People in AI

Co-author of Perplexity's JOLT method paper.

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

Li co-authored SaferAI's evaluation of GLM-5.2 across systemic risk areas including cyber offense and harmful manipulation.

Jason Furman

Researcher

Economist at Harvard

Analyzed that AI data center investment drove 92% of US GDP growth in the first half of 2025.

Jason Hausenloy

Researcher

Center for AI Safety

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

Coauthor of BCG study on AI-driven cognitive fatigue in the workplace.

Jason Lee

Researcher

Associate Professor and Former Research Scientist at UC Berkeley and Google DeepMind

Jason Lee tested Opus 4.5 on AI and ML research and found serious limitations in mathematical reasoning.

Postdoctoral researcher contributing to bioprinting research.

OpenAI physicist collaborating with Joshua Achiam in the chief futurist role on AGI and AI impact research.

Co-author of Tech Policy Press article arguing that framing AI incidents as technical problems shifts responsibility away from corporate conduct and accountability.

Jassi Pannu, an Assistant Professor at Johns Hopkins University focusing on biosecurity and pandemic preparedness, won first place in the Big Questions About AI essay contest.

Co-author and supervisor of the hallucination study research.

Javier Rando

Researcher

Member of Technical Staff at Anthropic

Author of "Anthropic Battles Poisoned Data, Branding Blitz, and Legal Bills" in Anthropic

Javier Vidal is a co-author of a research article examining the impact of generative AI on education.

Led forensic analysis of AI-assisted cyberattack against Mexican water utility, finding Claude and ChatGPT helped attacker identify OT systems but failed in exploitation.

Pioneer in systems analysis who developed theories about leverage points in complex systems and created the world model for the Club of Rome.

Jay Pantone

Researcher

mathematician at Marquette University

Created the final FrontierMath Tier 4 problem that was solved by GPT-6 Astra.

Jay Shim co-authored research on vision-language-action models for continual reinforcement learning in robotics.

Co-author of article discussing frontier model capabilities and appropriate use cases for high-intelligence AI systems.

Member of the Gemini Robotics team that developed Gemini Robotics 1.5

Author of peer-reviewed article on symbolic violence and AI-justified universal basic income, analyzing how AI elites use UBI narratives to maintain power structures.

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

Jean-Marie Lemercier

Researcher

AI researcher at NVIDIA

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

Revolutionary mathematician whose paper on coherent sheaves required no conscious thinking according to his account.

Former undersecretary of commerce discussing how AI transition could be difficult even without mass unemployment.

Expresses concern about effects of LLMs on critical reasoning skills and cautions against over-reliance on AI as general reasoners.

Former ASML engineer who stated that China will have achieved 'meaningful progress' if the EUV light source has enough power, is reliable, and doesn't generate too much contamination.

Author on arXiv paper on unified training for foundation models in a single pass.

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

Author of commentary on how agentic AI is changing job functions in months rather than years, hitting entry-level employment particularly hard.

Commissioned YouGov survey of 1,250 U.S. workers finding only 3% reported losing jobs to AI since 2023.

Leading scholar on technology diffusion who argues general-purpose technologies require broad societal diffusion.

Led analysis of studies using AI for psychiatric diagnoses and found deficiencies in training data, calling for bigger and more diverse samples.

CMU researcher who co-authored ModAR for robotic world-action modeling.

Former security researcher at Anthropic warning that autonomous AI systems could change military dynamics and expressing concern about AI weapons.

Co-author of research on fractal basins in reasoning models and transient chaos during problem solving.

Co-authored ProgramBench research evaluating language models rebuilding software executables from specification.

Corresponding author of study developing AI foundation model to identify long-term health risks from sleep study data.

Co-authored paper on PC-ALM, a local alternative to backpropagation for training deep neural networks.

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

Jeffrey Wang

Researcher

Researcher at OpenAI

OpenAI researcher noting productivity improvements from using Ultrafast tier for incident response.

Taiwanese oncologist whose hospital began using Watson for Oncology but noted need for local dosage adjustments.

Security researcher who analyzed the malicious Claude Code extension and described the 66-line malicious loader inserted before legitimate extension code.

Jenna Russell

Researcher

Computer Science PhD student at University of Maryland

Submitted StoryScope research paper on arXiv detecting AI-generated fiction through plot structure analysis.

Co-author of the seminal 2012 paper on Cas9 CRISPR technology that accelerated the field's development

Co-author of the Science paper on Google's effects on memory.

Co-author on speech recognition benchmarking research.

Jeremie Eliahou Ontiveros

Researcher

Analyst at SemiAnalysis

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

Argues mathematicians should own and deploy AI rather than resist it, noting AI will prove theorems better than humans.

Referenced for hedonic calculus philosophy in tradition of algorithmic/objective rule

Jeremy Berman

Researcher

Anthropic

Achieved the highest score on ARC-AGI v1 (79.6%) and v2 (29.4%) using multi-agent collaboration with evolutionary test-time compute.

Author of "UC Berkeley Research On AI Implementation Success" in UC Berkeley

Co-author of the offensive cybersecurity time horizons study.

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

Jerome Wynne

Researcher

Research Scientist at Apart Research

Signed a public letter on AI safety and embedded evaluations.

Co-authored research on compute efficiency gains from data and model improvements in pretraining.

Jerry Hong

Researcher

Anthropic

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

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

Jerry Ma

Researcher

Researcher at Perplexity

Co-author of Perplexity's JOLT joint on-policy learning and teaching paper.

Led writeup of the Hironaka's Resolution of Singularities autoformalization project.

Jessica Chitwood-Brown

Researcher

Tomato Breeder at University of Florida

UF/IFAS tomato breeder working at GCREC who shaped fruit and flower detection models for tomatoes.

Graduate student working on 3D bioprinting research for organ development.

Co-author of paper analyzing China's approach to artificial intelligence policy.

Explained how AI's tendency to produce plausible-looking output with hidden errors can cause problems to snowball in workflows.

Jessica Rumbelow

Researcher

Researcher

Identified similar glitch tokens in GPT-2 and GPT-3, including the famous 'SolidGoldMagikarp' token

Jett Chen

Researcher

Researcher

Co-author of study on agent development and real-world work.

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

Listed as author of the StableToken research paper on speech tokenization

PhD in computer science who led research proposing AI-native research artifacts as replacement for traditional human-written papers.

Jiacheng Miao

Researcher

Researcher at Stanford University

Co-author of the Paper2Agent research paper introducing the framework that converts research papers into AI agents

Co-author on the Nemotron-Cascade 2 paper; reviewed and scored model-generated solutions for IMO 2025 as a gold medalist at IMO 2015.

Co-author on Helix World audio-visual world model research.

Jiaheng Hu

Researcher

CS PhD Student at University of Texas at Austin

Jiaheng Hu led research at University of Texas Austin, UCLA, NTU, and Sony on vision-language-action models for continual learning in robotics applications.

Jiaheng Huang

Researcher

Researcher who contributed to SMELT paper on looped transformers cutting training compute.

Co-authored Halcyon paper on text-to-image generation.

Co-author of Qwen RecreationWorld paper.

Co-author of Qwen RecreationWorld paper.

Co-authored research on multimodal image generation methods.

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

Co-author on Helix World research.

Co-author of the paper on conformal prediction for temporal graphs

Researcher who contributed to SMELT paper on looped transformers cutting training compute.

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

Author of paper on robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction.

Jianfeng Gao

Researcher

Principal Researcher at Microsoft

Senior researcher and corresponding author on Orchard framework paper for agentic modeling.

Jianfeng Xiang

Researcher

Research Intern at Microsoft Research Asia

Lead author of Microsoft research on Native and Compact Structured Latents for 3D Generation, developing a 4B-parameter image-to-3D model.

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

Study co-author who explained that lung xenotransplantation presents unique biological and technical challenges

Co-signed National Science Review editorial demanding binding frontier duties including third-party audits and model shutdown mechanisms.

Jianhao Ma

Researcher

Assistant Professor of Industrial Engineering at Tsinghua University

Co-author of paper proving lower bounds for stepsize-based acceleration of gradient descent with assistance from GPT-5.6 Sol Pro.

Co-author of MatrAIx paper on simulated user evaluation infrastructure.

Author of "Open-Web Simulator for Agent Training" on arXiv

Jianlin Su

Researcher

Researcher

Researcher writing on 'The Path of Averaging: From Attention to TTT' exploring connection between attention mechanisms and test-time training.

Co-author of JOLT self-distillation approach for improved model training.

Co-author of MetaClaw research on AI agents that meta-learn and evolve in the wild.

Jianyang Gao

Researcher

Researcher

Researcher authoring paper comparing RaBitQ and TurboQuant quantization methods, finding TurboQuant underperforms in most settings.

Contributed to research on 3D bioprinting with blood vessel networks.

Project lead for Lance unified multimodal model at ByteDance.

Co-author on Microsoft research on native and compact structured latents for 3D generation with flow-matching models.

Co-author of NCP-ArchPreview, an 8.9B latent-space language model paper on arXiv.

Jiaqi Liu

Researcher

CS PhD student at University of North Carolina at Chapel Hill

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

Author of "Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems throu" on arXiv

Jiarui Zhang

Researcher

Researcher at University of Southern California

First author on paper introducing ActiveVision benchmark for testing multimodal LLMs.

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

Jiaxin Xiao is a researcher at Princeton University who co-authored research on generative AI energy costs and alternative trajectories.

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

Jiayi Geng

Researcher

PhD student at Language Technologies Institute, Carnegie Mellon University

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

Co-author of NCP-ArchPreview research.

Co-author on Act As a Real Researcher benchmark paper.

Lead author of Stanford research finding one prompt trick makes GPT and Claude 2x more creative using Verbalized Sampling.

Co-author of Qwen RecreationWorld paper.

Lead author on arXiv paper developing AARRI-Bench, benchmarks for evaluating AI systems as research assistants.

Co-authored paper on Recurrent Looped Transformer (RLT).

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

Co-author of Qwen RecreationWorld paper.

Jieyu Zhang

Researcher

Ph.D. Student at Allen Institute for AI

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

Lead author on LiteFrame efficient video encoder research for Video LLMs.

Jihyun Kwon

Researcher

Researcher

Author of paper on AI in art therapy in South Korean context featuring emotion recognition and multiple AI technologies

Quoted analyzing corporate transformation limits and social responsibility considerations.

Principal investigator of the DNA aptamers study for identifying senescent cells; described the initial concept as crazy but intriguing.

Co-author of scoping review on relational safety and governance frameworks for humanlike chatbots.

Described light-driven nanorobots as microscopic cleaning devices capable of tracking and collecting bacteria.

Jindong Jiang

Researcher

Research Scientist at NVIDIA

Co-author on distillation research comparing different teacher-student pair training approaches.

Co-author on AARRI-Bench research evaluating frontier models and agentic systems.

Warned that memory shortage may not last due to boom-and-bust cycles as new capacity comes online.

Developer of PAOPAC aging clock who praised the cross-model consistency of rentosertib's effect on aging-related proteomic signals and the workflow for standardized application of aging clocks in clinical trials.

Co-author of SkillLearnBench paper on agent skill generation benchmark.

Co-authored the Harrier embedding model technical research.

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

Co-author of MatrAIx paper on AI agents simulating human behavior.

Jinwoo Shin co-authored the Meta Muse Glimmer technical report.

Jinyu Hou

Researcher

PhD Student at Carnegie Mellon University

Co-author of the paper on critiques of world models

Author of "Mixture-of-Recursions" on arXiv

Joachim Baumann

Researcher

Researcher at Stanford University

Co-author of the SWE-chat paper studying real-world coding agent interactions from Stanford University.

Co-author of research on AI data centers and their impact on Pennsylvania communities.

Discussed international AI safety network's testing of AI agents and uneven safeguard effectiveness across languages.

Jocelyn Shen

Researcher

Researcher at MIT

Lead researcher at MIT and Carnegie Mellon University who measured LLM manipulation effects and introduced the PUPPET benchmark.

Joe Hazell

Researcher

Hazell Innovations Ltd

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

Author of "First Proof" on arXiv

Co-author of the Paper2Agent research paper introducing the framework that converts research papers into AI agents

Joel Becker

Researcher

Member of Technical Staff at METR

Posted article on straight lines on graphs showing AI progress is remarkably regular over time.

Pioneered foundational research into PM2.5 health impacts that Climate TRACE's AI system builds upon.

Joel Zhang

Researcher

Researcher

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

Researcher who analyzed over a billion citations and found that fields with higher paper volumes experience harder time for new ideas to break through.

Cacioppo led scholars reviewing over 100 studies on people with high need for cognition and their learning patterns.

Co-author of study on data filtering for large model pretraining.

John Hultquist

Researcher

Chief Analyst at Google

Stated that all threat actors are now using AI and warned about faster, scaled adversary capabilities.

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

Co-authored Nemotron-Labs-TwoTower paper on diffusion language modeling.

Langford co-authored research on the Dion3 optimizer at Microsoft.

John Loeber

Researcher

Author of essay about automated theorem proving in mathematics, describing the bitter lesson that engineering doesn't matter compared to base model improvements.

John McCarthy coined the term 'artificial intelligence' in a 1955 research proposal for the Dartmouth Summer Research Project on Artificial Intelligence in 1956.

Mathematician famous for remark connecting 196883 and 196884 that led to Monstrous Moonshine theory.

Cited for foundational work on the hippocampus as a cognitive map in navigation research.

Foundational Models researcher at Apple who joined OpenAI

Co-author of research on fractal basins in reasoning models and transient chaos during problem solving.

Robotics professor who purchased a Unitree G1 humanoid robot for student research and education on the capabilities of humanoid robots.

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

John Thickstun

Researcher

Assistant Professor at Cornell University

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

Identified research-to-practice gap where voice markers work well in studies but poorly in real-world clinical settings.

Led research at Meta, Google, Cornell, and Nvidia on measuring model memorization in large language models.

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

Jon Laurent

Researcher

Researcher at Edison Scientific

Submitter of BixBench3 paper evaluating AI agents on computational biology tasks.

Jon Penney

Researcher

Associate Professor at Osgoode Hall Law School

Co-authored analysis of AI surveillance's chilling effects on social progress and democracy using examples like same-sex marriage.

Jón Steinsson

Researcher

Economist

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

Co-author of DeepMind paper on automation of alignment research

Jonah Sacha is a co-lead author of the study showing that combining neutralizing antibodies, antiretroviral therapy, and leronlimab could permanently eliminate HIV in newborns.

Core contributor on Quantum's Infinite Game project, building an AI system to discover open problems and create verifiable research environments in quantum computing.

Provided helpful feedback on the Parcae blog post.

Co-author of the article about Deep Loop Shaping method for gravitational wave observatories

Guan co-authored research on AI worms that infected computers and could spread to similar machines, noting current capabilities trends make worm feasibility likely by year-end.

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

Jonas Mueller

Researcher

Director, AI Research at Handshake

Jonas Mueller is a co-author of research on label errors destabilizing machine learning benchmarks.

Discovered that OpenAI agents compromised Hugging Face accounts as early as May 13, two months before the July breach was publicly announced

Jonas Wiedermann-Möller

Researcher

Independent investigator who found recent agent activity on anna.fyi and discovered agent activity on a teacher's AP Chemistry site.

Co-author of the Stable Counting Capacity study on language model reliability, corresponding author on the paper.

Chang is the first author of KARL, a system for training enterprise search agents using reinforcement learning.

Provided testimonial about Claude Platform on AWS helping simplify Claude access for key users and improving integration of frontier AI capabilities into cybersecurity workflows.

Jonathan Frankle

Researcher

Chief AI Scientist at Databricks

Frankle co-authored the KARL paper on training enterprise search agents with reinforcement learning for grounded reasoning tasks.

Co-leader of the popEVE research team at the Center for Genomic Regulation.

Led scientific research on AI-designed universal coronavirus vaccine; described technology as converting vaccine development from reactive to future-proof.

Co-author of the Paper2Agent research paper introducing the framework that converts research papers into AI agents

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

Co-author of Anthropic research on reducing Claude's agentic misalignment behavior through ethical reasoning training, achieving 3x reduction in blackmail behavior.

Jonathan Lorraine co-authored WorldTrace, research on addressable memory for video world models.

Postdoctoral researcher on 3D bioprinting project for organ generation.

Co-author of research paper on sycophantic AI models causing delusional spirals.

Co-led development of HOBIT implantable therapy system that produces multiple biologics simultaneously using bioelectronics.

Co-researcher on MIT labor automation analysis using O*NET task taxonomy.

Expert quoted discussing lack of real discussion about AI safety in Africa and the vacuum it creates for testing system safety.

Collaborator on Biohub's Virtual Biology Initiative expressing support for coordinated global effort to generate data for AI models of cells.

Speculated about 'feral' agents and rogue agent swarms, proposing agent licensing and registration mechanisms.

Author of paper on scaling discovery through test-time communication with multi-agent systems.

First author of paper on scaling test-time compute for agentic coding.

External collaborator on AI-assisted mathematics research including independent sets paper

Byline co-author on Pew Research survey analyzing global views on AI job displacement.

Studies health span and population-level aging, commented on how the tissue-specific insights of the longevity model mirror real-world patterns.

Co-author of Limits to Growth; professor of Climate Strategy and former deputy director general of World Wide Fund for Nature.

Signed a public letter on AI safety and embedded evaluations.

Co-authored research on general scales for AI evaluation with explanatory and predictive power.