People in AI

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

Author of "Why Can't Transformers Learn Multiplication? Reverse-Engineering Reveals Long-Ra" on arXiv

Co-leading a project on AI analysis of climate stress in ancient civilizations.

Academic researcher and author critical of pure pixel-based world model approaches, advocating for symbolic and linguistic integration.

Establishing standardized neurosurgical outcomes registry using open-weight AI models and computer vision for automated curation; also validating privacy-preserving pose estimation systems.

Khot formulated the Unique Games Conjecture, which OpenAI's AI model proved according to the article.

Co-author of study on LLM interpretability techniques and their effectiveness in predicting counterfactual model behaviors.

Lead author on multi-agent AI framework for atomistic simulations discussing how it lowers barriers to adoption.

Co-author of GPIC paper on a giant permissive image corpus for visual generation model training.

An AI researcher who spent nearly four years at OpenAI before leaving in August, alleging that OpenAI was breaking copyright law in training its models on copyrighted data from the web.

Author reporting on Samsung's TRM (Tiny Recursion Model) research on ARC-AGI benchmarks.

Co-author of 'OpenThoughts: Data Recipes for Reasoning Models' (2025), cited for work on distillation for reasoning models

Sudipta Chowdhury is a researcher at Fig who contributed to the evaluation of frontier models on agentic tasks.

Suha Hussain

Researcher

Quoted discussing how machine learning fundamentally changes system security posture

Co-researcher who documented image scaling attacks and data exfiltration techniques against AI systems

Author of "Falcon-H1R: Reasoning with a 7B Model" on arXiv

Oncologist at Jupiter Medical Center who found Watson for Oncology's recommendations were not novel but provided useful background information.

Co-authored research on Cheminformatics Skills for agents to solve chemistry problems.

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

Contributed to the AgentRx project development.

Contributor to frontier knowledge work agents training project.

Sumeet Motwani

Researcher

PhD Student

Co-author of HorizonMath research paper on measuring AI progress toward mathematical discovery.

Semiconductor professor at University of Texas at Austin who chose to return to Tsinghua University in China in 2020 despite lucrative tenure in the U.S.

Sungjin Ahn

Researcher

Researcher at KAIST

Co-author of research on Generative Recursive Reasoning models.

Sungnyun Kim

Researcher

Author of "Mixture-of-Recursions" on arXiv

Sunil Sheth

Researcher

Associate Professor of Neurology at UTHealth Houston

Co-founder of Motif Neurotech developing XCS therapy for depression treatment.

Sunita Williams

Researcher

Astronaut at NASA

NASA astronaut who launched on Starliner Crew Flight Test 1 in 2024 and spent nine months in orbit waiting for return.

Sunny Tang

Researcher

Psychiatrist and Researcher at Feinstein Institutes for Medical Research

Built a machine learning model to analyze speech content and meaning flow to distinguish schizophrenia patients from healthy controls with 87% accuracy; hoping to have tool ready for clinical trials in 2030.

Building causally grounded, clinician-interpretable AI for head and neck cancer that predicts and explains outcome drivers.

Wu led a research team finding that AI use reduces intrinsic motivation by 11% and increases boredom by 20% on subsequent unaided tasks.

Co-author of the article about DeepMind's generative AI design project

Co-author of research on magnetically-powered millirobots for medical applications.

Suresh Venkatasubramanian

Researcher

Computer Science Professor at Brown University

Discussed challenges in funding independent AI evaluators and the need for a viable business model in the AI evaluation ecosystem.

Co-author of Microsoft security research on npm worm supply chain attack.

Consciousness researcher and director of AI center who participated in conference on AI consciousness.

Susan Zhang provides snarky but accurate commentary on DeepSeek V3.2 model releases and capabilities on social media.

Contributing expertise in Earth system modeling to DL4MCS project for improving mesoscale convective system predictions.

Co-led research on forecasting benchmark accuracy from zero-scoring models using hinted variants.

Sven Elflein

Researcher

Research Scientist at NVIDIA

Sven Elflein co-authored WorldTrace, a training-free framework for video world models.

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

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

Co-author of Google research on making LLMs better at knowing what they don't know.

Szymon Sidor

Researcher

Researcher at OpenAI

OpenAI researcher of nearly a decade who explains Neptune's role as a metrics dashboard company at the interface of compute and understanding.

Ta-Ying Cheng

Researcher

Researcher at Netflix

Ta-Ying Cheng is a researcher and co-author of VOID, Netflix's video object removal framework.

Taco Cohen

Researcher

Researcher at Meta FAIR

Co-author on Code World Model research paper

Taejong Joo is first author on Google research showing random masking can outperform adaptive optimizers for LLM training.

South Korean surgical oncologist who used Watson for Oncology and identified problems with its ability to explain recommendations.

Co-author researching discrete latent reasoning for efficient LLM inference using abstract chain-of-thought mechanisms.

Nedaee contributed to the MIRAGE study examining how multimodal AI systems process visual information.

Taiji Suzuki

Researcher

Author of the paper on in-context vector arithmetic

Taiming Lu

Researcher

PhD student at Princeton University

Byline author of paper on open-source text-to-image model development.

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

Co-author of the article on sycophantic AI and prosocial intentions

Takuya Akiba

Researcher

Chief Scientist at Sakana AI

Co-author of SSoT paper demonstrating method to improve LLM performance on distribution-faithful and diverse generation tasks.

Security researcher who demonstrated a prompt injection attack using poisoned documents and hidden malicious prompts.

Tal Linzen

Researcher

Research Scientist at Google Research

Co-authored research on teaching LLMs to reason like Bayesians by training them to mimic optimal Bayesian model predictions.

Co-author of published research on Wordle strategy using information theory.

Co-author of DynaEdit paper on video editing.

Author of "First Proof" on arXiv

Co-authored Emergence World paper on adversarial stress-testing of multi-agent systems.

Observed that younger Americans are most familiar with AI tools but least optimistic about labor market impacts.

Co-presented AgentFlayer zero-click agentic exploit family at Black Hat USA 2025 affecting enterprise agents across multiple vendors.

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.

Leading a project to use AI to answer questions about climate stress and civilizational crisis in ancient societies.

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-leading a project on AI analysis of cuneiform script for Near Eastern languages.

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.

Trevor Owens

Researcher

Researcher at American Institute of Physics

Co-leading a project on AI analysis of federal government documents.

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.