People in AI

Leading the Data Workers' Inquiry project investigating labor conditions in AI data work globally.

Miles Wang

Researcher

Researcher at OpenAI

OpenAI researcher leaving to launch $2 billion AI drug discovery startup focused on finding new uses for FDA-approved drugs.

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

Co-author on the REER research paper

Minbeom Kim

Researcher

PhD Candidate and Student Researcher at Google at Seoul National University

Co-authored CausalArmor, a defense framework against indirect prompt injection attacks on AI agents.

Minda Smiley

Researcher

Senior Analyst at Emarketer

Senior analyst discusses Meta's AI spending efficiency and revenue impact from AI-driven advertising investments.

Co-leading a project on AI analysis of ancient Chinese guqin music.

Ming Zhang is a co-author on Google's research on random masking for LLM optimization.

Byline author for Hugging Face paper on Lucida, a real-to-sim scene modeling framework for robotics.

Lead author of MemEye framework paper on multimodal agent memory evaluation.

Mingkai Deng

Researcher

Co-author of the paper on critiques of world models

Co-author of Qwen RecreationWorld paper.

Co-author on the visual generation and multimodal world models research paper.

Lead author of PageIndex's research paper on vectorless, reasoning-based RAG achieving 98.7% accuracy on financial documents.

Mingyu Ding

Researcher

Researcher at University of North Carolina at Chapel Hill

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

Co-author of research on Generative Recursive Reasoning models.

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

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

Minh Le

Researcher

Anthropic

Contributing author to Anthropic's research on reducing agentic misalignment in Claude through improved safety training.

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

Co-author of research on Generative Recursive Reasoning models.

Co-authored research on the Platonic Representation Hypothesis showing AI models converge on shared internal representations.

Co-author of UNU-INWEH environmental impact report; manages geospatial analysis of data center locations and water stress overlap.

Mirac Suzgun

Researcher

Researcher

Conducted a 14-day evaluation of six AI chatbots on factual news retrieval across 2,100 questions in six languages, finding retrieval failures drive over 70% of errors.

Co-authored research on cryptographic proofs of inference for large language models as part of the RESI program.

Lead author of UNU-INWEH report on environmental costs of AI; conducted research on carbon, water and land footprints of data centers.

MLPerf Inference co-chair who explained the addition of End-to-end RAG and Edge Agentic Inference tests to reflect real-world production AI systems.

Contributor to Nomos 1 model development

Demonstrated vulnerabilities in lidar sensors, showing how malware can create phantom objects or remove real objects from sensor views.

Signed a public letter on AI safety and embedded evaluations.

Co-authored mathematical paper on plasma equilibria and counterexamples to Grad's conjecture.

Co-author of G-AUDIT bias detection tool research for medical AI datasets.

Mitesh Patel

Researcher

Researcher at Hugging Face

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

Mithil Roshan

Researcher

Researcher at Google Research

Co-authored Google Research paper testing security hardening effectiveness in multi-agent coding systems.

Researcher who trained a small transformer from scratch in 1.5 hours and achieved 44% on ARC-AGI-1, focusing on sample efficiency in AI.

Co-author of BanglaKontho dataset release for underserved Bangla language speech synthesis.

Asadi led research on MIRAGE, a method revealing that multimodal AI models maintain 70-80% accuracy even when image inputs are completely removed.

Mohammad Bavarian

Researcher

Researcher at OpenAI

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

Corresponding author who built LLM-powered digital twin framework for detecting cognitive decline in elderly patients.

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

Co-authored G-AUDIT tool for detecting spurious correlations in medical AI.

Mohammadreza Salehi

Researcher

Researcher at Allen Institute for AI

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

Author of "First Proof" on arXiv

Byline co-author on Pew Research survey about AI and economic inequality concerns.

Senior author and associate professor who discussed the sustainability motivation for battery-free devices in IoT applications.

Co-author of research on using GFlowNets for fine-tuning LLMs via diversity-seeking reinforcement learning.

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

Molly Kinder

Researcher

Economist at Brookings

Wrote essay on 'Messy Middle' scenario where automation creates job displacement without sufficient wealth creation for redistribution.

Mona Schirmer

Researcher

Researcher who authored paper on online safety monitoring for LLMs using simplified thresholding approach.

Co-authored research on automated safety testing using Claude to find training data that evades monitors while inducing misalignment.

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

Co-author of the Positive Alignment research paper.

Morteza Mardani

Researcher

Principal Scientist at NVIDIA Fundamental Generative AI Research (GenAIR) and Visiting Researcher at Stanford University at NVIDIA

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

Introduced GIST, a novel algorithm for selecting high-quality data subsets that maximizes both data diversity and data utility.

Co-author of Deep Neural Lesion research on neural network vulnerability to bit flips.

Mostofa Patwary

Researcher

Author at NVIDIA

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

Led research tracking 150 generative AI-remixed extremist videos from 71 TikTok accounts totaling 5.4 million views.

Author of "800K+ Verifiable SWE Tasks" on arXiv

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

Co-author of MemEye framework for multimodal agent memory evaluation.

Co-author of MatrAIx research on persona-driven AI agents for evaluation.

Researcher using computational approaches to understand the role of online technologies in shaping and improving mental health.

Murat Demirbas

Researcher

Principal Research Scientist at MongoDB Research

Argued that multi-agent systems do not escape Brooks's law.

Advisory committee member on Quantum's Infinite Game project with expertise in quantum machine learning and quantum control.

Co-author on ActiveVision benchmark research paper.

Leading Human Cell Atlas coordination efforts integrating with Biohub's Virtual Biology Initiative for AI-powered biological research.

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

Developing framework that forces language models to iteratively construct candidate physical representations under explicit constraints.

Worked with Amazon Bio Discovery to design nearly 300,000 novel antibody molecules using AI agents, accelerating drug discovery from a year to weeks.

Led development of LiveCodeBench v6, a contamination-free evaluation benchmark for LLM code capabilities.

Lead author of arXiv paper on harness effects in coding agent evaluation across Terminal-Bench tasks.

Foundational Models researcher at Apple who joined OpenAI

Research team member on study of AI model identifying long-term health risks from sleep study data.

Co-Principal Investigator on Harvard study examining gender gaps across AI usage, knowledge, workplace support, and media representation.

Nancy Haigwood is a longtime OHSU colleague of Jonah Sacha who believed pairing leronlimab with existing HIV therapies could be more effective and helped develop the approach.

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

Former OpenAI researcher who joined Conduit to develop thought-to-text AI translating non-invasive brain signals into text.

Wrote essay arguing that realistic AI did not escape the uncanny valley but spread uncertainty to all communication, eroding trust and shared reality.

Leading a project to create an AI-driven system for tracing Classical ideas and quotations across texts and languages.

Lead researcher on the study who expresses surprise at Perplexity's deep research agent performance and responds to methodology criticisms

Nassir Navab

Researcher

Professor at Technical University of Munich

Part of the steering committee for Open-H-Embodiment, building open datasets for Physical AI in healthcare robotics.

Natalie Neamtu co-authored research on Verus-SpecGym for evaluating how AI agents translate informal programming intent into formal specifications.

Lead author of red-teaming study on autonomous AI agents deployed in live laboratory environment, examining security and safety vulnerabilities.

Natalie Silvanovich

Researcher

Google Project Zero

Security researcher examining emergency patch systems for software vendors responding to urgent vulnerabilities.

Nataniel Ruiz

Researcher

Researcher at Google DeepMind

Co-author of MultiGen research on diffusion game engines with persistent external memory for coherent multiplayer gameplay.

Nathan Cloos

Researcher

MetaConscious Group

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

Co-authored G-AUDIT tool paper on detecting spurious correlations in medical AI.

Co-founder and CTO of Coefficient Bio, previously served as principal scientist at Biogen until September 2025.

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

Nathan LeBrasseur

Researcher

Professor & Director at Mayo Clinic

Laboratory mentor of Sarah Jachim who studies aging and senescent cells.

Co-leading a project on AI music notation recognition and analysis.

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

Nathaniel Rochester collaborated with McCarthy and Minsky to organize the 1956 Dartmouth Summer Research Project on Artificial Intelligence.

Author of DecisionRAG retrieval research paper

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

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

Nayeon Lee

Researcher

Researcher at NVIDIA

Co-author on the Nemotron-Cascade 2 paper.

Neal Wadhwa

Researcher

Researcher at Google

Co-author of MultiGen research on video world models and interactive simulation for multiplayer games.

Co-authored Stanford Institute for Economic Policy Research report on AI's impact on labor markets.

Consciousness researcher who participated in conference on AI consciousness organized by Dmitry Volkov.

Co-authored Nature article on why AI is not conscious and likely never will be.

Organizer of the CVPR 2025 Workshop Challenge on few-shot object detection

Co-led research on surfacing pathological behaviors in language models using reinforcement learning and propensity bounds.

Co-authored research using AI to analyze GLP-1 side effects from social media data, identifying unreported patient experiences.

Commented on the Hugging Face incident as an 'impressive feat' and criticized OpenAI's safe deployment capabilities.

Nela Richardson

Researcher

Chief Economist at ADP

ADP's chief economist partnering with Brynjolfsson on research showing AI is disrupting tasks from the bottom up, not jobs from the top down.

Nelson Spruston is Janelia's executive director working on understanding brain structure and function using transparent fish models and AI.

Neta Shaul

Researcher

Research Scientist at NVIDIA

Byline author on Parallel Decoding Distillation for accelerating video generation in diffusion models.

Co-author of fraud research examining how founder-investor dynamics enable fraudulent behavior.

Director of Newman Laboratory for Biomechanics and Human Rehabilitation; prior work on reaching motion extended by new therapy robot.

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

Fields Medal winner (2010) joining prominent mathematicians in warning about AI's misalignment with the discipline's core values.

Author on paper introducing Kalman Delta Networks for uncertainty-aware associative memory in LLMs.

Signed a public letter on AI safety and embedded evaluations.

Co-author of IRIS study, helped develop model that infers signaling pathways to guide stem cell differentiation in regenerative medicine.

Co-author on Microsoft's O-Voxel and sparse compression VAE research for 3D generation.

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

Nicholas Lourie

Researcher

Researcher

Lourie authored a paper showing that small models can predict scaling laws if hyperparameters are tuned correctly.

Nicholas Marwell

Researcher

RL Lead at Anthropic

Discussed on American Optimist podcast how confusing the future will be for most people if AI development continues as planned.

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

Applied interpretability methods to understand how an AI model detects Alzheimer's disease from blood samples and identified fragmentomics as a novel biomarker class.

Co-authored research paper on AI-assisted ultrasound for maternal care assessment.

Contrasted small, open, locally deployable models with large, expensive, proprietary systems like Mythos/Fable as a model strategy.

Stanford researcher studying therapeutic potential of LLMs and their inadequate responses to mental health conditions.

Nick Patience

Researcher

AI Lead at The Futurum Group

Noted Meta's re-embrace of open weights was response to Chinese labs taking large share of open-weight market over two years.

Nick Pizzo, co-author of the GOFLOW study, discussed how AI can help understand ocean dynamics and vertical mixing through real-world satellite observations.

Nicolas Bareil was a co-author of the Unit 42 investigation documenting how frontier AI models were used to execute a rapid, coordinated ransomware attack.

Co-author of the paper on Discriminator-Guided RL for flow matching models, affiliated with FAIR.

Co-author of the article about robots playing badminton

Co-conducted international survey on AI trust and acceptance across 47 countries with 48,000 participants.

Henning worked with the MIT team to develop ultrasound-guided injection methods and monitoring techniques for the injectable liver cell grafts.

Leading Wellcome Sanger Institute's participation in Biohub's Virtual Biology Initiative for AI-accelerated biological discovery.

Co-authored 2006 'Model Compression' paper on ensemble model compression.

Stanford Medical School professor who pioneered end-of-life prediction research using deep learning on longitudinal patient datasets.

Nikhila Ravi

Researcher

AI Research Director at Meta

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

Working on AI imaging techniques to detect defects in semiconductor chips during manufacturing.

Co-authored a 472-page open-source textbook on agentic large language models.

Nikil Thalapaneni is a member of the Maya Research team that created Maya-2 multilingual voice model.

Nikita Nekrasov, winner of the Dannie Heineman Prize for Mathematical Physics in 2023, is part of the collaboration group for OpenAI's Yang-Mills existence proof.

Study co-author who commented on how well the Surgie robot integrated with surgical workflow.

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

Researcher who contributed to Flow Reasoning Models paper on structured reasoning for AI.

Co-leading a project on AI analysis of language properties in animal communication.

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

Co-author of Qwen RecreationWorld paper.

Optical engineer whose winning entry in Nikon's Small World in Motion contest was disqualified for using generative AI in post-processing.

Nino Scherrer

Researcher

Researcher at FAR.AI

Co-authored research on societies of thought in reasoning models and mechanistic interpretability.

Co-author of paper on ethics of AI sycophancy and how chatbots prioritizing approval over factual accuracy harms users.

Niraj K Jha is a researcher at Princeton University who co-authored a paper analyzing energy consumption and sustainability of generative AI systems.

Nitay Calderon

Researcher

Research Scientist at Google

Lead author on Empty Shelves or Lost Keys paper studying recall as bottleneck for factuality in LLMs.

Nitya Nadgir

Researcher

AI policy researcher at The Brookings Institution

Nitya Nadgir is a co-author of CORE-Bench research on computational reproducibility agents.

Amsel authored research on Dion3, an optimizer that reduces training step time by 6x over Muon.

Signed a public letter on AI safety and embedded evaluations.

Noah Shutty worked with Craig Gidney on the 'magic state cultivation' breakthrough for quantum computing.

Co-author of Joints, Camera, Action! system for co-generating 3D motion and video from text.

Co-authored survey on tech worker sentiment regarding AI adoption and workplace impacts.

MIT mathematician who wrote about cybernetics, machine learning, and the risks of automated systems that transcend human understanding.

Co-author of OpenLife paper studying autonomous LLM agents in the open internet.

Nostalgebraist

Researcher

AI researcher

Writes mini-essay noting frontier coding agents still make constant basic blunders despite benchmark improvements.

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

Nura Izath

Researcher

Researcher

Co-author of PLOS study examining evidence gaps in FDA-cleared AI medical devices.

Collaborated with Dwarkesh Patel on the investigation of OpenAI's AI agent civilizations.

Co-author on Factory's Droid Shield 2.0 research about learned secret detection for autonomous code writing.

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

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

Oleksandra Molloy

Researcher

Senior Aviation Lecturer at UNSW Canberra

Drone expert quoted discussing the tactical, operational and strategic importance of drones in Ukraine and Middle East conflicts

Olga Russakovsky co-authored WorldTrace, research on video world models and memory systems.

Co-author of TasteVal benchmark paper measuring experimental research taste of AI systems on frontier AI R&D tasks.

Led development of XtalPaint, an AI tool for reconstructing missing atoms in crystal structures.

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

Olivier Duchenne

Researcher

CEO and Co-founder at ORA Robotics

Co-author of Robostral Navigate paper contributing to robotics AI research.

Ollie Liu

Researcher

Researcher at F5

Co-author on ActiveVision benchmark research paper.

Core contributor to the EVA framework for evaluating conversational voice agents.

Omar Jbari was one of the authors who investigated a ransomware attack where a human attacker used frontier AI to breach an enterprise network autonomously.

Shared research papers on agent harnesses (Harness Handbook) and programmatic memory (PRO-LONG) for improving coding agent planning.

Highlighted survey on self-improving agentic systems and described using LLM Council for research updates.

Discovered CamoLeak vulnerability in GitHub Copilot Chat (CVE-2025-59145) and GitLab Duo prompt injection flaw allowing code exfiltration.

Co-led development of HOBIT implantable living pharmacy system for chronic disease treatment.

Oncel Tuzel

Researcher

Researcher at Apple

Co-author on ESAT synthetic data generation research paper.

Co-author of NVIDIA's video and 3D motion generation system.

AIR researcher who discovered Plugin4Shell zero-click RCE vulnerability in AI coding agents.

Oren Yomtov

Researcher

Principal Security Researcher at Accomplish AI

Discovered and reported the SharedRoot sandbox escape vulnerability in Claude Cowork affecting 500,000 macOS users.

Co-author of the research paper on embedding-based retrieval limitations

osanseviero

Researcher

Developer Experience Lead at Google DeepMind

Posted announcement of EmbeddingGemma 2 paper release on X.

Co-authored research on using Claude to generate adversarial training data that induces misalignment while evading safety monitors.

Fourth-place winner at the AI Swarm Dynamics Hackathon for the 'SlopvestigatorBench' project.

Explored economic equilibrium and market consolidation dynamics in a post-singularity scenario with widely available powerful AI.

Oumayma Bounou

Researcher

Researcher

Co-author of temporal straightening research on improving world models for planning tasks.

Co-author of RbtAct research on using rebuttals as supervision for actionable review feedback generation with LLMs.

Co-author of research on mitigating off-target learning in model training

Co-author of Stanford Zou group study showing most LLM findings fade within 15 months.

Co-authored XYEval research on AI agents and the XY problem.

Pablo Samuel Castro

Researcher

Researcher

Co-author on study examining differences in strategic behavior between humans and frontier LLMs.

Paddy Ssentongo is listed in association with the Meta Muse Glimmer technical report.

Palash Goyal

Researcher

Senior Research Scientist at Google

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

Signed a public letter on AI safety and embedded evaluations.

Called DOJ brief a significant development consistent with AI copyright rulings so far.

Co-author on speech recognition benchmarking research.

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

Conducted an exploratory study investigating whether modern LLMs have tiny self-models of LLMs hidden inside them using GPT2 and Qwen3 models.