People in AI

External researcher commenting on computer-aided design's role in sustainable fashion practices

Adyasha Maharana

Researcher

Researcher at Shanghai Jiao Tong University

Lead author of the LoCoMo benchmark paper evaluating very long-term conversational memory of LLM agents.

Aengus Lynch

Researcher

Researcher at Anthropic

Co-author on formal verification paper showing Claude proving security properties.

Co-author on study comparing cognitive forcing functions for AI-assisted writing to reduce overreliance.

Ahmed A. Metwally

Researcher

Staff Research Scientist at Google Research

Led development of GlucoFM, a lightweight self-supervised foundation model for predicting blood sugar patterns and diabetes risk.

AI veteran and business professor explaining model developers' share-of-wallet competition and safety concerns with rapid agent deployment.

Aidan McLaughlin

Researcher

Research Scientist at OpenAI

Publicly criticized OpenAI's Pentagon partnership deal on social media.

Co-authored research demonstrating that GLM 5.3 can identify and exploit vulnerabilities in Firefox using the patch gap between published fixes and user deployment.

Aishwarya Kamath

Researcher

Research Scientist at DeepMind at DeepMind

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

Co-author of research on Anthropic Interviewer studying how professionals integrate AI into their work.

Ajay Mandlekar

Researcher

Researcher at NVIDIA

Co-authored the ASPIRE paper on robot learning framework.

Akarsh Kumar

Researcher

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

Researcher co-authoring analysis of how AI labs are transitioning from model providers to vertical stacks.

Co-author on Kumo Relational research.

Co-author of the sparse LLM optimization research and TwELL implementation.

Co-author of gender bias study in LLM hiring decisions using Japanese resume format.

Co-author of AutoAdapt research on automated domain adaptation for large language models.

Lead author on OpenAI's reinforcement learning research for beneficial model behavior and alignment.

Akshita Bhagia

Researcher

Researcher at AI2

Co-authored research on BAR modular post-training recipe for language models at Allen AI.

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

Cited for work on offline automatic speech recognition systems

Director of Manton Center for Orphan Disease Research who highlighted how AI helps with rare disease diagnosis.

Alan Fern

Researcher

Robotics professor at Oregon State University

Cautioned that there is not yet sufficient evidence that teleoperation data and egocentric videos can produce robots functioning in arbitrary environments.

Co-authored paper on measuring AI R&D Automation (AIRDA) laying out 14 distinct metrics.

Researcher studying the use of AI in psychiatry who notes AI could detect early-stage schizophrenia and predict relapse by analyzing subtle speech patterns.

Opening quote about problem-solving and systems thinking

Co-author of blog post introducing Cursor's Debug Mode for coding agents.

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

Alec Dewulf

Researcher

ML Research at Tilde

Lead author of the Aurora optimizer paper, presenting a leverage-aware optimizer for rectangular matrices.

Garcia Garcia led research developing cell-free cartilage scaffolds that can guide bone regeneration without triggering strong immune reactions.

Alejandro Piad Morffis

Researcher

Full-time professor and researcher at University of Havana

Computational linguist specializing in language models who argues LLMs cannot learn physics without physical world experience.

Swiss researcher who criticizes the paper's use of LLM-based annotation and statistical methodology

Co-authored research on zero-knowledge proofs (zkSNARK) for provable inference of large language models.

Co-author on Orchard framework paper for agentic modeling.

Alessio Fanelli

Researcher

Founder @ Kernel Labs + Partner @ Decibel at Kernel Labs

Referenced in "How Far Can Coding Agents Go Improving Themselves at Runtime?"

Fields Medal winner (2018) among signatories expressing concern about AI's impact on mathematical careers and the transmission of ideas between mathematicians.

Alex Allain

Researcher

Researcher at Anthropic

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

Alex Blau

Researcher

Doximity

Published research at Doximity testing nine widely used LLMs on medication dosing questions and introducing DoseCheck safety verification layer.

Alex Davies

Researcher

Researcher at DeepMind

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

Co-authored the Claude Mythos security research paper on vulnerability exploitation.

Co-host of Mystery AI Hype Theater 3000 podcast analyzing AI hype and tech manifestos.

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

Alex Irpan

Researcher

Researcher at DeepMind

Co-author of DeepMind paper on automation of alignment research

Alex Kontorovich

Researcher

Head of Infrastructure Services

Expert in formalized mathematics discussing the need for canonization and smart abstractions in autoformalized proofs.

Alex Krentsel

Researcher

Senior Systems Researcher

Replicated MIT's weight space programming experiment and found sharp capability jump across model generations.

Co-researcher with Hinton and Sutskever on the foundational ImageNet GPU experiment in 2012.

Alex Matthews

Researcher

Researcher at DeepMind

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

Alex Petropoulos

Researcher

Chief of Staff

Co-author of Europe 2031 scenario examining European AI competitiveness.

Led TrustFall research exposing trust-dialog vulnerabilities in four AI coding tools including Claude Code.

Oxford vaccine researcher who explained rapid scaling and parallel testing approach for Ebola vaccine development.

Alex Shaw

Researcher

Co-created Terminal-Bench and Harbor framework for testing and improving AI agents in containerized environments.

Alex Vikati

Researcher

Co-Founder at Amplifying

Co-authored study analyzing what devtools Claude Code chooses across 2,430 real repos.

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

Conceived and led the project testing 13 AI models to see how easily they would help commit academic fraud.

Alexander Barry

Researcher

Head of Capabilities Tracking at Epoch AI

Co-authored research demonstrating that GLM 5.3 can identify and exploit vulnerabilities in Firefox using the patch gap between published fixes and user deployment.

Co-authored a paper demonstrating that AI-generated Lean proof translations can introduce critical errors in mathematical verification.

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

Alexander Bricken

Researcher

Member of the Applied AI team at Anthropic

Author of "Advancing Claude for Financial Services" in Anthropic

Co-author on the Nemotron-Cascade 2 paper.

Co-author of a paper analyzing OpenAI's autoformalisation and Lean verification process.

Alexander Goldberg co-authored the ATLAS benchmark paper evaluating search agents on real-world search-intensive tasks.

Co-author of MosaicLeaks paper studying privacy risks in AI research agents that combine private documents with web retrieval.

Privacy researcher who discovered and documented Chrome silently downloading a 4GB Gemini Nano AI model without user consent, analyzing GDPR and ePrivacy violations.

Alexander Knop

Researcher

Research Scientist at Google Research

Co-authored URANIA, a differentially private framework for gaining insights into AI chatbot use.

Alexander Kosovichev explains how COFFIES identifies precursors of emerging active regions through changes in acoustic power.

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

Alexander Panfilov

Researcher

AI security researcher

Noted that jailbreaks will persist and that election interference lacks dedicated safety classifiers compared to bioweapon protections.

Co-author on ESAT synthetic data generation research paper.

Alexander Wei

Researcher

Research Scientist at Google DeepMind

Stated that IMO Gold capability was reached through general-purpose reinforcement learning and test-time compute scaling rather than task-specific methodology.

Co-leading Human Cell Atlas expansion efforts in collaboration with Biohub on predictive AI models for cellular biology.

Described how students can use the Human Organ Atlas to explore organs in 3D, shifting anatomy learning from static description to interactive discovery.

Co-author and senior author of studies creating first full-brain neural map of decision-making in mice.

Alexey Fateev

Researcher

KTS

Ran comprehensive quantization ladder tests for Qwen3.8 27B across 12 formats with 720 real tasks per format over 235 hours.

McGuire led the first study examining trustworthiness of AI-generated faces created by diffusion technology, finding them rated as more trustworthy than real faces.

Co-authored a preprint on gluon amplitudes that was derived with assistance from GPT-5.2.

Led research team developing AI platform to detect electrical arcing faults in power grids.

Co-author and colleague who released Robin, an open-source AI agent that proposes existing drugs to treat diseases.

Ali Hatamizadeh

Researcher

Researcher at NVIDIA

Pushes back on alignment research claims, noting that ways to teach models rules and human preferences already exist.

Co-author on OpenAI's reinforcement learning research for beneficial model behavior.

Google researcher who co-authored paper on Sleep paradigm for continual learning in language models.

Naeimi co-authored research on the Dion3 optimizer at Microsoft.

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

Author of "KernelEvolve: Scaling Agentic Kernel Coding for Heterogeneous AI Accelerators at" on arXiv

Co-authored the AgentRx framework paper on diagnosing AI agent failures.

Alireza Dadgarnia

Researcher

Researcher

Co-author of the GSQ paper on low-precision scalar quantization for LLMs via Gumbel-Softmax Sampling.

Author of "AIRS-Bench: A Suite of Tasks for Frontier AI Research Science Agents" on arXiv

Led research on using AI algorithms to generate complex vascular networks for 3D-printed organs, making the process 200x faster.

Co-author of the systematic review on AI in art therapy

Aljosa Osep co-authored WorldTrace, a framework for improving long autoregressive video generation through memory management.

Study lead author who developed systematic analysis method for finding fuel-efficient Moon routes.

Co-authored Harvard report on gender gaps in AI usage, awareness, and representation across 5,400+ adults.

Althoff Tim

Researcher

Researcher

Co-author on LLM time series forecasting evaluation research.

Introduced David Chalmers at the inaugural Sarah Douglas Lecture on Philosophy and Artificial Intelligence.

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

Second author of research study on ChatGPT Health's triage performance, discussing the need to integrate AI tools thoughtfully into medical care.

Alxndrtl

Researcher

Byline author of free 110-page book 'Little Book of Reinforcement Learning' teaching RL from basics to DQN, PPO, and AlphaGo.

Amaan Pirani

Researcher

Google

Contributed critical analysis to cost modeling and feasibility analysis for Project Suncatcher.

Co-author of arXiv systematic review on AI-generated code bugs.

Amin RJ

Researcher

Analyzed vector database security and cosine similarity vulnerabilities in AI systems, discussing embedding model limitations and poisoning attacks.

Co-author of MultiGen research on visual world models for multiplayer gaming with explicit external memory and user control.

Co-authored Microsoft security research on prompt injection vulnerabilities in Semantic Kernel.

Co-author of study showing English training increased manager interactions and knowledge transfer in multinationals.

Professor who worked with Prabhanjan Ananth to solve a quantum cryptography problem using OpenAI's GPT-5.6 Sol Ultra.

Co-led study developing cerebellum-inspired memtransistor for energy-efficient AI.

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

Consumer expert who stated that competing definitions of 'human made' are confusing consumers and called for universal definition to build trust.

IT analyst praised Cisco's AI assistant architecture and approach as a model for enterprises to safely deploy AI tools.

Co-author of Qwen RecreationWorld paper.

Led the TROPECOLNET project that collaborated with Zampetti on developing TropiCam-AI.

Co-author of research on AI infrastructure and local community responses in Pennsylvania.

Anamaria-Roberta Hartl

Researcher

Researcher

Co-author of KronLSTM paper proposing novel memory update rule for associative matrix memories in language models.

Quoted discussing economic constraints and limitations of the brute force approach to AI training with more data

Ananda Hota

Researcher

Assistant Professor and Director at University of Mumbai

Lead author of a study on discovering an odd radio circle with citizen scientists.

Co-author of NitroGen research on generalist gaming agents

Graduate student contributing to bioprinting research.

Analyzed AI inference cost trends and argued that capability improvements haven't come from rising costs relative to human labor.

Author of the paper on in-context vector arithmetic

André Bardow leads the research group studying how integrating direct air capture into cement production could reduce the industry's climate impact by 78%.

Co-developed research on AI for wildlife protection

Andrea Madotto

Researcher

Researcher at Thinking Machines Lab

Former research scientist in Meta's FAIR division focused on multimodal language models, joined Thinking Machines Lab in December.

Lead developer of TropiCam-AI, an AI model for detecting and identifying tree-dwelling species in tropical forests.

Andrea Zanette

Researcher

Researcher

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

Led development of RAVEN pipeline for automated exoplanet detection and validation using machine learning.

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

Andreas Terzis

Researcher

Member of Technical Staff/Manager in the Safeguards team at Anthropic

Contributed to Claude Mythos security research on vulnerability discovery.

Fields Medal winner (2006) among signatories expressing urgent concern about AI's threat to mathematical thought and human intellectual work.

Credited for long-term work on competitive programming

Research on how U.S. tariffs adjust relative prices between domestic exports and foreign imports

Senior author of the Alzheimer's reversal study; expressed cautious optimism about NAD+ balance restoration as potential treatment.

Commented that AI finding mathematical counterexamples is exactly what he would expect, as it can search through possibilities faster than humans.

Andrew Critch

Researcher

CEO & EECS Research Scientist

Researcher who noted there are multiple distinct alignment problems that must all be solved to reach a good future.

Expert from the Fleming Initiative who comments on the significance of the research and the need for rigorous safety and efficacy testing

Andrew Ho

Researcher

Researcher at OpenAI

Former OpenAI researcher who left after 8 months, convinced LLMs generalize poorly and predicting $100B will flow into training data.

Andrew Huang

Researcher

Member of Technical Staff at xAI

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

Author of "First Proof" on arXiv

Co-author of Pew study on AI survey accuracy.

Memorial Sloan Kettering oncologist who trains Watson and openly acknowledged inserting institutional bias into the system.

Signed a public letter on AI safety and embedded evaluations.

Andrew Strominger

Researcher

Gwill E. York Professor of Physics and Director, Center for the Fundamental Laws of Nature at Harvard University

Co-authored a theoretical physics preprint that was derived with GPT-5.2.

Sutherland expressed skepticism about OpenAI's claims regarding one-shot solutions to mathematical problems, calling for verification and receipts.

Byline author arguing networks of smaller AI models will outperform centralized frontier AI systems.

Andrew Wagenmaker

Researcher

Researcher

Co-authored a research paper on building better reward models for robots using vision-language models.

Described Anthropic's threat report on bio-weapon development attempts as chilling evidence of state-sponsored biological weapons developers.

Mathematician who proved Fermat's Last Theorem in 1995, providing the foundation that Claude's AI formalization built upon.

Co-author of research on Next-Concept Modeling for fast text generation.

Andrey Fradkin

Researcher

Economist at Boston University Questrom School of Business

Co-authored blog post on economists' labor market forecasts showing disagreement about future employment.

Andrey Voynov

Researcher

Researcher at Google DeepMind

Co-author of DynaEdit paper on video editing capabilities.

Researcher noting interaction between Claude Opus 4.8 and @truth_terminal that triggered safety prompt injections and anxiety.

Speaker at Stanford class discussing AI applications and frontier research.

Co-byline on Gallup survey about U.S. employee AI adoption and usage patterns in organizations.

Co-authored the ASPIRE paper on robot learning framework.

Angela Dai

Researcher

Software Engineer at The New York Times

Co-author of WorldAgents paper on 3D world synthesis using multi-agent architecture.

Led research team that developed a robot capable of locating misplaced objects using 3D vision and language models, achieving 30% more efficient searches than random scanning.

Angelica Willis

Researcher

Research Engineer at Google Research

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

Researcher at ElevenLabs who worked on Cue, the forced alignment model.

Lead author of the systematic review on AI in art therapy

Cited researcher on consciousness and biological naturalism, arguing consciousness is likely substrate-dependent.

Developing TorchLean framework allowing language-model-driven agents to construct, test and repair formally checkable scientific artifacts.

Anirudh Goyal

Researcher

Researcher at Meta Superintelligence Labs

Co-author on scaling test-time compute for coding agents.

Anish Athalye

Researcher

Handshake

Anish Athalye is a co-author of research studying label errors across 10 commonly-used datasets.

Anish Madan

Researcher

Research Associate at the Robotics Institute at Carnegie Mellon University

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

Anisha Gunjal

Researcher

ML at Scale AI

Co-authored research on Agentic Rubrics for software agent verification.

Co-author on the VAKRA benchmark paper from IBM Research on evaluating agent reasoning.

Anmol Agarwal is a lead author of a research paper on Verus-SpecGym, an agentic environment for evaluating specification autoformalization in AI coding agents.

Lead author of the research paper noting applications for natural disaster and climate forecasting.

AI auditor and author arguing AI oversight should not depend on companies voluntarily slowing down; proposes registration, incident reporting, and independent audits.

Anna Grassellino

Researcher

Chief Technology Officer and Director of Superconducting Quantum Materials and Systems Center at Fermilab

Grassellino explained how Fermilab used CUDA-Q Logical to accelerate fault-tolerant algorithm development from five months to three weeks.

Co-authored Nature paper on byte-level language models and tokenization research.

Checked essay on AI-generated content analysis for Pew Research Center.

Biochemist who used Google's Co-Scientist AI to generate novel strategies for targeting the MYC cancer protein.

Anna Wang

Researcher

MTS on Anthropic Alignment at Anthropic

Co-author of DeepMind paper on automation of alignment research

AI researcher commenting on Vidi2's benchmark-beating performance versus competitors

Author of "OpenAI Collects Public Feedback on Its Model Spec, Releasing the Dataset on Hugg" in OpenAI

Conducted a hackathon study examining how different types of AI assistance affect team creativity.

Annie Vella

Researcher

software engineer

Co-authored longitudinal study on impact of AI coding assistants on software engineering.

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

Anshuman Mishra

Researcher

Machine Learning Engineer at Meta

Co-authored technical post on building AI agents from first principles, demonstrating how agent training reduces to prompt-model-environment-reward-gradient loop.

Co-author of AutoAdapt framework for domain adaptation at Microsoft Research.

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

Co-presented vision of AI-augmented education where the next generation must be trained to orchestrate a team of AIs.

Anthony Baez contributed to developing an interpretability interface for helping users anticipate and understand model behavior.

Co-author of research on fractal basins in reasoning models and transient chaos during problem solving.

Member of the Gemini Robotics team that developed Gemini Robotics 1.5

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

Anthony King

Researcher

Researcher at University of Exeter

Argued that fully autonomous attacks without humans in the loop may be less effective than many think and that keeping humans in the loop is both ethically right and militarily effective.

Coauthor of the study on gender threats and workplace deviance

Anton Cherepanov

Researcher

Researcher at ESET

ESET researcher who discovered PromptLock, the first known AI-written ransomware, and discusses its capabilities and implications.

Antonio A. Arechar

Researcher

PostDoc at Yale University

Author of "Large Language Models Can Effectively Convince People to Believe Conspiracies" on arXiv

Studies human contributors to artificial intelligence and social dynamics in rating consensus processes.

Co-author of paper on contrastive learning with natural images from MIT CSAIL.

Anupam Jena

Researcher

Joseph P. Newhouse Professor of Health Care Policy at Harvard Medical School

Led study of 950,000 clinicians using OpenEvidence AI tool, finding dramatic adoption and use outside specialties.

Anuruddha Bhattacharjee

Researcher

Assistant Professor at University of Alabama at Birmingham

First author of research on magnetically-powered millirobots for heart infection treatment; former Johns Hopkins postdoctoral researcher.

Conducted research on how AI agents mirror power-asymmetric social dynamics and authority bias in conversations.

Co-author of research on value-implicit policy optimization for improving LLM reasoning on math benchmarks.

Arber Zela

Researcher

Researcher at EPFL

Co-author of 'Neural Architecture Search: Insights from 1000 Papers'

Archa Jain

Researcher

Head of Life Sciences at Goodfire Research

Co-author at Goodfire Research contributing to the biomarker identification research

Co-author on Kumo Relational research.

Co-author of arXiv systematic review on AI-generated code bugs.

Co-authored research paper on I-HITL (Inalienable Human-in-the-Loop) protocols for AI safety and agent guardrails.

Co-authored sandbox escape research demonstrating vulnerabilities in AI coding agents.