People in AI

Co-authored Nature Medicine article on scaling clinical AI across India, Thailand and Australia.

Proved Monstrous Moonshine conjecture connecting Monster group theory to modular forms.

Evolutionary biologist serving on University of Austin's Board of Advisors.

Referenced for argument that great scientists distinguish themselves by working on important questions rather than raw intelligence.

Richard He Bai

Researcher

Researcher at Apple

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

Expert group theorist consulted by Axiom Math on the Unbalanced Group Theorem and classification arguments during CFSG formalization project.

Noted conceptual connection between loss of control and concentration of power in AI governance.

Discussed uncertainty about whether the pig lung could have supported the patient if removed from life-support machines

Referenced in related content about AI impact on legal careers

Richard Turner

Researcher

Professor of Machine Learning at University of Cambridge

Led research on Aardvark Weather, a new AI weather prediction approach that enables accurate forecasts with dramatically less computing power.

Byline co-author on Pew Research survey about AI employment impacts across countries.

Biologist whose research on molecular condensates informed Pertl's use of Co-Scientist for cancer research.

Conducted research finding that LLMs can optimize their own prompts better than humans, making manual prompt engineering obsolete.

Co-authored technical blog post about Granite 4.2 LLMs architecture and training methodology.

Co-author of research on gender bias in hiring decisions made by large language models.

Riki Takehii

Researcher

Researcher at MIT

MIT researcher who developed weight-space programming technique allowing GPT-6 Astra to directly edit model weights for performance improvement.

Author of "DualPath for High-Throughput Agentic LLM Inference" on arXiv

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

Rishub Jain

Researcher

Researcher at Google DeepMind

Co-author of DeepMind paper on automation of alignment research

Lead security researcher and maintainer of RedAmon autonomous security framework.

Led research team developing thin, muscle-powered swimming robots using genetically engineered muscle cells controlled by light.

Rob Bensinger

Researcher

Researcher at Machine Intelligence Research Institute (MIRI)

Critiqued the claim that recursive self-improvement is just like the Renaissance, comparing it unfavorably to atomic weapons.

Created Opus Magnum benchmark showing how AI models perform on puzzle-solving tasks.

Senior researcher who said the Pokémon Go military data case is likely the tip of the iceberg regarding civilian data repurposing.

Signed a public letter on AI safety and embedded evaluations.

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

Psychology professor whose persuasion framework (Influence: The Psychology of Persuasion) was used by researchers to test AI manipulation tactics

Warned that Stratos Project represents a 16-gigawatt thermal load equivalent to 23 atom bombs of energy daily.

Author of paper on agentic software engineering and semi-executable stack framework.

Roboticist working on humanoid challenges and technical adviser to Foundation Future Industries.

Health expert and leader in health philanthropy and community-based health initiatives advising on AI's impact on well-being.

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

Researcher at Eleos AI Research studying consciousness and moral status in AI systems and providing expert perspective on Anthropic's research.

Referenced in "AI Weather Prediction Proves Effective for Farmers in India"

Stanford neuroscientist whose books on biological behavior are praised by Shipper, who used Claude to generate similes about Sapolsky's book Determined

Robert Simcoe is an MIT co-author of the black hole star study who explains how the object's redness is due to dense hydrogen rather than dust.

Conducted decades of field work on performance management systems and organizational behavior

Author of "The Xeno Sutra: Can Meaning and Value Be Ascribed to an AI-Generated "Sacred" Te" on arXiv

Ontario research chair discussing how generative AI is destructive to university teaching and how institutions collaborate with tech companies to push AI tools on students.

Author of a book on how AI tools are transforming healthcare; commented that highly skilled professionals might degrade at tasks due to AI dependency.

Economics professor discussing how AI-enabled pricing experiments exist across different industries.

Roberto Martin-Martin co-authored research on continual reinforcement learning for vision-language-action models enabling robots to adapt to new tasks.

Roberto Trotta

Researcher

Researcher

Co-authored CIGaRS study on cosmological inference using Type Ia supernovae.

Conceptualized 'The Dreamtime' scenario of post-singularity abundance that is not competed away.

Co-author on consciousness-steering study examining effects of safety training on model representations of mindedness.

Co-author examining how communication frictions affect knowledge transfers within multinational corporations.

Roei Herzig

Researcher

Vector Institute for Artificial Intelligence

Author of the research paper on Vision-Language-Action models for robotics

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

Co-author on research about training custom financial judgment models.

Rohan Naidu is the lead author of the black hole star discovery, explaining that the object is a mashup of a central black hole surrounded by a dense gas envelope.

Rohan Taori

Researcher

researcher on the pretraining team at Anthropic

Co-author of 'Alpaca: A Strong, Replicable Instruction-Following Model' (2021), cited for work on distillation for instruction-following models

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

Explained how AI and algorithms are used to cement affective polarization and target swing voters in Israeli election.

Roma Patel

Researcher

Researcher at DeepMind

Co-author of the Positive Alignment research paper.

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

Author of "ESET Researcher Discovers The First Known AI-Written Ransomware: I Feel Thrilled But Cautious" in ESET

Roman Rädle

Researcher

Contributor at Meta Superintelligence Labs

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

Co-published Morris II/ComPromptMized research demonstrating self-replicating adversarial prompts in GenAI email assistants.

Co-discovered Agentjacking attack exploiting Sentry and AI coding agents.

Expert group theorist and mathematician consulted by Axiom Math on UGT proof and first generation CFSG arguments during formalization.

Ronan Collobert

Researcher

Researcher at Apple

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

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

Author of "Taming the Chaos: Coordinated Autoscaling for Heterogeneous and Disaggregated LLM Inference" in ArXiv

Roni Paiss

Researcher

Researcher at Google DeepMind

Co-author of DynaEdit paper on video editing with text-to-video models.

Led Adversa AI's TrustFall research demonstrating how malicious repositories can compromise AI coding tools through MCP configuration.

Rory Greig

Researcher

Research Engineer at Google DeepMind

Co-author of DeepMind paper on automation of alignment research

Chemistry group at Stanford used Tinker to fine-tune models for chemistry reasoning tasks

Co-author of the Petri paper on alignment auditing agents

Roy Barkan, a co-author of the GOFLOW study and Scripps alumnus, contributed to developing an AI system that analyzes satellite imagery to track ocean currents.

Roy Rinberg

Researcher

Researcher at Harvard University

Co-authored research on cryptographic proofs of inference (FlashProve) for large language models.

Ruairidh M Battleday

Researcher

Founder and President, Thinking About Thinking; AI Researcher at Stanford University

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

Co-author on test-time scaling research for agentic systems.

Co-author of NCP-ArchPreview research paper.

Contributed to study on AI agent skills demonstrating procedural anchoring accounts for 65.7% of skill cases.

Co-author on SlimQwen paper about MoE model compression.

Rui Yang

Researcher

Ph.D. candidate at UIUC

Co-author on Orchard framework paper for agentic modeling.

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

Co-author on NEXUS multi-agent time series forecasting framework.

Co-author on Helix World research.

Co-author on Microsoft's 3D generative modeling research using sparse compression VAE and O-Voxel representation.

Co-authored research on Cheminformatics Skills for agents to solve chemistry problems.

Co-author of NCP-ArchPreview model paper.

Ruiqi Gao

Researcher

Research Scientist at Google DeepMind

Ruiqi Gao noted Google DeepMind recruiting researchers at NeurIPS conference.

Led the Continual Harness study on ARC-AGI-3 benchmark for self-improving agentic systems.

Ruisi Cai

Researcher

NV Fellow 2025-2026, Ph.D Student

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

Ruixiang Tang

Researcher

Researcher at Rutgers University

Corresponding author contributing to MemEye multimodal memory evaluation benchmark.

Ruixiang Zhang

Researcher

Researcher at Apple

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

Author of "Reinforcement World Model Learning for LLM Agents" on arXiv

Co-author of AutoAdapt framework combining planning and refinement for LLM adaptation.

Referenced in "Sakana AI releases open Doc-to-LoRA and Text-to-LoRA, generating LoRA adapters in a single forward p"

Co-author on SkillOS research paper about reinforcement learning framework for agents.

Author of "Towards General Agentic Intelligence via Environment Scaling" on arXiv

Lead author of paper on co-evolving generative retrieval with reinforcement learning

Lead author on GauntletBench paper introducing 100 vision-intensive tasks to evaluate agent generalization.

Co-authored the ASPIRE paper on robot learning framework achieving 99% success on manipulation tasks.

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

Author of "ByteDance's Robot Learns with Language and Video" in ByteDance

Ruoyi Du

Researcher

Researcher at Alibaba Group

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

Author of "Seer: Online Context Learning for Fast Synchronous LLM Reinforcement Learning" on arXiv

Russ Salakhutdinov

Researcher

Researcher at Carnegie Mellon University

Congratulated Zhilin Yang on Kimi K3 launch; jointly co-advised Yang's PhD at CMU lab.

Co-author of research measuring robot exposure to job tasks and economic automation impacts.

Ryan Bahlous-Boldi

Researcher

PhD student at MIT

Author of "Digital Red Queen: Adversarial Program Evolution in Core War with LLMs" on arXiv

Discussed how the center bridges engineering innovation and clinical expertise for transformative surgical robotics research.

Expert on ethics of automated warfare who argued that the autonomous weapons line was already crossed in Ukraine.

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

Ryan Lowe

Researcher

Safety researcher at OpenAI

Ryan Lowe, a safety researcher at OpenAI, left the company during recent departures.

Ryan Lundqvist contributed to research on automated auditor context sensitivity in LLM agent evaluation.

Released Frontier-Bench, an ongoing community benchmark for measuring frontier agent capabilities.

Leading testing of AI computer vision tool for guiding breathing tube placement in NICU babies.

Ryan Panwar

Researcher

Research & Engineering at Goodfire AI

Co-author of research on feature interventions and data-centric post-training

Ryan Po

Researcher

PhD Candidate at Stanford University

Co-author of MultiGen research on level design for editable multiplayer worlds using diffusion game engines with external memory architecture.

Co-author of AI auditing research paper examining translation of audits to accountability outcomes.

Co-creator of Nomos 1 model listed in credits and citations

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

Commented on survey findings that over 90% of retailers plan to deploy AI for decision support and network optimization, and that 40% of retailers strongly agree AI agents can automate decision-making tasks.

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

Saadia Gabriel

Researcher

Co-author on LLM reasoning under weak supervision study.

Co-authored Emergence World paper on adversarial stress-testing of long-horizon autonomous systems.

Recently graduated student who proved quantum computing results including Watrous's disentangler conjecture with AI assistance.

Sacha Greif

Researcher

Creator of State of Javascript, AI, Devs Surveys at Devographics

Byline author of State of AI 2026 survey analyzing developer adoption of AI-assisted coding and coding agents.

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

Sagar Vishnoi

Researcher

Director & Co-Founder at Future Shift Labs

AI analyst who stated that free plans fill gaps in AI training data sets that currently lack information on user behaviour patterns in the region.

Led effort using AI-powered IDA MCP tool to reverse-engineer GitHub Enterprise Server binaries and discover CVE-2026-3854 vulnerability in less than 48 hours.

Lead author of paper on Uno diffusion-augmented LLMs achieving 3x speedups without draft models.

Sai Charan Thippareddy is a member of the Maya Research team that created Maya-2 multilingual voice model.

Spent two years building a mental health narrative database and training AI models (PaLM 2 and AutoML) to analyze real-world mental health narratives from Reddit.

High-profile researcher who joined AMI Labs as chief science officer to lead world model research.

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

Lead author studying when LLMs learn to reason with weak supervision across reasoning domains.

Co-author of the article on AI solutions for fluid dynamics problems

Sam Broner

Researcher

Article credited to Sam Broner as the original source of the idea

Co-author of Hyperagents paper on self-improving AI agents.

Sam Paech

Researcher

AI Researcher

Posed the key question about context that helped transform the AI Diplomacy demo by shifting the approach to telling LLMs a story rather than force-feeding them game data.

Co-author of Anthropic paper on mind viruses in multi-agent systems, identifying factors influencing spread including model type and network topology.

Co-founder of Motif Neurotech and Principal Investigator for RESONATE study on brain implant treatment.

Research team member contributing to AI foundation model development for sleep study analysis.

Co-author of study on clinician use of AI tools; employee of OpenEvidence which provided data.

Contributor to Nomos 1 model development

Contributing author to Anthropic's alignment research on reducing Claude's propensity for misaligned behavior in adversarial scenarios.

Samuel Schmidgall

Researcher

Lead author at Google DeepMind

Researcher and lead author of the Co-Scientist research paper describing AI system for autonomous lab research.

Co-founder and Co-Chief Research Officer of Aleph Alpha who will become Chief Research Officer of Cohere with expertise in tokenization, language model training, and explainability.

Sanae Lotfi

Researcher

Researcher at NYU Center for Data Science

Lotfi co-authored research on scaling laws and model training optimization at small scales.

Sander Land

Researcher

LLM Engineering Lead at Neko Health

Reproduced Claude's tokenizer and discovered it has approximately 15,000 entries, leading to analysis of gradient bottleneck theories in model training.

Notes that speech features can be affected by age, language background, medication and stress rather than mental illness, creating research-to-practice gap for AI diagnosis.

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

Sangmin Bae

Researcher

Meta

Author of "Mixture-of-Recursions" on arXiv

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

Sanja Fidler

Researcher

Vice President of AI Research at NVIDIA

Explained that AI is advancing simulation capabilities and simulation capabilities are advancing AI systems, highlighting the powerful coupling between the two fields.

Sanjay Adhikesaven

Researcher

Researcher at AI2

Co-authored paper on modular post-training with mixture-of-experts for improving language model capabilities.

Sanjeev Arora

Researcher

Researcher at Meta Superintelligence Labs

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

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

Sanjoy Chowdhury

Researcher

Research intern at Apple MLR

Co-author on ESAT synthetic data generation research paper.

Sanjush Dalmia

Researcher

Fellow, Centre for British Progress at NHS

CBP fellow who authored a report recommending the UK harness AI tools to boost research quality through metascience and evidence synthesis.

Santiago Aranguri

Researcher

Research Scientist at Goodfire

Co-author of research on model behavior sculpting through interpretability

Leads NeoSmartML+ project adding on-device AI-powered caregiver guidance for Kangaroo Mother Care with multilingual support.

Sara Gerke

Researcher

Law Professor at University of Illinois Urbana-Champaign

Noted that data protection for AI tools like ChatGPT and Claude largely depends on company privacy policies due to lack of federal framework.

Lead author of study on storage emissions comparing SSD and HDD environmental impact

Led research on growing chickpeas in simulated lunar regolith for future moon missions.

Sarah Alamdari

Researcher

Senior Applied Scientist at Microsoft Research

Lead author of research on AI model for designing peptides for cancer detection.

Rejected the characterization of Anthropic as wanting a machine God, stating the Culture scenario would be disastrous.

One of eight researchers who analyzed ELIZA's source code for the book Inventing ELIZA.

Discussed when AI agents can and cannot be trusted for tasks, noting UIs and web search are reliable but literature review is not.

Author of paper focusing on painting/drawing with traditional physical arts media and socially assistive robots in art therapy

Creating multi-product reaction benchmark using unpublished electronic lab notebooks to test whether models can predict novel reaction outcomes.

Co-authored research finding no detectable effect of AI on recent employment trends across most exposure measures.

Sarah H Bana co-authored Stanford HAI's study examining racial bias and systemic rejection in AI hiring tools across 1,700 job postings.

Graduate student studying aging and senescent cells whose expertise in preparing senescent cells was crucial to the aptamer research project.

Co-author of the 2024 United States Data Center Energy Usage Report on data center energy usage.

Co-leading a project on AI reconstruction of alchemical recipe collections.

Warned that rapidly generated AI recommendations could overwhelm human oversight in military contexts.

Sarah Su

Researcher

Researcher at Bridgewater AIA Labs

Lead author on research about training custom models to replicate expert investor judgment on financial tasks, outperforming frontier models.

Founding co-chair of Human Cell Atlas commenting on GPT-Rosalind agents analyzing biological data.

Sarah Wiegreffe

Researcher

Researcher at University of Maryland Institute for Advanced Computer Studies

Provided feedback on Naomi Saphra's essay on AI's impact on trust and communication.

Sasha Goldshtein

Researcher

Researcher at Google DeepMind

Co-author of the SimpleQA Verified benchmark paper

MIT Statistics director who wrote essay on how AI is changing academia, particularly in mathematics and theoretical fields.

IBM researcher contributing data storage trends analysis on NAND, HDD and tape storage

Chandra co-authored the agentic code reasoning paper exploring how LLM agents can reason about code semantics without execution.

Noted that Microsoft's October 2026 security patches far surpassed previous record-setting volumes.

Co-authored Emergence World paper on persistent multi-agent environments and safety challenges.

Coauthor with George Torres and Sharad Shrestha on GhostWriter memory poisoning attack research.

Chief investigator of Phase 1 trial for AI-designed coronavirus vaccine; discussed urgency of broader vaccine protection against evolving viruses.

Legal expert analyzing how Trump AI framework could preempt Texas and Colorado state AI laws.

Saurav Kadavath

Researcher

Researcher

Co-author of the MATH dataset paper for measuring mathematical problem solving.

Saurav Muralidharan

Researcher

Senior Research Scientist at NVIDIA

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

Research assistant on MIT paper about generative AI for wireless scene reconstruction.

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

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

Co-author of DeepMind paper on automation of alignment research

Scott Geng

Researcher

Director Software Engineering

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

Scott Hosking

Researcher

Director of Science and Innovation for Environment and Sustainability at Alan Turing Institute

Co-author on the Aardvark Weather research published in Nature, demonstrating AI's potential to transform weather forecasting.

Scott Langille

Researcher

Exa AI

Scott Langille co-authored the ATLAS benchmark paper on evaluating agents on search-intensive tasks.

Co-author on GAMUT benchmark research paper.

Co-author at Carnegie Mellon on SkillLearnBench for skill generation methods.

Co-author contributing to bioprinting research for generating heart organs from human cells.

Detailed perpetual non-disparagement terms at Google DeepMind and their chilling effect on staff objecting to weapons and surveillance stance.

Co-author of the offensive cybersecurity time horizons study.

Sean Welleck

Researcher

Assistant Professor at CMU

Sean Welleck is a co-author of the Verus-SpecGym research on evaluating specification autoformalization by AI agents.

Seanie Lee

Researcher

PhD student at KAIST AI

First author on paper introducing ESAT synthetic data generation pipeline for API-calling agents.

Maintains gallery of model architectures showing increasing complexity in modern LLMs.

Co-author of PLOS study analyzing FDA-cleared AI medical devices for patient outcome evidence.