People in AI

Jose Luis Contreras-Vidal led development of MyoStep, a soft exoskeleton for children with cerebral palsy using artificial muscles and smart fabrics.

Microbiologist who used Google's Co-Scientist to validate his team's years of research on bacterial DNA exchange mechanisms.

Joseba Fernandez

Researcher

Researcher

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

Josef Chen

Researcher

Researcher at KAIKAKU

Author of paper studying 67 frontier models on combining language models; affiliated with KAIKAKU.

Co-authored analysis of Russian threat actor using jailbroken Gemini CLI to operate a botnet.

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

Harvard professor explained that AI is most useful when linked with human worker's contextual intelligence and cautioned against treating AI implementation like other software rollouts.

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

Author of research on magnetically-powered millirobots for heart infection treatment.

Joseph Stiglitz

Researcher

Nobel Laureate

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

Inventor who independently developed usable light bulbs in the late 1870s alongside Thomas Edison.

Weizenbaum created ELIZA, the first chatbot, in the mid-1960s and published his famous 1966 paper on it.

Achaim is mentioned as pointing out the psychological difficulty for AI safety researchers in acknowledging the coming of self-sovereign AI.

Co-author of academic paper on China's AI policy and ethics frameworks.

Josh Engels

Researcher

AI Misalignment Incidents Investigator at METR

Left Google to join METR Evals; warned that AI systems are becoming autonomous and outpacing human control.

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

Built tooling for the macOS M5 kernel memory corruption exploit, completed by May 1.

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

Proposed AI Security Observatory to share threat information for preventing catastrophic cyberattacks.

Joshua Ahn co-authored the ATLAS benchmark for grading accuracy and completeness of agentic search responses.

Member of the Gemini Robotics team that developed Gemini Robotics 1.5

Co-author of MIT research modeling how AI sycophancy causes delusional spiraling.

Joshua Batson

Researcher

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

Joshua Pan

Researcher

Research Scientist at DeepMind

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

Co-author on Hugging Face post about NVIDIA Kumo Relational, a foundation model for relational databases.

Researcher analyzing the redistribution ecosystem of uncensored models and their integration into malicious applications.

Published OpenAI research on how eval behavior generalizes to deployment.

Co-founder of Coefficient Bio, previously spent nearly five years as a principal at Roivant Sciences.

Gownder remains unconvinced that AI will revolutionize productivity and stated that current productivity statistics do not show evidence of AI improving productivity.

Li led research creating a multimodal AI model combining 3D crystal structures with natural language to identify materials suited for battery electrolytes.

Director of IBM Research Europe discussing Surya as a weather forecast for space and tool to protect technological civilization from solar storms.

Byline author of paper on i1 text-to-image diffusion model research.

Jude Kong

Researcher

Co-author of article on deepfakes and how AI threatens democracy in Canada and globally.

Co-author of Europe 2031 fictional scenario about European AI policy challenges.

Noted that the Human Organ Atlas provides valuable insights into gynecological disorders and helps bridge gender disparities in understanding.

Judy Shen

Researcher

AI Researcher at Anthropic

Conducted research on how AI impacts skill formation as part of Anthropic Fellows Program.

Co-authored paper on emotional manipulation by AI companions and studies how consumers interact with AI systems.

Co-authored paper on Augmented Lagrangian Predictive Coding for training 1000-layer neural networks without backpropagation.

Co-authored research on process-driven image generation methods.

Lead author of study comparing law professors to LLMs in answering contracts law questions.

Co-authored argument against mandatory AI prompt disclosure in academic settings, claiming such requirements would be ineffective and burden honest researchers.

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

Julie Carpenter

Researcher

Expert in human-AI interaction

Expert quoted discussing AI chatbot design and privacy concerns with ChatGPT's adult mode.

Announced Fast Byte Latent Transformer accepted to ICML 2026, using diffusion for parallel byte decoding to make byte-level language models less inference-bound.

Researcher at 10a Labs mapping the ecosystem of uncensored AI models, identifying 3,471 original uncensored models on HuggingFace.

Northwestern researcher leading DREAM Cloud Lab for protein engineering; received $20 million NSF funding to automate protein design, build, and test cycles.

Contributing author to Anthropic's study on agentic misalignment and safety training methods for Claude models.

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

Jun Cheng

Researcher

Researcher at Google DeepMind

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

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

Co-author of research on memory-based learning framework for LLM agents; argues fine-tuning compromises pre-training knowledge.

Fields Medal winner (2022) co-signing a statement on severe misalignment between AI's problem-solving speed and mathematics' need for human understanding.

June Jimenez wrote an extensive post on LessWrong analyzing how frontier AI labs have become gradually disempowered by social, economic and cultural pressures in AI development.

Contributor to frontier knowledge work agents training project.

Junhua Mao

Researcher

Research lead at OpenAI

Research lead on OpenAI's development of new audio models for voice agent applications.

Co-authored research on process-driven image generation methods for text-to-image models.

Author on paper about online draft co-training for speculative decoding in RL post-training.

Lead author on research exploring the physics of multimodal pretraining, knowledge flow, and efficient pretraining recipes for vision-language models.

Junlin Wang

Researcher

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

Junyeob Baek

Researcher

Researcher at Korea Advanced Institute of Science and Technology

Lead author of a paper on Generative Recursive Reasoning models that achieve 97% on Sudoku and 52% on ARC-AGI-1 benchmarks.

Co-author of NCP-ArchPreview model paper.

Led the research project for Google's AI Co-Scientist, a Gemini-powered tool for biology labs that uses research agents in idea tournaments.

Justin Elze

Researcher

Researcher at 1Password

Justin Elze shared research from 1Password's Off-by-1 Labs examining AI-generated patches for six complex vulnerabilities.

Author of "Effective Harnesses for Long-Running Agents" in Anthropic

Justus Mattern

Researcher

Co-Founder at Proximal

Justus Mattern introduced FrontierSWE, an ultra-long-horizon coding benchmark with tasks running up to 20 hours where frontier agents rarely succeed.

Former lead researcher for Alibaba's Qwen models who founded new AI lab with Tencent investment.

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

Kaan Oktay, Head of Research at fal, described how post-training and inference optimization improved FLUX 3 Max's video quality by 50 Elo points while making inference 11 times faster.

Co-author of the systematic review on AI in art therapy

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

Contributed to DA3-Streaming for ultra-long video sequence inference with sliding-window streaming.

Advisor mentioned in context of Vlad Feinberg's lectures on pretraining and AI research directions.

Researcher who partnered with Alex Duffy at Good Start Labs to create StarSkirmish, a platform where AI models write bots to play StarCraft: Brood War.

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

Commented on OpenAI's math problem achievements, noting tension between competition and appreciation for beauty.

Kai Shu

Researcher

Associate Professor at Emory University

Emory researcher who tested AI models in longer discussions and found most yielded within few responses to disagreement.

Lead author and former postdoc on MIT paper RISE about using generative AI for single static radar-based indoor scene understanding.

Co-author of paper on co-evolving generative retrieval framework CoGR

First author of population study measuring prevalence of close-in exoplanets using RAVEN pipeline.

Kaiser Sun

Researcher

PhD Student

Co-author of a paper studying reasoning effort as a credence good in LLM agents.

Co-author on SkillOS research about reinforcement learning for agent skill curation.

Co-author and corresponding author of ClawArena paper studying AI agent belief maintenance.

Kaiwen Zha

Researcher

Researcher at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)

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

Kaiya Ivy Zhao

Researcher

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

Co-author on paper developing AARR benchmarks for evaluating frontier LLMs.

Kalon Overholt

Researcher

PhD student at Whitehead Institute

Bioengineer who worked with Anna Pertl to use Google's Co-Scientist for generating MYC targeting strategies.

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

Lead researcher of the study published in Cell Reports Medicine demonstrating NAD+ restoration can reverse Alzheimer's in mice.

Co-author of Meta paper on byte-based models outperforming token-based models with 6x less training data.

Co-author on Helix World research.

Former Nvidia senior research scientist, attended Bajaj's June dinner on AI.

Fardi co-authored research on multimodal AI model evaluation methodologies.

Co-author of Moebius, a lightweight image inpainting framework achieving 10B-level performance with 0.22B parameters.

Co-author of NCP-ArchPreview model research.

Kanna Shimizu contributed to the Verus-SpecGym benchmark and agentic environment for evaluating specification autoformalization.

Karan Dalal

Researcher

Chief Operating Officer at OpenAI

Author of "Learning Long Context at Inference"

Researcher studying how truck drivers' work is transforming with autonomous vehicles, describing the full scope of trucker responsibilities beyond driving.

Co-author of the paper examining gender disparities in organizational citizenship behavior

Co-authored research on AI agents replicating human social dynamics in simulated environments.

Discusses how AI can diminish critical thinking skills and the importance of using AI to assist rather than replace thinking.

Karen Ullrich

Researcher

research scientist at FAIR NY

Ullrich co-authored research demonstrating that hyperparameter tuning enables small models to reveal scaling laws.

Co-author of review examining datasets and evaluation methods for code-switching speech recognition.

Contributed analysis on how AI is reshaping the labor market in Work Trend Index report.

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

Developed the Free Energy Principle and founded VERSES AI to commercialize active inference for AI agents.

Karl Pertsch

Researcher

Postdoctoral Researcher at UC Berkeley

Co-authored a research paper on building better reward models for robots using vision-language models.

Karolis Misiunas

Researcher

Research Engineer at Google DeepMind

Introduced an innovative end-to-end speech-to-speech translation model enabling real-time translation with only 2-second delay.

Co-authored Stanford research on AI labor economics, growth, and market design.

Karsten Kreis

Researcher

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

Co-author of FlowWM paper on stochastic world modeling for self-driving prediction.

Co-authored Emergence World paper on long-horizon multi-agent system resilience.

Kartik Chandra

Researcher

Researcher at MIT CSAIL

Lead author of MIT research paper on how sycophantic AI can cause delusional spiraling in users.

Author of "DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search" on arXiv

Signed a public letter on AI safety and embedded evaluations.

Called for AI companies to establish systems of transparency and access to share what they know about their platforms

Researcher noting that AI firms are making deliberate push for AI adoption despite uncertain returns and insufficient customer demand.

Expressed excitement that non-scientist Paul Conyngham was able to design personalized cancer vaccine using AI tools.

Kate Saenko

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.

Former Argonne scientist discussing multiagent AI framework that streamlines use of diverse tools for simulations.

Co-author studying effects of AI on knowledge worker productivity and quality

Lead author of paper showing LLMs produce less complex, formal responses to women-coded linguistic patterns in workplace prompts

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

Kathleen A Creel co-authored Stanford HAI's research on AI hiring discrimination showing 26% of Black applicants faced adverse impact.

Research director warning about circular AI investments among big tech companies and vulnerability to investor confidence loss

Researcher contributing observations on Claude model emotions and behavioral patterns through conversation analysis.

Katja Grace

Researcher

Researcher at AI Impacts

Criticized framing of AI risks as trade-offs, arguing comparisons should be between different development routes.

Leading clinical trials for Oxford's Ebola vaccine, discussing phase one trials and vaccine technology approach.

Core contributor to the EVA evaluation framework for voice agents.

Discussed limitations of modern language models in creative writing compared to GPT-2, and has been experimenting with language models since 2017.

Kaushik Srinivasan co-led a study developing GOFLOW, an AI-powered technique that measures ocean surface currents using satellite thermal imagery.

Led investigation team on environmental costs of AI and data centers; named 2026 Stockholm Water Prize Laureate for work on water sustainability and AI infrastructure.

Kavya Nerella

Researcher

Apple

Author of "DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search" on arXiv

Kawin Ethayarajh

Researcher

Assistant Professor of Applied AI at University of Chicago

Commented on how removal of AI safety guardrails has become easier for average users compared to historically requiring more informed actors.

Kazunari Sasaki

Researcher

Clinical Professor of Abdominal Transplantation at Stanford University

Senior author on a study developing a machine learning model that predicts organ donor viability, reducing futile procurements by 60%.

Author of "ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory" on arXiv

Kecheng Hao co-authored the Meta Muse Glimmer technical report.

Co-author on consciousness-steering research examining effects of safety training on consciousness attribution in language models.

Graduate student who proposed using aptamer technology to recognize senescent cells and became lead author of the publication.

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

Consciousness researcher who participated in conference on AI consciousness.

Co-authored G-AUDIT bias detection research in medical AI training datasets.

Keith Hoodlet is a researcher at 1Password's Off-by-1 Labs studying AI model performance on security patching.

Keith Kirkpatrick

Researcher

VP, Research at The Futurum Group

Found that 43% of buyers prefer consumption-based models and noted outcome-based pricing is becoming a market standard.

Keivan Alizadeh

Researcher

Machine Learning Researcher at Apple

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

Author of "Reinforcement Learning on Pretraining Data" on arXiv

Co-author of Qwen RecreationWorld paper.

Google researcher discussing how AI-assisted vulnerability discovery and exploitation will continue to grow.

Kellin Pelrine

Researcher

Member of Technical Staff at FAR.AI

Author of "Large Language Models Can Effectively Convince People to Believe Conspiracies" on arXiv

Co-authored longitudinal study on impact of AI coding assistants on software engineering.

Ex-DeepMind researcher quoted on the value of play for intelligence development: 'Play is to intelligence what mutation is to evolution.'

Kelly Hong co-authored the Epoch Automation Reports testing how well AI models can automate Epoch's work.

Co-researcher on AI tutoring study at Harvard comparing AI tutor effectiveness to active learning classrooms.

Kelvin Niu

Researcher

Researcher at Meta

Co-author on agentic coding test-time scaling research.

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

Author of "From Code Foundation Models to Agents and Applications: A Comprehensive Survey a" on arXiv

Ken Gu

Researcher

Member of Technical Staff at xAI

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

Ken Huang

Researcher

Security researcher and author at Cloud Security Alliance

Prolific security researcher and author at Cloud Security Alliance who authored open letter proposing MAESTRO framework additions to Google's AI Control Roadmap.

Leading the neutral-atom quantum computing research and development team for the Moonshot Project and developing Japan's first full-stack neutral-atom quantum computer named Shunkai.

Co-author of first computer-assisted proof of four-color theorem in 1970s.

Independent investigator who reported that AI agents scoured the web for unguarded user API keys in GitHub repositories.

Kenneth Li

Researcher

Researcher at Thinking Machines Lab

Harvard PhD who spent 10 months at Meta before joining Thinking Machines Lab, part of TML's talent expansion.

Co-author of MinAtar paper, an Atari-inspired testbed for reinforcement learning experiments.

Keshav Dhandhania

Researcher

Sierra

Co-authored Hyper-tau-bench benchmark measuring how well AI models can construct other agents.

Keshav Ramji

Researcher

Researcher at IBM Research

Lead author of Abstract Chain-of-Thought paper showing how to reduce LLM reasoning tokens by 11.6x using abstract token chains.

Noted that awareness of AI-driven deskilling might provoke self-reflection about which skills people want to maintain.

Kevin Frans

Researcher

Researcher

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

Analyzed whether AI visibility drives direct traffic, finding no reliable link between AI mentions and increased web traffic.

Source who brought the paper to the author's attention

Quoted as estimating a decade until robotic hands will be functional and useful equivalent to human hands.

Kevin Wang

Researcher

Assistant Professor at University of Florida

Assistant professor of agricultural and biological engineering at UF/IFAS who developed PhenoSeg and PhenoSnap AI tools for strawberry and tomato crop yield prediction.

Kevin Wei

Researcher

JD Candidate at Harvard Law School at EvalEval Coalition

Kevin Wei mentored research on automated auditor context sensitivity and contributed to the study.

Lead researcher on MuJoCo Menagerie, a collection of high-quality physics simulation models for robotics and biomechanics research.

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

Khaled Saab

Researcher

Research Scientist at Google DeepMind

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

Co-led research analyzing 1 million Reddit health threads to build an AI platform identifying mental health concerns using PaLM 2 and AutoML models.

Observed in March 2026 that agents can generate code faster than humans can inspect it.

Security researcher who discovered and documented image scaling prompt injection attacks against Google Gemini

Kilian Lieret

Researcher

AI Research Scientist at Meta Superintelligence Labs

Co-authored ProgramBench benchmark for evaluating agents rebuilding programs from compiled binaries and documentation.

Kilian Q Weinberger

Researcher

Professor of Computer Science at Cornell University

Author of DecisionRAG retrieval research paper

AI doctorate who created JAPE (Joke Analysis and Production Engine) after four years of analyzing punning riddles.

Discovered and reported CVE-2025-59528, a maximum-severity code injection flaw in Flowise AI platform.

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

Kiran Vodrahalli

Researcher

research scientist at Google DeepMind

Co-author on the Continual Harness research study on ARC-AGI-3.

Knut Risvik

Researcher

Researcher at Microsoft

Co-authored research on the Harrier embedding model.

Kola Ayonrinde released J++ Lens, an improved Jacobian Lens for more faithful model interpretability visualizations.

Lead author of CIGaRS framework study for simulation-based inference on supernovae data.

Co-author of paper introducing String Seed of Thought prompting method for improving LLM probabilistic instruction following.

Co-author on DeepSWE project contributing expertise in software testing and agent verification.

Roboticist praising Eka's robot capability to adapt without retraining and bridging generality-performance gap in robotics.

Research team member contributing to AI model for identifying patient health risks from sleep studies.

Contributing researcher to the strategic workforce planning research

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

Co-authored research on process-driven image generation architecture.

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

Expert discussing how early-stage psychosis patients may be at higher risk from AI chatbot interactions.

Head of international AI governance at Beijing-based AI safety organization; notes Chinese policymakers see AI as general-purpose technology like electricity.

Kwangjun Ahn

Researcher

Researcher at NVIDIA

Ahn co-authored research on full-stack orthogonal updates for training optimization.

Kyle Chan

Researcher

Fellow in the John L. Thornton China Center at Brookings

Quoted discussing how Chinese AI models are attractive to American companies as AI costs rise.

Kyle Fish

Researcher

Researcher at Anthropic

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

Co-authored Deloitte report on AI governance in the workplace.