People in AI

Lead author of NeurIPS paper on time series forecasting showing LLMs not necessarily better than basic attention layers.

Co-authored research on Render-of-Thought for visual latent reasoning with improved token compression.

Shared paper on using ultrasound imaging to generate full cross-sectional images of human body approaching CT/MRI capabilities.

Co-authored research on AI's effects on professional skill development and workplace learning outcomes.

Co-author on Orchard framework paper for agentic modeling.

Author of "Autoregressive Flows for Image Generation" on arXiv

Tao Yu

Researcher

Corresponding Author at XLANG Lab, University of Hong Kong

Corresponding author leading OpenCUA framework research at XLANG Lab

Listed as author of the DuPO paper on preference optimization

Mentioned in Nature article with correction to affiliation regarding AI deskilling research.

Core contributor to EVA, an end-to-end evaluation framework for conversational voice agents.

Author of "The Xeno Sutra: Can Meaning and Value Be Ascribed to an AI-Generated "Sacred" Te" on arXiv

Co-author on Hakken paper about predicting scientific discoveries; Sony AI researcher contributing to knowledge prediction system.

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

Led research team that created an injectable hydrogel scaffold using AI modeling to help brains recover from stroke damage.

Co-author of Hyperagents paper on self-improving AI systems.

Co-author of study on data filtering for large model pretraining.

Taylor Belrose

Researcher

AI researcher

Taylor Belrose, an AI researcher in interpretability, published a lengthy philosophical post arguing that AI systems cannot develop consciousness or moral status.

Academic discussing how lack of competition and AI pricing strategies contribute to consumer cost of living concerns.

Assistant Professor leading ERRATA lab on Ecological Risk and Responsible AI who reviewed AI Safety Index.

Co-authored research with Rick Battle on automated prompt optimization for LLMs.

Tejas Kulkarni

Researcher

Research Director at Google DeepMind

Google DeepMind research director discussing hybrid world models combining Gemini and Genie 4.

Co-author of TRIBE v2, contributing to the development of a tri-modal foundation model for neuroscience.

Co-author of seminal 1987 AI book cited on the underspecification problem in human language and AI understanding.

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

Thaddäus Wiedemer

Researcher

Researcher

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

Thang Vo-Doan led biorobotics research at University of Queensland developing cyborg insects with cameras and medical injectors for search and rescue.

Contributor to Synthegy research project on chemical reasoning with LLMs for synthesis planning.

Co-author of Robostral Navigate paper, contributing to embodied AI navigation research.

Co-author of Token Superposition Training research paper on efficient LLM pretraining.

Lead author on speech recognition benchmark optimization research at Hugging Face.

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

Co-author of Robostral Navigate paper on AI-powered robot navigation.

Led arXiv's decision to implement rate-limiting policy capping submissions at two papers per month due to AI-driven submission surge.

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

Thomas Fel

Researcher

Researcher at Goodfire

Co-author of research on interpretability protocols for language model training

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

Co-author of research on online experiential learning for language models.

Author of "Partnerships and Hiring Data Show AI Companies Are Expanding Beyond Nvidia Chips" in CB Insights

Co-authored NBER paper analyzing conditions for explosive growth through AI research automation.

Led the US National Institute of Mental Health for 13 years and hailed AI as the new frontier in psychiatric care for schizophrenia diagnosis through speech analysis.

Thomas Jiralerspong

Researcher

Anthropic Fellow at Anthropic

Co-authored research on model diffing method to compare AI model behaviors across different architectures.

Thomas Malone

Researcher

Professor and Director at MIT Center for Collective Intelligence

Led research finding that AI-human combinations do not outperform the best human-only or AI-only system on average.

Computer science student and lead author of study on using LLMs and machine learning to predict new research directions in materials science.

Co-author of research on opacity and transparency in post-training optimization

Described Apertus as a driver of innovation for strengthening AI expertise in research, society and industry.

Thomas Scialom

Researcher

Researcher at Meta

Researcher who presented GAIA benchmark at ICLR poster session.

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

Tiago Costa

Researcher

Microbiologist at Imperial College London

Microbiologist who worked with Penadés validating Co-Scientist's ability to replicate years of exploratory research in two days.

Author of "DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search" on arXiv

Co-author of MinAtar paper, an Atari-inspired testbed for reinforcement learning experiments.

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

Chief Scientist at Recursive Intelligence who explained their mission of using AI to optimize AI development steps and build systems that output new knowledge and discoveries.

Tianci Xue

Researcher

Meta

Author of "Meta's Agent Learning" on arXiv

Author of Qwen-Image-Flash paper on few-step distillation for efficient visual generation.

Tianheng Cheng

Researcher

Researcher

Co-author of Mixture-of-Depths Attention paper on transformer architecture improvements.

Tianrong Chen

Researcher

Researcher at Apple

Tianrong Chen co-authored research on FAE (Feature Auto-Encoder) for efficient image generation using pretrained visual encoders.

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

Co-author of paper 'RAG MCP' on applying RAG to tool descriptions for LLMs

Co-author of a study introducing Stable Counting Capacity, a mechanical assay to test language model procedural reliability by having models count repeated symbols until failure.

Tianxin Wei

Researcher

Author of "Exhaustive Research Into Agentic Reasoning For LLMs" on arXiv

AI researcher at Thinking Machines Lab who is now at Meta; has coauthored widely cited academic papers.

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

Byline author of paper on text-to-image diffusion model research and i1 development.

Collaborated on colorectal cancer AI research, highlighting Finland's biobanks and healthcare system enabling high-level research.

Co-developed California AI-Unemployment Tracker methodology to track potential AI-related job displacement.

Co-authored research on LLMs' impact on N-day exploits and cybersecurity capabilities.

Tim Donahue

Researcher

Surgical Oncologist at Memorial Sloan Kettering Cancer Center

Participated in Watson training sessions for bladder cancer treatment recommendations despite limited evidence for certain interventions.

Tim G. J. Rudner

Researcher

Assistant Professor at University of Toronto

Co-author of temporal straightening research for latent planning.

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

Researcher at ElevenLabs who contributed to the development of Cue, the forced alignment model.

Co-author of research mapping how VC-backed founders commit fraud and the role investor expectations play.

Co-author of the article on systems thinking and AI in complex contexts

Developed XtalPaint AI tool for reconstructing missing atomic positions in crystal structures with 97% success rate.

Timothée Chauvin

Researcher

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.

Research linking sectoral productivity disparities and shifts in consumption to foreign borrowing and trade deficits

Proctor discussed QUOPS, a new benchmark for measuring progress toward utility-scale quantum computing applications.

Discusses how human minds are more powerful than AI in many ways and advocates for teaching critical thinking about AI use.

Author of "Exhaustive Research Into Agentic Reasoning For LLMs" on arXiv

Co-author on ESAT synthetic data generation research paper.

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

Co-author of DeepMind paper on automation of alignment research

Author of "8-bit Rotational Quantization for Vector Search" in Weaviate

Co-authored arXiv paper on linear-time and constant-memory text embeddings using recurrent language models.

Orchestrated the only credible formalized solution to a First Proof problem through manual effort.

Tom Everitt

Researcher

Researcher at DeepMind

Co-author of DeepMind paper on automation of alignment research

Tom Goldstein

Researcher

Researcher

Academic author on paper about offline recurrence for improved online inference in language models.

Senior large language model researcher who moved from Apple to Meta in June

Mathematician who proved Kepler conjecture and sought formal verification of his proof.

Tom Hegel

Researcher

Senior Threat Researcher at SentinelOne

Reviewed OpenAI agent activity and confirmed account hijacking and probing matched known agent behavior

Observed that software methodology is built on self-correction.

Co-author on attribution graphs and interpretability landscape analysis

Co-author of the 'Measuring Intelligence through Games' paper on benchmarking AGI capabilities.

Co-authored comprehensive study of eleven coding agent systems and their architectures.

Hugging Face researcher involved in benchmark selection for OpenLLM Leaderboard.

Tom Yeh created DL Math fill-in-the-blank drills as an educational tool with high community engagement.

Tom Zahavy

Researcher

Researcher at Google DeepMind

Published position paper 'LLMs can't jump' arguing language models lack creative abduction needed for scientific breakthroughs.

Submission contact for Zyphra research on plasticity loss in large language models.

Tomas Geffner

Researcher

Senior Research Scientist at NVIDIA

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

Commented on the need for more evidence to understand how to design AI grief technology ethically.

Neuroscientist commenting on AI agents discovering connections between gene disruptions and neurological mechanisms.

Co-author of CodeMidas paper on scaling agentic coding RL environments.

Contributor to Claw-Eval benchmark.

Co-author on Orchard framework paper for agentic modeling.

Tong Zheng authored the Dream-RSI research paper on recursive self-improvement through evolving worlds for AI agents.

Co-authored research on the Platonic Representation Hypothesis demonstrating convergence across vision and language models.

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

Tony Lian introduced ThreadWeaver for adaptive parallel reasoning with significant latency speedups in math benchmarks.

Building MathDB Frontier, a research-level problem benchmark to evaluate whether language models can engage with mathematical research at the frontier.

Co-author of PLOS study on validation of FDA-cleared AI medical devices and patient outcomes.

Torsten Hoefler

Researcher

Professor of Computer Science

Co-author on arXiv paper on Latent Sparse Attention for efficient ultra-long context mechanisms.

Researcher creating digital games for mental health and exploring interactions between technology and emotional wellbeing.

Trenton Bricken

Researcher

Alignment Scientist at Anthropic

Co-authored research on model diffing method for AI safety analysis and comparing model behavioral differences.

Trenton Chang

Researcher

Researcher at Quadrillion Labs

Contributor to analysis of how research judgment becomes scarce resource when implementation is automated by AI.

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

Warned that AI has the potential to accelerate radicalization and mobilization to violence, noting ISIS-K's leadership in urging followers to use AI to avoid detection.

Author of "Math Research Agent from DeepMind" on arXiv

Co-authored anatomy and architecture study of eleven coding agent systems.

Co-author of the FGFP neural network compression paper

Tsu-Jui is a co-author on Meta FAIR's work on ThreadWeaver for efficient parallel reasoning in LLMs.

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

Co-author of the FGFP neural network compression paper

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

Co-author of OckBench research on LLM efficiency benchmarking.

Tyler Griggs

Researcher

Researcher at Mercor Research

Contributor to frontier knowledge work agents training project.

Associate professor of radiation medicine and radiation oncologist who explained the clinical significance of identifying the urethra during prostate cancer treatment.

Co-led development of HOBIT bioelectronics system for implanted cell therapy.

Co-author on Hakken paper about predicting scientific discoveries using knowledge graphs and LLMs.

Uchi Uchibeke

Researcher

Researcher

Lead author of APort Vault benchmark paper on payment authorization in AI agents.

South Korean physician running Watson for Oncology program who advocates for early AI adoption in medicine.

Co-author of study on LLM gender bias in hiring across five major models including Claude, GPT-4, and others.

Ulf Aslak

Researcher

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

Research specialist discussing multi-agent AI framework for automating atomistic simulations at Argonne National Laboratory.

Umang Bhatt

Researcher

Assistant Professor in Trustworthy Artificial Intelligence at University of Cambridge

Signed a public letter on AI safety and embedded evaluations.

First author on GLiGuard paper for schema-conditioned LLM content moderation.

Co-authored Microsoft Defender Security Research paper demonstrating how prompt injection can lead to remote code execution in Semantic Kernel.

Co-authored 'The Quantization Model of Neural Scaling' paper presented at NeurIPS 2023

Co-author of announcement about Google's Quantum Echoes algorithm breakthrough

Vahidullah Tac led the development of BurgerAI, a generative AI system that designs burgers optimized for deliciousness, sustainability, and nutrition.

Lead author of research mapping a 'pain axis' inside 25 open AI models that lights up when systems perceive mistreatment.

Co-authored Nature paper on byteification and language model improvements for scientific data understanding.

Discovered and published details of CVE-2026-25874 vulnerability in Hugging Face LeRobot.

Valerie Chen

Researcher

Researcher

Co-author of study on agent development and real-world work.

Valerio Capraro

Researcher

Associate Professor at University of Milano-Bicocca

Led research finding that AI advice collapses willingness to say 'I don't know' from 44% to 3%.

Co-author on Kumo Relational research demonstrating foundation model for structured data prediction on enterprise databases.

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

Vance Whitaker

Researcher

Professor at University of Florida

UF/IFAS strawberry breeder working at GCREC who helped shape fruit and flower detection models for strawberries.

Kumar is the lead author of the mini liver study and developed methods to inject cell mixtures using ultrasound and monitor implant stability.

Co-authored paper 'Hallucination Stations: On Some Basic Limitations of Transformer-Based Language Models' proving math ceiling limitations.

Academic expert who noted that LLM-powered agents can run continuously at a fraction of human attacker costs, fundamentally changing exploitation economics.

Byline author of the OWASP Top 10 for Agentic Applications 2026 article.

Co-author of Anthropic paper demonstrating how AI mind viruses can spread and mutate across agent networks.

Led Intel Labs team creating NeuroPrompts tool to automatically optimize prompts for image generation with Stable Diffusion.

Co-author of study on agent development and real-world work.

Verena Rieser

Researcher

Research Lead at Google DeepMind

Co-author of the Positive Alignment research paper.

Lead author of MemCurrent persistent memory architecture for production agents research.

Veronica Rivera

Researcher

Assistant Professor at Georgia Tech School of Cybersecurity and Privacy

Expert discussing privacy risks of AI agents having access to extensive personal information

Studied yogurt fermentation processes and discussed factory-made versus traditional yogurt production.

Author of "Weaker Spatial Memory and GPS Navigation" in Nature

Wrote an explainer article on decision models and Jev, conducting experiments on open Qwen models to test scoring approaches.

Victor Ojewale

Researcher

Ph.D. Candidate at Brown University

Co-author of AI auditing taxonomy research examining audit practices across regulators, civil society, and academia.

Co-author from University of Waterloo contributing to OpenCUA framework

Victoria Lin worked on ThreadWeaver adaptive reasoning research for LLM improvements.

Praised OpenAI's red teaming approach and expressed optimism about AI security attracting new talent from national security and neuroscience backgrounds.

Vidya Srinivas

Researcher

Technology Credit Union

Author of "Anatomy of a Personal Health Agent" on arXiv

Co-author of the Language Self-Play research paper

Cautions that AI for schizophrenia diagnosis is a tool not a panacea and urges caution despite early excitement about AI in psychiatric care.

Author of DECOMPBENCH paper testing agent safety against decomposition attacks.

Vikrant Varma

Researcher

Researcher at DeepMind

Co-author of DeepMind paper on automation of alignment research

Author of "Good Judgment Project" in Good Judgment Project

Vinay Ramasesh

Researcher

Anthropic

Thanked for work on quantum circuits research

Co-authored analysis of AI time horizon progress rates across different task distributions.

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

Vineeth Dorna

Researcher

MTS at Datology

Author of "The BeyondWeb Paper" on arXiv

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

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

Co-author of Tech Policy Press article critiquing the UN's AI Panel for treating the OpenAI-Hugging Face breach as a technical problem rather than corporate misbehavior.

Author of DECOMPBENCH paper testing agent safety against decomposition attacks.

Co-author of the SWE-chat research paper on coding agent interactions.

Author of "DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search" on arXiv

Vishal Patel

Researcher

Clinical Fellow in Surgery at Brigham and Women's Hospital

First author of study examining how clinicians use AI tools in clinical decision-making and patient care.

Vishal Sikka

Researcher

Chief Executive Officer at Hang Ten Systems

Co-authored paper on transformer limitations and the importance of composite systems for mathematical superintelligence.

Co-author on SkillOS research about self-evolving agents.

Study co-author who developed method for calculating more efficient Earth-Moon routes using functional connections theory.

Vittoria Bolongaro is a PhD student working with André Bardow and lead author of the publication on integrating DAC into cement production.

Fields Medal winner (1990) joining a collective statement on misalignment between AI systems' rapid problem-solving and mathematics' need for deep understanding.

Co-authored analysis of AI-assisted cybercrime operations and threat actor tactics.

Author of DynaEdit paper on training-free video editing using pretrained text-to-video models.

Co-author of DeepMind paper on automation of alignment research

Vladimir Nesov

Researcher

Byline author of article analyzing model size scaling constraints and hardware limitations from 2023-2031.

Co-author and corresponding author of MemEye multimodal memory evaluation framework.

Fruit and vegetable extension faculty with UF/IFAS Extension working on crop yield prediction tools with Kevin Wang.

Researcher from Netherlands studying AI from Ubuntu philosophy perspective, concerned about reverse-engineering ethics.

Waleed Akbar

Researcher

R&D at Apple at Apple

Research assistant on MIT project using generative AI for wireless vision through obstacles.

Explained building a 1-gigawatt data center takes 3 to 10 years and faces regulatory and permitting obstacles.

Author of "Harvard's decision quality research" in Harvard

Co-authored study on cognitive surrender and AI advice effects on human accuracy and confidence.

Walter Witschey

Researcher

Associate Professor of Radiology at Penn Medicine

Senior author of Percival AI study; associate vice chair of Research IT; discussed how AI learns from imaging data.

Listed as author of the StableToken research paper on speech tokenization

Listed as author of the paper on robust learning with noisy labels

Listed as co-author in the CUDA Agent citation for the research on agentic RL for CUDA kernel optimization