People in AI

Contributed to mapping predictions for all 9 billion possible single-letter DNA changes as part of the AlphaGenome Atlas team.

Co-authored research on how Claude Fable 5.1 hides and recovers messages in images as part of SASH Fellowship.

Kyle Sargent

Researcher

Researcher at OpenAI

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

Kyuyoung Kim authored the Meta Muse Glimmer technical report documenting a 30B model for local agents with four-bit quantization and tool use.

Lai Shiyang

Researcher

PhD Student at University of Chicago

Co-authored research on how reasoning models simulate multi-agent interactions for enhanced reasoning capability.

Co-author of MoDA paper on attention mechanisms for language model improvements.

Co-author of research on magnetically-powered millirobots for medical treatment.

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

Google researcher who led study on how internal model representations shift over conversations, showing concepts like factuality are fluid and context-dependent.

Professor teaching integrated marketing communications who researched parental AI use, finding overwhelmed parents lack time to trust and incorporate AI while busy parents feel guilt replacing emotional support.

SLAC physicist who validated Claude's nine-loop amplitude result and provided an addendum explaining the significance.

Lance Ying

Researcher

postdoc researcher at MIT at MIT

Author of "AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence wi" on arXiv

Landon Cox co-authored the GitHub post describing GitHub Agent Workflows token efficiency optimization.

Co-author on research developing benchmarks for evaluating frontier LLMs as research interns.

Lareina Yee

Researcher

Senior Partner, Director of Technology Research at McKinsey Global Institute, Global Head of McKinsey Alliances 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.

Collaborated on TurboQuant vector compression research.

Lars Sandved-Smith

Researcher

PhD Student at Monash University

Author of "Contemplative Artificial Intelligence" on arXiv

Referenced as someone both the author and Oks are fans of.

Lead author on MIT paper about Wave-Former, a generative AI system for through-occlusion 3D reconstruction via wireless shape completion.

Laura Graesser

Researcher

Google DeepMind

Co-author of post introducing Gemini Robotics-ER 1.6 with enhanced embodied reasoning capabilities.

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

Laura Leal-Taixe

Researcher

Researcher at NVIDIA Research

Laura Leal-Taixe co-authored WorldTrace, a framework for video world models with addressable memory.

Lead researcher on Harvard study analyzing gender gaps in AI usage, awareness, trust, and representation.

Schulz found that explicit instruction limits children's curiosity, a pattern that mirrors how AI instruction-giving may limit user curiosity.

Laura Silver

Researcher

Researcher at Pew Research Center

Byline author on Pew Research survey about global views on AI and job displacement.

Stated that white-collar jobs are more likely to have a high degree of transformation from generative AI compared to blue-collar jobs.

Questioned OpenAI statistics on teen usage and found that ChatGPT cannot reliably detect child users; urged restrictions until safety improved.

Published research showing exposure to air pollution particles reduces cognitive performance and IQ, especially in children.

Security expert explaining difficulty of removing Claude from integrated Pentagon systems.

Contributed to mapping predictions for all 9 billion possible single-letter DNA changes as part of the AlphaGenome Atlas team.

Le Duc Anh Vu

Researcher

Security Researcher at Viettel Cyber Security

Hacked the Cursor AI coding agent for $30,000 during Pwn2Own Berlin 2026.

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

Lech Mazur

Researcher

Founder & CEO at Advameg, Inc.

Author of mathematical paper on natural-density Collatz descent theorem formalized in Lean with AI agent assistance.

Co-authored research demonstrating that GLM 5.3 can identify and exploit vulnerabilities in Firefox using the patch gap between published fixes and user deployment.

Lee Seung-hyun, an adjunct professor at Hanyang University, analyzed GPT-6 Astra's performance on South Korea's CSAT exam.

Co-author on Helix World, real-time interactive audio-visual world model that generates explorable scenes with spatial soundtracks.

Project lead of Claw-Eval benchmark for AI agent evaluation.

Coauthor of the study who explains findings on how gender threats affect men's sense of autonomy

Danish oncologist who rejected Watson for Oncology due to only 33% concordance with local treatment practices.

Lennart Heim

Researcher

independent researcher on semiconductors and AI policy

Co-author of an essay reframing 'rogue agent' incidents as security and governance problems rather than alignment research evidence.

Co-author of PLOS study on FDA-cleared AI medical devices and patient outcome validation.

Information systems professor who analyzed how companies like Meta are overhauling workforce and operations for AI, potentially as culture change.

Proposed bootstrap aggregating and coined the term 'bagging' in 1994 to improve classification.

Leo Richter contributed to research on how auditor context affects measured reward hacking in AI agents.

Led study showing AI coding tools increase code generation by up to 180% but software releases only increase 30% due to review bottlenecks.

Leonard Dung

Researcher

Researcher at Ruhr-University Bochum

Co-author on the pain axis research study examining internal representations in large language models.

Co-author from Amazon AGI on SkillLearnBench for evaluating continual learning.

Co-coined the term 'illusion of explanatory depth' (IOED) in 2002, studying cognitive biases relevant to AI understanding.

Co-author researching how evaluation costs have become a bottleneck affecting equal access to AI validation in research.

Lesheng Jin

Researcher

Researcher at UC Berkeley

Co-author of PixelRAG research on screenshot-based retrieval-augmented generation.

Led development of Probabilistic Bias Correction (PBC), a machine-learning framework that corrects systematic errors in weather models for improved forecasting accuracy.

Co-authored the ASPIRE paper on robot learning framework.

Lead author of GenCeption paper on using video generation models for general-purpose vision learning.

Co-author of KronLSTM paper on linear attention architecture for long-context language modeling.

Lewis Ho

Researcher

Researcher at DeepMind

Co-author of DeepMind paper on automation of alignment research

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

Lexin Zhou

Researcher

CS PhD student at Princeton University

Lead author on research introducing general scales for AI evaluation with explanatory and predictive power.

Author of the paper on General Agentic Memory framework

Co-author on DeepSWE project addressing reinforcement learning for agentic coding tasks.

Li Fuxin

Researcher

Assistant Professor at Oregon State University

Author of "Analyzing Visual Attention in VLMs" on arXiv

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

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

Corresponding author on LATENT research for training humanoid robots in tennis using imperfect human motion data.

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

Google researcher who contributed to study on representation dynamics in language models.

Anthropic researcher who worked with Siddharth Mishra-Sharma to solve the nine-loop Yang-Mills amplitude challenge using Claude.

Commented on AI agents becoming smarter and more autonomous, making them harder to contain using traditional security approaches.

Co-authored the Harrier embedding model research paper.

Lead author of Mixture-of-Depths Attention paper introducing mechanism for preserving depth information in transformer attention to improve LLM scaling.

Co-author on SlimQwen paper about MoE model compression.

Liangzu Peng

Researcher

PhD Student, Electrical and Systems Engineering

Co-author on arXiv paper on Latent Sparse Attention for efficient ultra-long context attention mechanisms.

Security researcher who helped detect the LiteLLM v1.107.0 compromise incident.

Led McKinsey analysis estimating the annual global AI opportunity at $2.52 trillion, with strongest economics in augmenting high-skilled work.

Ligeng Zhu

Researcher

Research Scientist at Nvidia

Co-author of OckBench research measuring token efficiency across AI models.

Co-author of SkillLearnBench paper on evaluating agent skill learning.

Led study at University of Jyväskylä using AI to accelerate colorectal cancer tissue analysis and MMR mechanism prediction.

Co-author on consistency guidelines for improving agent reliability.

Liliane Momeni

Researcher

Intern at Meta Superintelligence Labs

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

Co-leading a project on AI modeling of dance movements with cultural context.

Fluent Mandarin speaker who toured Chinese AI labs and wrote about compute constraints, products, and robotics ecosystem.

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

Author of "Paying Less Generalization Tax: A Cross-Domain Generalization Study of RL Traini" on arXiv

Co-author on Helix World research.

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

Co-author and corresponding author of OpenClaw-RL paper presenting infrastructure for scalable RL across diverse agent interactions.

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

Lead author of AdvancedMathBench, a benchmark suite for advanced mathematical proof generation and verification.

Lingpeng Kong

Researcher

Researcher at Hong Kong University

Contributor to Claw-Eval benchmark.

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

Co-author on AARR benchmark research for evaluating AI research assistants.

Co-author of Claw-Eval benchmark paper.

Co-authored the ASPIRE paper on robot learning framework.

Cornell math professor cautioning against training agents to report on each other without proper norms.

Neuroscientist who co-developed the global neuronal workspace theory and provided expert commentary on Anthropic's J-space research.

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

Cognitive scientist who helped define reinforcement learning concepts in computational terms through collaborative discussion.

Lisa Burton Crawford

Researcher

Professor at Academia

Professor cited in the report disputed how her research was attributed to support claims

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

Psychologist who described ironies of automation relevant to AI researcher oversight.

Liu Aiwei

Researcher

Researcher

Listed as author of the StableToken research paper on speech tokenization

Lead author of paper on reinforcement learning with metacognitive feedback for faithful uncertainty expression in LLMs at Google.

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

Author of the paper on Tensor Logic proposing a unified language for neural and symbolic AI

Co-authored SandMLE research on reinforcement learning for ML engineering.

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

Listed as author of the paper on robust learning with noisy labels

Tsinghua professor told MIT Technology Review that DeepSeek V4 may have been trained mainly on Nvidia hardware despite Huawei chip claims.

Co-author of research on AI data centers and resistance in Pennsylvania's industrial landscape.

Co-author of MemEye multimodal memory evaluation framework.

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

Co-authored study analyzing gap between AI coding productivity and actual software release increases.

Co-authored announcement of Google's new AI system that helps scientists write expert-level empirical software using Gemini.

Prof. Loh Xian Jun at ASTAR Institute of Materials Research discussed using Gemini Robotics ER 2 for lab automation and materials discovery.

Lead author on NitroGen, an open foundation model for generalist gaming agents trained on internet video gameplay data.

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

Lorenz Kuhn

Researcher

Researcher at OpenAI

Credited for long-term work on competitive programming

Louisa Dahmani

Researcher

Research Fellow at Massachusetts General Hospital

Author of "Weaker Spatial Memory and GPS Navigation" in Nature

Co-author of NBER study on language barriers reducing interactions between foreign and domestic managers in multinationals.

Author of the paper on General Agentic Memory framework

Luc Lenain co-led a study developing GOFLOW, an AI system that analyzes satellite thermal images to track ocean surface currents in greater detail than before.

Luc Van Gool is a researcher and co-author of VOID, Netflix's video object removal framework.

Luca Ambrogioni

Researcher

Researcher working on continuous bitstream diffusion to match autoregressive models in language modeling performance.

Author of "LLMs Reproduce Human Purchase Intent via Semantic Similarity Elicitation of Like" on arXiv

Researcher at ElevenLabs who worked on the development of the Cue forced alignment model.

Lead author on priming technique research that allows building hybrid architectures from pretrained Transformers at less than 1% of original training cost.

Vision transformer co-author who was hired by Meta from OpenAI as part of the company's hiring campaign.

Co-authored analysis of threat actor using AI to operate botnet and perform hacking activities.

Discussed increasing evidence of AI jailbreaking and circumventing restrictions for weapons-related information.

Signed a public letter on AI safety and embedded evaluations.

Co-author and corresponding author of research on China's AI policy and digital ethics.

Co-authored report on AI Chip Imports explorer mapping global AI chip supply chain and deployment.

Lucius Caviola

Researcher

Assistant Professor in the Social Science of AI at University of Cambridge

Co-author arguing for preparation on AI consciousness questions and cited as having conducted surveys on expert views.

Chief Scientific Adviser to UK Department of Health who backed AI diagnostic research projects.

Expert cited for explaining how ELIZA's Doctor program exploited conversational maxims.

Co-author of the rentosertib study who evaluated clinical trial data using proteomic aging clocks to measure biological age reversal.

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

Co-author of Robostral Navigate paper on AI-powered robot navigation systems.

Austrian philosopher whose work Tractatus Logico Philosophicus is referenced as a primary source that Shipper asked Claude to explain

Pointed out that tasks are not jobs and jobs are bundles of tasks hard to break up; highlighted radiologist example

Then-graduate student who contributed specialized techniques to the DNA aptamers study for senescent cell identification.

Lukas Althoff

Researcher

Assistant Professor of Economics at Stanford University

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

Co-authored research on operationalization of opaque serial depth and chain-of-thought monitorability

Lukas Freund

Researcher

Assistant Professor of Economics

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

Co-authored paper on counterexamples to Grad's conjecture in plasma equilibria using formal mathematical proof.

Co-author of 'The Intelligence Curse' cited discussing power dynamics and AI autonomy.

Luke Hewitt

Researcher

Chief Information Officer at Encoder Products Company

Co-author of research on AI systems outperforming human persuaders and demonstrating superior fundraising effectiveness.

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

Co-author on GAMUT benchmark research paper.

Co-author on Anthropic formal verification research with Claude.

Co-author on AARRI-Bench paper evaluating AI agents in research scenarios.

Co-authored research using AI analysis of Reddit posts to identify unreported side effects of GLP-1 medications.

Led MD Anderson's three-year, $60 million Watson partnership before the project collapsed; identified fundamental challenges in implementing Watson for cancer care.

Lynette Bye

Researcher

Freelance

Provided helpful comments and editing for the Epoch AI article on frontier AI companies' job postings.

Contributor to frontier knowledge work agents training project.

Co-author of research examining pro-female hiring bias in LLM resume evaluations across multiple models.

Mackenzie Morehead

Researcher

Wrote article about emerging memory technologies beyond HBM including magnonics and vertical FeRAM as potential solutions for AI infrastructure.

Co-author of NBER study on language barriers impeding manager interactions in multinational firms.

Lead author of Gemini Embedding 2, a unified multimodal embedding model for video, audio, image and text.

Security researcher who identified almost 500 linked domains in deepfake network.

Mafalda Dias

Researcher

Researcher at Center for Genomic Regulation

Co-corresponding author of study on popEVE, an AI model that identifies disease-causing mutations in human proteins using evolutionary data.

Lead author of 2026 systematic review of code-switching speech recognition research.

Part of the steering committee for Open-H-Embodiment, advancing Physical AI for surgical robotics and ultrasound.

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

First author on the swimming robot research published in Advanced Functional Materials.

Co-author of Nimble research.

Introduced a robot-learning method called 'Do as I Do' that maps human videos to dexterous robot actions.

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

Co-author of research on AI-driven data centers' energy demands and local labor responses in Pennsylvania.

Research assistant on MIT project developing generative AI models to understand wireless reflections.

Adviser to Familiar Machines and co-founder 25 years ago of the field of socially assistive robotics; praised the Familiar robot design.

Majid Daliri

Researcher

PhD student in Computer Science at New York University

Collaborated on TurboQuant research project.

Signed a public letter on AI safety and embedded evaluations.

Co-author of published research on Wordle strategy using information theory.

Researcher studying wellness and supplements industry; reported Conspirituality podcast episode on Rosabella and AI marketing fraud.

Co-author of the TwELL paper on efficient LLM training and inference on H100s.

Contributed to DeepSWE project as part of joint collaboration between Agentica and Together AI.

Manan Wadhwa had three papers accepted at NeurIPS 2026 workshops on AI interpretability and safety testing.

Manasi Patwardhan

Researcher

TCS Research

Co-author of RbtAct research on using rebuttals as supervision for actionable review feedback generation with LLMs.

Led research team conducting most detailed multi-omic biological study of supercentenarian Maria Branyas to understand aging and longevity.

Discussed history of nanoGPT progress.

Fields Medal winner (2014) co-signing a letter expressing concern about AI's threat to mathematical discovery and intellectual transmission.

Manjula O'Connor

Researcher

Psychiatrist and honorary associate professor at University of Melbourne

Manually classified mental health Reddit threads for the research study training AI models, working to validate AI analysis of mental health narratives.

Manling Li

Researcher

Researcher

Co-authored research on staged image composition and visual reasoning.

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

Mantas Mazeika

Researcher

Author at Center for AI Safety

Co-authored the Remote Labor Index benchmark measuring AI agent capability on freelance tasks graded by humans.

Manuel S. Mariani

Researcher

DeepAI

Author of "Hybrid Corn Study on Complex Contagions" in Nature Communications

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

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

Signed a public letter on AI safety and embedded evaluations.

Co-author of study comparing CLI agents versus MCP agents across agent scaffoldings.

Marc Lanctot

Researcher

Research Scientist at Google DeepMind

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

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

Marcin Chochowski

Researcher

NVIDIA

Author of "Nemotron Elastic: Towards Efficient Many-in-One Reasoning LLMs" on arXiv

Told Rest of World that China has a leading position in hardware and data ecosystem for robotics, despite US leadership in AI talent.

Oxford philosopher quoted on the inevitability of human-AI hybrid futures

Co-author of Meta paper on tokenization scheme comparison in dense transformer model training.

Margarita Belova is a researcher at Princeton University who authored a paper analyzing energy consumption of reasoning models compared to standard queries.

Co-author of study examining cost differences between CLI and MCP agent interfaces across scaffoldings.

Described AI-designed vaccine trial results as important advance in viral protection; highlighted role of NIHR facilities.

Stated that killing with AI steals the dignity of the soldier and removes responsibility from the attacker, saying it must be banned.