USStanfordComputer Science
Jiajun WuAssistant Professor of Computer Science
Studies physical scene understanding and multimodal perception for embodied agents and robots.
- Embodied & active vision
- Recognition, detection & segmentation
- Multimodal & grounded language
- 2026AnyLift: Scaling Motion Reconstruction from Internet Videos via 2D DiffusionCVPR
- 2026ART: Articulated Reconstruction TransformerCVPR
144 T1 · 173 papers · 9 members · 24 alumni USStanfordComputer Science
Leonidas GuibasPaul Pigott Professor of Engineering
Studies 3D geometric data analysis, shape understanding and 3D scene generation.
- 3D vision & neural rendering
- Geometry processing & modeling
- Generative 3D & visual content
- 2026DOT-Sim: Differentiable Optical Tactile Simulation with Precise Real-to-Sim Physical CalibrationICRA
- 2026Dynamic Reflections: Probing Video Representations with Text AlignmentICLR
102 T1 · 114 papers · Group size not listed USStanfordComputer Science
Yejin ChoiDieter Schwarz Foundation Professor of Computer Science, Senior Fellow at the Stanford Institute for Human-Centered AI
Studies large language models, commonsense reasoning and the limits of language model generalization.
- Large language models
- Reasoning & agents
- Learning theory & optimization
- 2026Activation Steering for LLM Alignment via a Unified ODE-Based FrameworkICLR
- 2026BroRL: Scaling Reinforcement Learning via Broadened ExplorationICML
102 T1 · 170 papers · 7 members · 63 alumni USStanfordComputer Science
Chelsea FinnAssistant Professor of Computer Science and of Electrical Engineering
Develops robot learning methods, including meta-learning and vision-language-action policies for manipulation.
- Manipulation & robot learning
- Robot perception & SLAM
- Vision-language & multimodal
- 2026ALOHA Lightning: Learning Fast and Precise ManipulationICRA
- 2026Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and PlanningICLR
98 T1 · 112 papers · Group size not listed USStanfordComputer Science
Stefano ErmonAssociate Professor of Computer Science and Senior Fellow at the Woods Institute for the Environment
Develops probabilistic and generative models such as diffusion models, with applications to sustainability.
- Generative & foundation models
- Probabilistic & causal inference
- Image & video generation
- 2026Adaptive Spectral Feature Forecasting for Diffusion Sampling AccelerationCVPR
- 2026Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular DynamicsICLR
97 T1 · 114 papers · Group size not listed USStanfordComputer Science
Diyi YangAssistant Professor of Computer Science
Studies socially aware natural language processing and human-centered language technologies.
- 2026AutoLibra: Agent Metric Induction from Open-Ended Human FeedbackICLR
- 2026AutoMetrics: Approximate Human Judgments with Automatically Generated EvaluatorsICLR
80 T1 · 124 papers · Group size not listed USStanfordComputer Science
Dorsa SadighAssociate Professor of Computer Science, of Electrical Engineering and Senior Fellow at the Stanford Institute for Human-Centered AI
Studies robot learning and human-robot interaction, including learning from human preferences.
- Manipulation & robot learning
- Human-robot interaction & assistive robots
- 2026Cross-Embodiment Transfer via Behavior-Aligned RepresentationsICRA
- 2026EXPO: Stable Reinforcement Learning with Expressive PoliciesICLR
80 T1 · 86 papers · 13 members · 35 alumni USStanfordDepartment of Biomedical Data Science
James ZouAssociate Professor of Biomedical Data Science
Develops machine learning methods for biomedicine and studies the reliability of AI models.
- Trustworthy & safe ML
- Medical image analysis
- Data management & big data
- 2026A multimodal sleep foundation model for disease prediction.Nature Medicine
- 20254KAgent: Agentic Any Image to 4K Super-Resolution.NeurIPS
74 T1 · 131 papers · 17 members · 25 alumni USStanfordComputer Science
Percy LiangThomas M. Siebel Professor of Machine Learning and Senior Fellow at the Stanford Institute for Human-Centered AI
Studies foundation models and their holistic evaluation, including language model transparency and agents.
- Large language models
- Reasoning & agents
- Generative & foundation models
- 2026Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration TestingICLR
- 2026Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and PlanningICLR
68 T1 · 88 papers · Group size not listed USStanfordComputer Science
Fei-Fei LiSequoia Capital Professor, Senior Fellow at HAI
Studies computer vision and embodied AI, including visual recognition and robot learning benchmarks.
- Embodied & active vision
- Recognition, detection & segmentation
- Manipulation & robot learning
- 2026Cambrian-S: Towards Spatial Supersensing in VideoICLR
- 2026Dream2Flow: Bridging Video Generation and Open-World Manipulation with 3D Object FlowICRA
60 T1 · 69 papers · Group size not listed USStanfordComputer Science
Sanmi KoyejoAssociate Professor of Computer Science
Studies trustworthy machine learning, including evaluation, robustness and fairness of AI models.
- Trustworthy & safe ML
- Interpretability, evaluation & safety of LMs
- 2026AbdCTBench: Learning Clinical Biomarker Representations from Abdominal Surface GeometryICLR
- 2026Distributional Machine Unlearning via Selective Data RemovalICLR
58 T1 · 102 papers · Group size not listed USStanfordComputer Science
Christopher RéProfessor of Computer Science
Leads Hazy Research on efficient foundation model architectures, data-centric AI and ML systems.
- Generative & foundation models
- Accelerators, chips & architecture
- Efficient training & inference
- 2026An Information Theoretic Perspective on Agentic System DesignICLR
- 2026Cartridges: Lightweight and general-purpose long context representations via self-studyICLR
49 T1 · 57 papers · 11 members · 29 alumni USStanfordElectrical Engineering
Develops robot learning and perception for manipulation, including data collection systems for policies.
- Manipulation & robot learning
- Robot perception & SLAM
- 2026DexMachina: Functional Retargeting for Bimanual Dexterous ManipulationICML
- 2026DF-ExpEnse: Diffusion Filtered Exploration for Sample Efficient FinetuningICML
43 T1 · 43 papers · 14 members · 35 alumni USStanfordComputer Science
Studies natural language processing with deep learning, including language understanding and parsing.
- Multilingual, translation & linguistics
- 2026At the boundary: Law and AI.PNAS
- 2026DistillKac: Few-Step Image Generation via Damped Wave EquationsICLR
37 T1 · 57 papers · Group size not listed USStanfordComputer Science
Studies visualization, computer graphics and HCI, including tools that let people steer generative image and video models.
- Rendering & appearance
- Image & video generation
- Visualization & visual analytics
- 2026Captain Cinema: Towards Short Movie GenerationICLR
- 2026CubePart: An Open-Vocabulary Part-Controllable 3D GeneratorSIGGRAPH
33 T1 · 39 papers · Group size not listed USStanfordDepartment of Aeronautics and Astronautics
Mykel J. KochenderferAssociate Professor of Aeronautics and Astronautics, Senior Fellow at the Stanford Institute for Human-Centered AI
Develops decision-making under uncertainty for safety-critical autonomous systems such as aircraft collision avoidance.
- Autonomous vehicles & drones
- Reinforcement learning
- Probabilistic & causal inference
- 2026A new strategy for verifying reach-avoid specifications in neural feedback systemsAAAI
- 2026A semi-decentralized approach to multiagent controlAAMAS
33 T1 · 132 papers · 23 members · 173 alumni USStanfordDepartment of Linguistics
Studies computational semantics and pragmatics, and interpretability of language models.
- Multilingual, translation & linguistics
- Large language models
- Trustworthy & safe ML
- 2026Addressing divergent representations from causal interventions on neural networksICLR
- 2026Fast Byte Latent TransformerICML
25 T1 · 71 papers · 11 members · 48 alumni USStanfordComputer Science
Anshul KundajeAssociate Professor of Genetics and of Computer Science
Develops deep learning models of gene regulation from functional genomics data.
- Genomics & computational biology
- 2026An encyclopedia of human enhancer-gene regulatory interactions.Nature
- 2026An expanded registry of candidate cis-regulatory elements.Nature
24 T1 · 84 papers · Group size not listed USStanfordComputer Science
Noah GoodmanProfessor of Psychology and of Computer Science
Studies the computational basis of human and machine intelligence, including probabilistic programming and language model reasoning.
- Large language models
- Reasoning & agents
- Probabilistic & causal inference
- 2025Automated Discovery of Tactic Libraries for Interactive Theorem ProvingPACMPL
- 2025Causal abstraction: A theoretical foundation for mechanistic interpretabilityJMLR
24 T1 · 60 papers · 7 members · 24 alumni USStanfordComputer Science
Dan JurafskyReynolds Professor in Humanities, Professor of Linguistics, Professor of Computer Science Stanford University
Studies natural language processing and computational social science, including language in society.
- Language & society
- Computational social science
- 2025"The ML-SUPERB 2.0 challenge: Towards inclusive ASR benchmarking for all language varieties."Interspeech
- 2025Advancing science-and evidence-based AI policy.Science
23 T1 · 59 papers · 8 members · 108 alumni