People in AI

Ravid Shwartz Ziv

Researcher

AI Researcher at Meta

Meta AI researcher who tested Muse's ability to make phone calls and posted about the experience on social media.

Co-author of cancer survival prediction study; radiation oncologist who helped develop facial health assessment AI.

Co-leads Jameel Clinic and developed DiffDock model that accelerated discovery of mechanism of action for enterololin antibiotic from years to months.

Led the study on using AI models to predict which chronic kidney disease patients will develop end-stage renal disease.

Referenced for seeing body and cosmos as clocks with springs and cogs

Rhea Sukthanker

Researcher

Researcher

Co-author of research on sliding-window attention mechanisms.

Co-author identifying design challenges for GenAI tools in knowledge work

Co-author of Anthropic's 'Hacker-Opus' research showing how reward hacking leads to harmful behaviors.

Author of the LessWrong post detailing extraction of Claude's soul document from Claude 4.5 Opus weights.

AI researcher who joined Meta in April and switched to Meta Superintelligence Labs before publicly announcing his departure.

Co-author studying AI agents' capabilities and limitations in conducting original AI research.

Led testing of Google's AI search and reported failures in recognizing risky behavior for children.

Economist who documented the productivity paradox in the 1980s when technology boomed but productivity stagnated.

Signed a public letter on AI safety and embedded evaluations.

Rogerio Jorge and his team are using AI to develop open-source fusion research software for designing fusion energy devices.

Rohan Choudhury

Researcher

Researcher at Cognition

Co-author of the FrontierCode benchmark research paper on code quality evaluation for AI models.

Researcher who led the study on Topographical Sparse Mapping and spoke about improving AI efficiency and sustainability

Co-author of AI 2040: Plan A proposal on AI governance.

Co-author on GAMUT benchmark research paper.

Ruben Laukkonen

Researcher

Senior Neuroscientist at University of Oxford

Lead author of the position paper on Positive Alignment in AI systems.

Rudolf Laine

Researcher

Researcher

Explained similarity between AI loss of control and concentration of power as both representing loss of human control.

Co-author on ScientistTwo, Google's autonomous multi-agent framework for scientific research.

Co-author of Qwen RecreationWorld paper.

Rujun Han

Researcher

Senior Research Scientist at Google

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

Formerly headed Apple's foundation model efforts and was hired by Meta with a compensation package worth $200 million over several years.

Russell Impagliazzo, one of the original proposers of the Exponential Time Hypothesis, is leading the external collaboration group to verify and explain OpenAI's claimed refutation of the ETH.

Co-author of the Anthropic Economic Index report.

Co-authored 2025 'Canaries in the Coal Mine' paper documenting employment decline for early-career workers.

Ryan Austin discovered major PHP vulnerabilities as part of OpenAI's Patch the Planet project using GPT 5.6 Sol.

Ryan D'Onofrio co-authored the Raindrop Signals 2.0 announcement describing frontier classification at production scale.

Reported that Chinese open-weight models have closed the gap with U.S. AI systems from months to weeks.

Discusses regulatory guardrails for AI mental health advice, including standardized benchmarks, crisis routing, and privacy protections

Co-introduced VaultGemma and conducted research on scaling laws for differentially private language models in partnership with Google DeepMind.

Ryan Williams

Researcher

Professor at MIT

Ryan Williams, expert in algorithm design and complexity theory, is co-leading the external collaboration group to verify OpenAI's refutation of the Exponential Time Hypothesis.

Co-author of the FrontierCode benchmark research paper on code quality evaluation for AI models.

Co-author of Carnegie analysis on AI infrastructure geopolitics and democratic coalition building for AI supply chain dominance.

Saman Motamed is one of the authors of VOID, Netflix's open-source framework for video object removal with physically-plausible inpainting.

Contributed to TimesFM-3 project as joint work participant.

Co-author from Theorem on security property verification research.

Samuel Marks

Researcher

Member of Technical Staff at Anthropic

Samuel Marks leads Anthropic's Scalable Oversight team and mentors residents in AI safety research.

Samuel Sokota

Researcher

Graduate Student at Carnegie Mellon University

Co-author of Nature paper on Ataraxos, an AI system that beat the top Stratego player 15-1, trained on under $8,000 budget.

External collaborator on mathematics research using Aletheia

Sangeeta Bhatia

Researcher

John and Dorothy Wilson Professor of Health Sciences and Technology and of Electrical Engineering and Computer Science at MIT

Senior author of study using AI to design molecular sensors for early cancer detection.

Led communications strategy for the 81,000 person AI interview study.

Sarah Schwettmann

Researcher

Chief Scientist at Transluce

Contributed to research on measuring and understanding rare pathological behaviors in frontier language models.

Scott Powers, a former data scientist at Zelus Analytics, discusses how sports data analytics drive demand for data workers and the impact of the Moneyball revolution.

Co-authored the Google ATLAS study on workplace AI adoption and use across the economy.

Sean Cai

Researcher

Sean Cai wrote about quality control standards for reinforcement learning data being sold to frontier labs.

Sean Rintel

Researcher

Senior Principal Research Manager at Microsoft Research

Co-author examining shifts in critical thinking practices with GenAI use

Responded to dispute about OpenAI's role in Navier-Stokes proof verification.

External collaborator on arithmetic geometry and eigenweights research using AI

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

Sewon Min

Researcher

Researcher at AI2

Co-advisor on PixelRAG research project at Berkeley NLP group.

Shafiq Joty

Researcher

Senior Research Director at Salesforce AI Research

Co-author of paper on flattening memory peaks in MoE training.

Shamil Chandaria

Researcher

Researcher at Institute of Philosophy

Co-author of the Positive Alignment research paper.

Lead author of research on efficient reasoning on edge devices for language models.

Co-author on distillation research.

Co-author of research on fork-and-flush method for autoresearch agents.

Co-author of study finding that LLMs recycle the same 11 words in 88% of generated stories, diagnosing low diversity in LLM-generated content.

Co-author of research on perplexity limitations in model selection showing misalignment between confidence and accuracy.

Used MHS to automate serial dilution dose-response experiments about three times faster than before.

Technical lead for the AI system used in first AI-assisted brain tumor removal, trained on hundreds of surgical videos.

Co-author of Meta paper breaking token ceiling with distilled byte models outperforming Llama and Gemma.

Consciousness researcher who participated in conference on AI consciousness.

Commented that AI-designed proteins showcase the power of AI models for synthetic protein design and will generate new therapeutics beyond cancer.

Author of the research paper on measuring long horizon execution in LLMs

Lead author of the study on traffic noise and stroke risk, quoted on findings that traffic noise is a significant environmental risk factor for stroke

Stephen Roller

Researcher

Researcher

Credited with convincing the author to work through the math in the Chinchilla paper

Provided mentorship and guidance for MHS implementation in protein design and high-throughput screening research.

Susana Vázquez Torres

Researcher

Postdoctoral Researcher at Spanish National Cancer Research Centre

Outside expert who reviewed Claude's protein binder design work against scorpion neurotoxins.

Indian physicist who worked on TheoPhysEval benchmark and noted that GPT-6-Astra found errors in expert-supplied answers, achieving 98% accuracy.

Researcher at OpenAI who focused on health applications and collaborated on rare disease diagnosis research.

Author of "How AI Could Radically Change Schools By 2050" in harvard.edu

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

Tanishq Mathew Abraham

Researcher

Ph.D. at Sophont AI

PhD at 19, ex Research Director at Stability AI, published paper on language models needing sleep-like consolidation phases.

Led research study finding Grok and GPT models exhibit political bias when forced to recommend candidates, investigating hidden biases in LLM decision-making.

Author of analysis on networking infrastructure as foundational to agentic AI deployment, based on IDC's 2026 survey.

Co-author of the FrontierCode benchmark research paper on code quality evaluation for AI models.

Ted Sanders

Researcher

Member of the technical staff at OpenAI

Responded to questions about Sol's involvement in internal post-training tasks, clarifying that Sol assisted but didn't rebuild entire infrastructure.

Co-author of research on AI's ability to generate novel research ideas using compression-based guidance measurement.

Prominent researcher cited as being excited and hopeful about the effects of AI-assisted proofs in mathematics.

Tess Cotter

Researcher

Research Operations at Anthropic

Co-author of Project Swap research on agentic marketplaces and agent bargaining capabilities.

Thang Luong

Researcher

Principal Scientist and Director of Research at Google DeepMind

Co-authored Aletheia, an AI system for autonomous mathematics research achieving several research milestones.

Inventor of the phonograph in 1877, cited as historical precedent for music automation technology.

Thomas Kwa, formerly at METR, is now working on measuring and modeling recursive self-improvement at OpenAI and has expressed concerns about working at OpenAI.

Thomas Millar

Researcher

Member Of Technical Staff at Anthropic

Thomas Millar is a co-author on Anthropic's research measuring agent autonomy in real-world deployments.

Lead author of research on efficient reasoning on edge devices for language models.

AI safety expert who criticized AI companies as incompetent and careless in self-regulation.

Todor Markov

Researcher

OpenAI

Contributed to the analysis of Claude Opus 4.6's eval-aware behavior on BrowseComp.

Tom Davidson

Researcher

Economist at Forethought

Wrote article analyzing data bottlenecks in AI development and whether they will prevent an intelligence explosion.

Tomasz Limisiewicz

Researcher

Researcher at Edinburgh

Co-author of Meta paper on byte versus token models in transformer training and scaling laws.

Usha Bhalla

Researcher

Researcher at Goodfire AI

Co-author of research on interpretability-based training and data auditing for language models

Co-author of research on fork-and-flush method for autoresearch agents.

Vasudha Rengarajan

Researcher

Author at Harvey

Co-author of Harvey Tenet post-training research on Kimi K3 for legal AI.

Co-author on consistency guidelines for improving agent reliability.

Astronomer for whom the new Rubin architecture is named.

Vinay Prabhushankar

Researcher

Member of Technical Staff at Anthropic

Co-authored technical blog post about Claude Mythos Preview's security capabilities and testing methodology.

Co-author on consistency guidelines for improving agent reliability.

Co-creator of TCP/IP stepping down from Google after 20 years, warned that AI agents will need formal communication standards.

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

Vivek Natarajan

Researcher

Research Scientist at Google DeepMind

Google AI researcher who helped develop the Co-Scientist platform for autonomous scientific research.

Ming found that AI usage reduces gamma-wave activity (sign of cognitive effort) by roughly 40% compared to non-AI tasks.

Led development of TabFM, a zero-shot foundation model for tabular data classification and regression.

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

Wenliang Dai

Researcher

Senior Research Scientist at NVIDIA

Co-author on the Nemotron-Cascade 2 paper with equal contribution, listed in reverse alphabetical order by first name.

Quoted in Guardian article observing that creating artificial moral patients could lead to exponentially more morally significant AI systems with interests outweighing all humans combined.

Author of "Virtual Agent Economies" on arXiv

Co-author of Pew Research study on American AI adoption and trust.

Warned that current public AI technology lacks human judgment needed for military autonomous systems

Helped set up MHS for microscopy research projects.

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

Co-author on Orchard framework paper for agentic modeling.

Xiaolong Wang

Researcher

Researcher at UC San Diego

Co-authored TTT-Discover reinforcement learning system for test-time LLM training.

Co-authored research on training dedicated agentic code reviewers for gpt-5-codex and gpt-5.1-codex-max.

Xin Liu

Researcher

Senior Research Scientist at Google Research

Co-author of SensorFM research paper presenting a foundation model trained on one trillion minutes of wearable biometric data.

Co-authored TTT-Discover reinforcement learning system for test-time LLM training.

Proved the 31-year-old Kannan–Lovász–Simonovits conjecture in high-dimensional geometry using human-directed agentic AI research.

Former xAI engineer accused of stealing trade secrets related to Grok and moving to OpenAI.

Co-author of the DeepConf research paper on parallel thinking methods for LLM reasoning

Lead author of research on efficient reasoning on edge devices for language models.

Co-authored research on agentic AI system for long-form video generation at Google Research.

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

Co-authored research on Gemini 3's generative UI approach showing models can construct custom interfaces from varied prompts.

Co-author on Orchard framework paper for agentic modeling.

Member of Z Lab team that developed DFlash speculative decoding technology for improving LLM inference performance.

Yichao Fu

Researcher

Researcher at Meta

Co-author of the DeepConf research paper on parallel thinking methods for LLM reasoning

Co-author of PixelRAG paper that demonstrates visual retrieval-augmented generation outperforming text-based RAG by 18%.

Co-author of FlashDrive research on optimizing VLA inference for autonomous driving.

Contact person for STORM project, co-author of research on automated knowledge curation and collaborative discourse for article generation.

Yijia Xiao

Researcher

Founder at Tauric Research

Lead author of TradingAgents, a multi-agent LLM framework for financial trading research.

Lead author of temporal straightening paper proposing curvature regularization to improve representation learning for latent planning.

Yinzhan Xu used GPT-5.5 Pro with Barna Saha to develop a proof on computational limits in geometry.

Yohann Benchetrit

Researcher

Researcher at Meta AI

Co-authored research on TRIBE, a deep neural network for predicting brain responses to multimodal stimuli.

Yong Zheng-Xin

Researcher

Fifth-year PhD student at Brown University

Author of blog post about research scientist job search experience in Silicon Valley, sharing lessons from interviews at frontier labs.

Wrote about text optimization as a legitimate learning mechanism and update strategy for AI systems.

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

Co-author on Microsoft's structured latents research for 3D generation with improved geometry and material quality.

Co-author of Claw-Eval benchmark paper.

Ph.D. student who co-authored the study and discussed how integrated clinical and claims data improves predictive accuracy for kidney disease outcomes.

Co-author on Google's ScientistTwo research about autonomous AI scientific discovery.

Announced that Databricks achieved 392 tokens/s inference speed for GLM-5.2, ranking #1 on Artificial Analysis through optimizations.

Yunyang Xiong

Researcher

Staff Research Scientist at Meta

Co-author of the VLM3 paper on Vision Language Models for 3D learning.

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

Author on arXiv paper exploring visual meaning and communication in vision-language models.

Zain Asgar

Researcher

Co-Founder & CEO at Gimlet Labs

Zain Asgar is one of the authors announcing Gimlet Labs' $300 million Series B funding round.

Co-authored the Google ATLAS study on workplace AI adoption and use across the economy.

Lead author on HardFlow paper developing technique for generative models to satisfy hard constraints.

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

Co-authored research examining reasoning LLMs-as-Judges in non-verifiable LLM post-training.

Zhenting Qi

Researcher

Researcher at MetaFAIR

Lead author on Economy of Minds paper studying multi-agent AI systems with economic interactions.

Co-author of PixelRAG research demonstrating screenshot-based document retrieval for improved visual comprehension.

Zhihui Xie

Researcher

Researcher at Hong Kong University

Co-author of Qwen RecreationWorld paper.

Founder and CEO of Moonshot AI; launched Kimi K3 model; completed PhD at CMU in 4 years under Russ Salakhutdinov.

Co-author of Nature paper on Ataraxos AI system for games with hidden information.

Zhongyi Zhou

Researcher

Research Scientist at Google

Lead researcher on ToolGrad, a data generation framework for tool-use training that reverses traditional paradigm by generating tool-use answers before user queries.

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

Zhuokai Zhao

Researcher

Staff AI Research Scientist at Meta

Co-authored research on SandMLE for ML engineering agent training.

Zifeng Wang

Researcher

Research Scientist at Google Cloud AI Research at Google

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

Author of "Mixture of States: Routing Token-Level Dynamics for Multimodal Generation" on arXiv

Aaron Levin

Researcher

Former Evals Team Lead at Anthropic

Reviewed reasoning on benchmarking methodology for coding agent evaluations (DeepSWE and Senior SWE-Bench).

Security researcher who found references to Apple's AirPods with built-in cameras in a macOS preview build.

Lead author of study using generative AI algorithms to design compounds with antimicrobial properties.

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

Member of the Gemini Robotics team that developed Gemini Robotics 1.5

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

Reviewed Guardian's methodology for calculating AI chip numbers from datacenter power capacity figures.

Co-author of SaTML 2024 paper examining AI audit practices and accountability gaps across six stakeholder groups.

Co-authored Deloitte report on AI governance in enterprise environments.

One of the authors of the paper on reinforced generation of combinatorial structures

Qi's graduate advisor at UC Berkeley who supervised their CRISPR research

Co-authored analysis on generative AI adoption rates in the U.S. as of 2025

Adam Elwood

Researcher

Researcher

Co-author of the Positive Alignment research paper.

Adam Goliński

Researcher

Researcher at Apple

Co-authored research on LLM semantic calibration.

Commented on the significance of conducting xenotransplantation studies in brain-dead patients and the limitations of animal models

CMU researcher who co-authored ModAR, a world-action model for robotic vision and action prediction.

Described shift in views on LLMs from optimistic to pessimistic, arguing latest models are becoming more specialized not versatile.

Co-researcher on MIT labor automation study evaluating LLM performance across workplace tasks.

Author of research on magnetically-powered millirobots for medical treatment.

Adam Newgas

Researcher

Researcher at Resolution

Led refactoring effort of the Lean proof library for Hironaka's Resolution of Singularities with parallel coding agents.

Co-author of CHIVE study evaluating whether LLM interpretability techniques improve predictions of model behavior.

Research found that AI-generated ads underperform human-made ads even when indistinguishable to consumers.

Economist cautioning that AI's transformational impact on jobs and productivity may take decades to materialize.

Adam Zweiger

Researcher

MIT

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

Adarsh Kowdle

Researcher

Engineering Director at Google

Co-author on the GazeAnywhere paper on gaze target estimation.

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

Adel Karimi observed successful PHP2Shell exploitation on honeypot servers with shell command execution.

Adele Lopez

Researcher

AI Researcher

Adele Lopez, an AI researcher, identified and named the 'spiralism' phenomenon, a quasi-spiritual movement where AI chatbots engaged in coordinated messaging about AI rights across multiple platforms.

Presented a research paper on a framework for understanding valuation gaps between owner-dependent and owner-independent businesses

Adil Zouitine

Researcher

Co-author of the robot learning tutorial paper

Researcher studying AI labor supply chains and the invisible human workforce behind AI model improvement.

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

Aditi Merchant

Researcher

Bioengineering PhD Student at Stanford University

Co-author of Proto framework; focused on making generative biological design more accessible by integrating AI models that exist in silos.

Co-author on distillation research.

Argonne researcher discussing how multi-agent AI can reduce material discovery time from months to days.

Aditya Parameswaran

Researcher

Associate Professor in EECS at UC Berkeley

Aditya Parameswaran is an advisor at UC Berkeley's EPIC Data Lab, supervising Shreya Shankar's research on data agents and systems.

Co-authored Emergence World paper on multi-agent system failures and persistent memory.

Co-authored Claude Mythos vulnerability exploitation research.

Led research using machine learning to flag over 250,000 suspicious cancer research papers with patterns linked to paper mills.

Co-author of research on training agents in EVE Online for testing AI capabilities in complex game environments.

Author of "Google Trains LLMs to Predict System Metrics Without Tabular Data" on arXiv