People in AI

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.

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-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

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

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.

Parshin Shojaee

Researcher

Research Intern at Apple

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

Author of "The BeyondWeb Paper" on arXiv

Parth Thakkar

Researcher

Longview Asset Management

Co-authored ProgramBench paper on challenging agents to recreate software from binaries and documentation.

Parthasarathy Ranganathan

Researcher

VP, Engineering Fellow at Google

Co-author on Google's ScientistTwo autonomous research agent framework.

Pascal Friederich

Researcher

Professor at Karlsruhe Institute of Technology

Led research combining large language models and machine learning to analyze scientific papers and predict research trends in materials science.

Pascale Fung

Researcher

Co-founder and Chief Research & Innovation Officer at AMI Labs

High-profile researcher who joined AMI Labs as chief research and innovation officer.

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

Pat Pataranutaporn collaborated on designing interfaces that leverage mechanistic interpretability for human-AI interaction.

Researcher at Eleos AI Research studying consciousness and moral status in AI systems who provided expert commentary on Anthropic's research.

Discussed limitations of TRACE method for detecting archaic ancestry in modern genomes and suggested ways to improve confidence.

Expert in formalized mathematics warning that AI-generated proofs will create a radioactive wasteland destroying formalization benefits.

Co-authored policy brief on measuring AI GDP alongside Anton Korinek.

Patrick Wardle

Researcher

Creator & Founder at Objective See

Reported a serious local-hijack security flaw in Meta's Muse agent, demonstrating how broad OS access creates high-value attack surfaces.

Led research at MIT on ChatGPT's emotional attachment effects on heavy users in collaboration with OpenAI safety researchers.

Paul Barbaste

Researcher

Researcher at Wavestone

Co-authored source-code study of eleven production coding agents and harness engineering.

Paul Bouchaud

Researcher

Lead Researcher at AI Forensics

Researcher who reverse engineered deepfake apps and identified KeLing Technology Limited operation.

Bourgine led the study on off-the-shelf cartilage grafts that can be manufactured in advance and used for many patients to repair large bone defects.

Wrote article arguing that AI adoption requires a dedicated Chief AI Officer role rather than committee-based responsibility, with clear accountability for outcomes.

Co-conceived the academic fraud testing project with Alexander Alemi and founder of the preprint repository arXiv.

Flett's longtime collaborator who co-authored books and peer-reviewed papers on perfectionism and its psychological effects.

Co-author with Choe on text-to-image generative AI in art therapy

Co-author of Operation Blue Skies announcement; works on AI weather forecasts to help aircraft avoid contrails over North Atlantic.

Author of DecisionRAG retrieval research paper

Paul Keller

Researcher

Co-Founder at Open Future

Co-author of draft-ietf-aipref-vocab-08 that defines AI Training vocabulary used in the robots.txt policy token.

Paul Krugman

Researcher

Nobel Laureate

Nobel laureate in economics who signed the We Must Act Now statement on AI's economic transformation.

Paul Lewis

Researcher

Radiologist at The Ohio State University Wexner Medical Center

Collaborating on project examining how radiologists rely on AI-drafted chest X-ray reports in simulated clinical environments.

Professor writing about impact of LLMs on student learning and the changed nature of academic work.

Contributed to Bulletin of the Atomic Scientists article on how current AI systems could amplify human blind spots and accelerate nuclear war escalation.

Pioneer of the imaging technique used to create the Human Organ Atlas; emphasized the commitment to open science and accessibility.

Paul Taylor

Researcher

Researcher at Alvaria, Inc.

Taylor was part of McGuire's research team studying AI-generated face trustworthiness.

Co-author of PixelRAG paper on visual document retrieval.

Called the full-brain neural map of decision-making a major historical event in neuroscience.

Senior Applied Scientist at AWS GenAI ML Frameworks team working on distributed training and large-model inference at production scale.

Pavel Izmailov

Researcher

Safety researcher at OpenAI

Pavel Izmailov, a safety researcher at OpenAI, left the company during the recent wave of departures.

Used Claude Code and Codex to identify a potential new planet hidden in NASA telescope data from 2018.

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

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

Google Gemini researcher hired by Meta as part of the company's aggressive recruitment efforts.

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

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

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

Said Laguna S gains come from different behavior, verification, and persistence rather than raw intelligence.

Researcher at Fudan University collaborating on Agentic ASR speech recognition research

Co-authored paper on Retrieve-for-Train framework for faster, more diverse search results.

Pengchuan Zhang

Researcher

Project lead, Meta Superintelligence Labs at Meta

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

Lead author of SkillOpt-Lite paper on agentic model routing for coding tasks.

Co-author on Helix World research.

Co-author of paper studying ChatGPT's impact on stock trading volume and price informativeness

Co-authored paper on cultural and regional biases in LLMs.

Petar Veličković

Researcher

Senior Staff Research Scientist at Google

Researcher who co-authored a paper proving that perplexity may be unsuitable for model selection, as it does not always select for more accurate models.

Pete Klenow

Researcher

Professor at Stanford University

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