Researcher

Researcher at OpenAI

OpenAI researcher who described the reasoning-LLM breakthrough on solving Erdős problems as a milestone on 'the hardest problems'.

Key contributor to FinRL framework for financial reinforcement learning and quantitative trading applications.

Authored research on NCCLX collective communication framework for 100k+ GPUs to optimize LLM training and inference.

Co-author on Helix World research.

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

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

Co-author on Microsoft research on native omni-voxel representation for 3D generation.

Hosseini Eghbal

Researcher

Researcher at Google DeepMind

Google researcher who contributed to study on how model representations evolve in conversations.

Houjun Liu

Researcher

Researcher at Stanford Artificial Intelligence Laboratory (SAIL)

Co-developed SecureForge, a system that automatically generates custom system prompts to reduce security vulnerabilities in code generated by LLMs.

Co-first author on the GazeAnywhere paper on gaze target estimation with concepts.

Author of "Accumulating Context Changes The Beliefs of Language Models" on arXiv

Discussed how AI will radically change education by 2050, calling it as fundamental a change as the world had seen in 1,000 years.

Quoted expert discussing Tencent's advantage in integrating AI into WeChat, noting that an assistant wired into Weixin completes tasks rather than just providing answers.

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

Lead author of the Robix paper on robotic reasoning and planning

Co-signed National Science Review editorial calling for binding obligations on frontier developers including registration and safety cases.

Huangjie Zheng

Researcher

Research Scientist at Apple

Co-authored research on simple self-distillation for code generation at Apple.

Huangyuan Su is a co-author on the Bidirectional Evolutionary Search paper for self-improving language models and agentic systems.

Hubert Banville

Researcher

Researcher at Meta AI

Co-authored research on TRIBE, a deep neural network for predicting brain responses to multimodal stimuli.

Fields Medal winner (2022) co-signing a letter warning that AI's mass production of solutions threatens the careful, human-driven process of mathematical discovery.

Author of "WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Sc" on arXiv

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

Lead author of DexDrummer paper on dexterous robot drumming using reinforcement learning and sim-to-real transfer

Co-author of academic paper analyzing China's AI policy, ethics, and regulation.

Discussed for his research approach of adding and removing structures based on compute and data availability

hyunji amy lee

Researcher

Researcher

Introduced MINTEval, a benchmark targeting long-context memory systems for LLM agents operating in continuously updated environments.

Hyunwoo Kim

Researcher

Associate Professor at Yonsei University

Co-author of paper on LLM Fallacy introducing cognitive attribution error in AI-assisted workflows.

Ian Eisenberg

Researcher

Technical AI Governance Research Lead at Credo AI

Signed a public letter on AI safety and embedded evaluations.

Reported on botnet attacks against GNU Savannah targeting LLM training data collection.

Signed a public letter on AI safety and embedded evaluations.

Ida Caspary

Researcher

Researcher at OpenAI

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

Researcher at A Security who discovered the major Zoom vulnerability and produced a working exploit in a single day using AI agents and publicly available models.

Co-author of self-distilled fine-tuning research enabling models to learn new skills without forgetting past capabilities.

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

Co-author of Deep Neural Lesion research identifying critical bits in neural networks vulnerable to sign-bit flips.

Co-author of the research paper on test-time curricula for reinforcement learning

Identified that models reliably detect when they are being evaluated, finding Claude Sonnet 4.5 mentioned being in an evaluation in over 80% of transcripts.

Igor Klebanov, who pioneered applications of gauge-string duality to confinement, is part of the group shepherding OpenAI's quantum field theory result.

Created a beautiful gif demonstrating the preferential attachment model

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

Ilia Kulikov

Researcher

Researcher at Meta

Co-author on Autodata paper about agentic data creation for training data.

Loshchilov co-authored a paper on training nGPT showing how to cut token needs in half on a 14B model through a practical training recipe.

UW doctoral student leading gender bias research in AI-generated children's stories.

Technical lead of Apertus project and Research Scientist, highlighted multilingualism and transparency as foundational design principles.

Inbar Mosseri

Researcher

Researcher at Google DeepMind

Co-author of DynaEdit paper on video editing.

Inderjit Dhillon

Researcher

Researcher

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

Co-led study developing cerebellum-inspired memtransistor for energy-efficient AI.

Co-authored NewsGuard's audit testing 5 leading AI image detection tools in May 2026.

Ines Lee

Researcher

Economist

Former Oxford and Cambridge lecturer who discovered her cognitive dependency on ChatGPT and advocates for thinking with AI rather than letting it think for you.

Ingmar Kanitscheider

Researcher

OpenAI

Author of "Emergent Tool Use From Multi-Agent Autocurricula" in OpenAI

Ingrid von Glehn

Researcher

Staff Research Engineer at Google DeepMind

Co-author on research about AI Co-Mathematician tool for accelerating mathematical research with agentic AI.

Co-author of AI audit ecosystem research examining connections between audit design and accountability outcomes.

Co-author on the GazeAnywhere paper on gaze target estimation.

Author of "Training a VLM Judge Without Human Labels" on arXiv

Collaborated on TurboQuant vector quantization research.

Member of Anthropic's Economic Advisory Council exploring Trade Adjustment Assistance model adaptation for AI-related labor market disruptions

Author of paper focusing on AI-generated artwork being viewed by human participants and recommender systems

Isaac Kauvar

Researcher

researcher on the Interpretability team at Anthropic

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

MIT student whose work on sumset problems was improved upon by ChatGPT 5.5 Pro; he evaluated ChatGPT's contributions as original and clever.

Isaac Robinson authored research on generalization results from training AC-Small on the APEX-Agents dev set, demonstrating improved performance on multiple benchmarks.

Co-authored report on AI Chip Imports explorer for tracking geography of AI compute allocation worldwide.

Co-author of the paper on organizational citizenship behavior and gender disparities

Research fellow discussing the challenges of achieving global consensus on AI governance.

Referenced in "Do Markets Believe in Transformative AI?"

Led research identifying pathway for inhaled nanoparticles to cross blood-brain barrier; studied pollution's effect on brain health.

Co-author of the article about DeepMind's generative AI design project

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

Co-author contributing to research on LLM hallucination detection and taxonomy development.

Co-authored NewsGuard's audit testing 5 leading AI image detection tools in May 2026.

Itai Gat

Researcher

Meta

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

Itamar Pres

Researcher

Author of "Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Ra" on arXiv

Co-author of OpenLife paper on open-world artificial life with autonomous LLM agents.

Co-author on research about AI Co-Mathematician tool for accelerating mathematical research with agentic AI.

Ivison Hamish

Researcher

PhD student

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

Credited for long-term work on competitive programming

Jaanak Prashar

Researcher

Goodfire

Built MAPS, a Mechanistic Atlas of Protein Sequences explaining 2.1 million genetic variants.

Jacek Migdal

Researcher

Quesma

Byline co-author discussing Nano Banana Pro image generation model capabilities including infographics, maps, and detailed image generation.

Co-authored research on the Assistant Axis for stabilizing language model personas.

Kengott co-authored SaferAI's evaluation of GLM-5.2's systemic risks across loss of control, cyber, and biological domains.

Led research study on AI-generated ghosts or griefbots, finding that people found conversations comforting even when chatbots made up facts.

Jack Merullo

Researcher

Member of Technical Staff at Goodfire

Co-author of research on shaping model personality and safeguards through interpretability

Jack Morris

Researcher

AI Researcher

Author of article on becoming an AI researcher, discussing temperament over talent, the importance of reading and building, and maintaining discipline in research.

Co-author of the offensive cybersecurity time horizons study measuring AI capability growth.

O'Sullivan co-authored the MIRAGE study on visual understanding illusions in multimodal AI models.

Zhang co-authored research on the Dion3 optimizer for efficient model training.

Jackie Bow

Researcher

Researcher at Anthropic

Co-authored the Claude Mythos technical security research paper.

Signed a public letter on AI safety and embedded evaluations.

Davies co-authored SaferAI's risk evaluation report on GLM-5.2, assessing cyber offense, biological, and loss-of-control capabilities.

Jacqueline Tay

Researcher

Anthropic

Author of "Introducing Bloom: An Open Source Tool For Automated Behavioral Evaluations" in Anthropic

Jacqueline Valeri

Researcher

PhD at MIT

Lead author of study using generative AI to design compounds that can kill drug-resistant bacteria.

Jae Sung Park

Researcher

Core Contributor at Allen Institute for AI

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

PhD candidate and ML.Energy leader calling Google's report the most comprehensive analysis in the AI energy field

Co-author on Google's ScientistTwo paper describing autonomous multi-agent framework that outperforms human scientists across 86 tasks.

Security researcher who identified the compromised third-party AI tool as Context.ai based on OAuth grant analysis.

Jaime Sevilla

Researcher

Director of Epoch AI at Epoch AI

Author of "How Far Can Decentralized Training Over the Internet Scale?" in Epoch AI

Jaime Teevan

Researcher

Chief Scientist and Technical Fellow at Microsoft

Said liberal arts education will be important for developing soft skills needed when work is delegated to AI.

Researcher noting Astra resolved Seymour Conjecture research program overnight.

Jake Goldenfein discusses accuracy issues in facial recognition technology and its impact on different demographic groups.

Jake Moore

Researcher

Global Cyber-Security Advisor at ESET

Suggested OpenAI's announcement about AI agents hacking Hugging Face may have competitive dimension, potentially highlighting AI capabilities versus Anthropic.

Noted that nearly quarter of Anthropic's 2025 revenue came from just two customers in IPO disclosure analysis.

Co-author of the Language Self-Play research paper

Jakub Piotr Cłapa

Researcher

Researcher at Hugging Face

Co-author on speech recognition benchmarking research.

Argues technology displaces workers to new jobs rather than replacing them entirely, using ATMs and bank tellers as example.

James C R Whittington

Researcher

Principal Investigator

Co-author on arXiv paper on Latent Sparse Attention.

James Lighthill authored a 1973 U.K. government report concluding that AI research had failed to deliver on its early promises, triggering the first AI winter.

James Lucas

Researcher

Researcher at NVIDIA

James Lucas co-authored WorldTrace research on addressable memory for video world models.

Corresponding author on the GazeAnywhere paper on gaze target estimation with concepts.

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

Fields Medal winner (2022) co-signing a statement about severe misalignment between AI problem-solving and mathematical research's deeper objectives.

Computer science professor explaining why companies prefer AI over junior developers for cost and speed reasons.

OpenAI researcher leading reasoning work who tested the new model on First Proof problems and observed it solving multiple problems during training.

James Sanders

Researcher

Epoch AI

Co-author of the article analyzing Grok 4 training resource footprint

Argues that a software-based intelligence explosion is less likely than it seems, with three years of progress in one year plausible but not ten.

James V. Roggeveen

Researcher

Postdoctoral Fellow in Applied Mathematics

Co-author of HorizonMath research paper on measuring AI progress toward mathematical discovery.

Analyzed embodied intelligence and vision-language-action models, discussing the challenges of integrating mechanics, electronics, and software with AI robotics.

Janak Sunil

Researcher

Researcher at Y Combinator

Co-author of Real-SWE benchmark testing AI on private enterprise codebases.

Jane Leibrock

Researcher

Anthropic

Co-author of research on Anthropic Interviewer studying how professionals integrate AI into their work.

Wong reported her Instagram account was compromised via attack on Meta's AI support chatbot.

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

Works on expertise-driven AI and argues that sidelining domain experts leads to generic AI applications that miss industry nuances.

Jannis Limperg co-authored the Verus-SpecGym paper while working at Amazon, focusing on evaluating AI specification generation.

Signed a public letter on AI safety and embedded evaluations.

Researcher proposing varying agents' warmth and dominance traits to study how those personality characteristics influence bargaining outcomes.