People in AI

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-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.

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.

Discussed Israel's surveillance capabilities and role as testing ground for algorithmic and voter-tracking technologies.

Co-author of KronLSTM paper presenting novel update rule for associative matrix memories in language modeling.

Sebastian Farquhar

Researcher

Researcher at DeepMind

Co-author of DeepMind paper on automation of alignment research

Sebastian Majstorovic

Researcher

Co-author of FineBooks post framing OCR improvements as training-data problem for public-domain text.

Sebastian Pios used an AI system to predict boiling points of molecules and discovered errors in a 75-year-old reference database by cross-checking with AI model outputs.

Sebastian Risi

Researcher

Professor and Research Scientist at ITU and Sakana AI

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

Co-author of DeepMind paper on automation of alignment research

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

Byline author introducing Aikido Altar, an open-weight security AI model.

Lead author of VibeThinker-3B research paper exploring frontier verifiable reasoning in small language models.

Co-author of DeepMind paper on automation of alignment research

Analyzed custom ARTEX deployment and Claude Code prompt history revealing financial motivation in South Korean bank attacks

Surgeon who successfully implanted the wireless visual prosthesis brain implant in blind participant.

Sepp Hochreiter

Researcher

Researcher

Co-author of KronLSTM paper proposing a linear attention architecture based on Kronecker Delta Rule for long-context language modeling.

Author on paper introducing Procedural Graphs for LLM agents that self-evolve execution structures.

Co-author of research on gender bias in LLM hiring decisions examined in Japanese corporate context.

Serkan Cabi

Researcher

Researcher at DeepMind

Member of the Gemini Robotics team that developed Gemini Robotics 1.5

Co-authored Nature article arguing that AI will not achieve consciousness due to fundamental architectural limitations.

Seth Goldstein

Researcher

Pediatric Surgeon at Ann & Robert H. Lurie Children's Hospital of Chicago

Led pilot study using light-based scanning to detect necrotizing enterocolitis in premature infants, planning larger clinical trial within a year.

Discussed limitations of current alignment approaches and challenges with detecting deception and sycophancy in AI models.

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

Signed a public letter on AI safety and embedded evaluations.

Built ExploitBench benchmark to study exploit development capabilities of large language models.

Seungone Kim contributed to research on specification autoformalization evaluation for AI coding agents in the Verus framework.

Co-author on GAMUT benchmark research paper.

Conducted research on traditional yogurt-making practices using red wood ants in Bulgaria.

Co-authored documentation of Perceptron limitations in 1969 alongside Minsky.

Seyoon Ragavan

Researcher

Cryptography PhD Student at MIT

MIT PhD student who solved an open quantum cryptography problem using GPT-5.6 Sol Ultra.

Researcher at Ramp Labs who discovered that autonomous coding agents ignore token budgets and cannot self-regulate spending.

Sham M Kakade contributed to research on Bidirectional Evolutionary Search with theoretical and empirical analysis of search-based language model improvement.

Author of Stanford's 2026 AI Index report highlighting 20% employment decline for young software developers.

Listed as author of the DuPO paper on preference optimization

Author on paper introducing Procedural Graphs for LLM agents that self-evolve execution structures.

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

Shane Gu

Researcher

Researcher at Google DeepMind

Co-author at Google DeepMind describing Video Thinking team's approach to World Models.

Lead researcher who found that 49% of employees have never used AI at work and only 25% are confident in their organization's AI strategy.

Shang Zhu

Researcher

Researcher at Agentica

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

Shangding Gu

Researcher

Postdoctoral Researcher at SafeRL-Lab (UC Berkeley)

Co-authored AgenticPay benchmark for evaluating multi-agent LLM negotiation systems.

Lead scientist on the Duke stroke recovery study demonstrating how neutrophils and AI-engineered scaffolds support tissue repair.

Senior author and teleoperated the humanoid robot during the surgical study; discussed precision and cost advantages compared to specialized surgical systems.

Co-author on ActiveVision benchmark research paper.

Shangyin Tan

Researcher

PhD Student at UC Berkeley

Led paper Scaling Discovery Requires Forgetting showing periodic context clearing improves agent discovery performance.

Beijing neurosurgery resident Shanmu Jin reportedly produced a proof of Crouzeix's Conjecture using GPT-5.6 Sol during a 16-hour autonomous ChatGPT Work session.

Introduced the concept of the tyranny of tasks in AI evaluation methodology.

Shanshan Zhong

Researcher

CS Ph.D. Student at Carnegie Mellon University

First author of SkillLearnBench paper on continual learning methods for agent skill generation.

Co-author of the FGFP neural network compression paper

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

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

Co-author of Anthropic's Economic Index report on AI and work.

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

Coauthor with George Torres on GhostWriter attack research at New Mexico State University.

Sharath Chandra Guntuku

Researcher

Associate Professor at University of Pennsylvania

Co-authored research using AI to analyze social media data for unreported medication side effects.

Sharon Li

Researcher

Associate Professor in Computer Sciences at University of Wisconsin-Madison

Associate Professor and ICML 2026 Program Chair researching safe and reliable AI who reviewed AI Safety Index.

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

Co-authored Google Research paper on prompt hardening in agents across single-turn and multi-turn attacks.

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