GB UCLGatsby Computational Neuroscience Unit
Arthur Gretton Professor of Machine Learning Develops kernel methods for machine learning, including two-sample tests, dependence measures and causal inference.
2026 Learn to Guide Your Diffusion Model ICLR 2025 (De)-regularized Maximum Mean Discrepancy Gradient Flow JMLR 34 T136 papers4 members22 alumniGB UCLGatsby Computational Neuroscience Unit
Andrew Saxe Professor of Theoretical Neuroscience and Machine Learning Develops the theory of deep learning to analyse learning dynamics in artificial networks and in the brain.
2026 Comparing the learning dynamics of in-context learning and fine-tuning in language models ICLR 2026 Compositionality and systematicity emerge from iterated learning in deep linear networks PNAS 23 T134 papers9 members10 alumniUS Georgia TechSchool of Computational Science and Engineering Dec 15
Anqi Wu Edenfield Early-Career Assistant Professor Develops probabilistic latent variable models for neural and behavioral data in computational neuroscience.
2026 A Disentangled Low-Rank RNN Framework for Uncovering Neural Connectivity and Dynamics ICML 2026 A Hitchhiker's Guide to Poisson Gradient Estimation ICML 19 T121 papers6 members13 alumniCN TsinghuaDepartment of Computer Science and Technology Feb 28
Works on deep neural networks and reinforcement learning, computational neuroscience, autonomous driving, and mobile robots.
2026 Beyond Language: Grounding Referring Expressions with Hand Pointing in Egocentric Vision ECCV 2026 From Sparse to Dense: Spatio-Temporal Fusion for Multi-View 3D Human Pose Estimation with DenseWarper ICLR 17 T127 papersGroup size not listed US UCLAElectrical and Computer Engineering Dec 15
Builds brain-computer interfaces, AI copilots and robot learning systems, and uses deep learning to study cortical computation.
2026 DiSCo: Diffusion Sequence Copilots for Shared Autonomy HRI 2026 Flow Control: Steering Vision–Language–Action Models with Simple Real-Time Inputs CoRL 16 T123 papers12 members30 alumniUS UWElectrical and Computer Engineering Dec 15
Eli Shlizerman Professor of Applied Mathematics and Electrical & Computer Engineering; Washington Research Foundation Professor for Data-intensive Discovery Develops neuro-inspired deep learning and models of neural circuits, linking machine learning and neuroscience.
2026 2ndMatch: Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching CVPR 2026 EgoMAN: Interaction-Structured Reasoning for Egocentric 3D Hand Trajectory Prediction ECCV 14 T125 papers5 members26 alumniGB UCLGatsby Computational Neuroscience Unit
Maneesh Sahani Professor of Theoretical Neuroscience and Machine Learning Develops probabilistic machine learning and data-driven methods to understand how neural populations represent and compute with sensory information.
2026 Dexterous skill discovery via topology-aware Wasserstein dependency NeurIPS 2026 Identifying latent neural dynamics with recognition-parameterized Gaussian process dynamical systems NeurIPS 14 T120 papers8 membersSG NTUCollege of Computing and Data Science
Mengmi Zhang Nanyang Assistant Professor Studies the intersection of AI and computational neuroscience, including visual attention, contextual reasoning and continual learning.
2026 Learning to See Through a Baby's Eyes: Early Visual Diets Enable Robust Visual Intelligence in Humans and Machines CVPR 2026 Peering into the Unknown: Active View Selection with Neural Uncertainty Maps for 3D Reconstruction ICLR 14 T122 papers13 membersCN ZhejiangCollege of Computer Science and Technology Feb 28
Studies computational neuroscience, brain network dynamics and neuroimaging analysis, and links them to brain-inspired machine learning.
2026 Dynamic-Static Decomposition for Novel View Synthesis of Dynamic Scenes with Spiking Neurons CVPR 2026 eRetinexGS: Retinex Modeling for Low-Light Scene Enhancement via Event Streams and 3D Gaussian Splatting CVPR 14 T117 papersGroup size not listed CN ZhejiangCollege of Computer Science and Technology Feb 28
Develops neural decoding methods for brain-computer interfaces, including motor decoding from neural signals.
2026 A Cyclic Adaptation-Generalization Framework with Uncertainty-Guided Self-Paced Learning for Long-Term Brain-Machine Interfaces ICRA 2026 From Synthesis to Clinical Assistance: A Strategy-Aware Agent Framework for Autism Intervention based on Real Clinical Dataset ACL 14 T144 papersGroup size not listed CH EPFLBrain Mind Institute (School of Life Sciences SV) Dec 1
Leads a group combining computational neuroscience and machine learning to model animal behaviour, including markerless pose estimation (DeepLabCut) and motor…
2026 KINESIS: Motion Imitation for Human Musculoskeletal Locomotion ICRA 2026 LLaVAction: evaluating and training multi-modal large language models for action understanding ICLR 13 T113 papers10 members5 alumniUS UCSDHalıcıoğlu Data Science Institute Dec 15
Develops graph-based and manifold learning methods for high-dimensional data, with applications to neuroscience imaging.
2026 ALIGN: Adversarial Learning for Generalizable Speech Neuroprosthesis UAI 2026 Compositional decoding of neural activity enhances generalization in handwriting BCIs Accepted to IEEE EMBC 13 T146 papers4 members20 alumniCN ZhejiangCollege of Computer Science and Technology Feb 28
Studies ubiquitous computing and EEG-based brain-computer interfaces, including emotion recognition and human behavior analysis from mobile data.
2026 EEG Agent: A Unified Framework for Automated EEG Analysis Using Large Language Models AAAI 2026 EMOD: A Unified EEG Emotion Representation Framework Leveraging V-A Guided Contrastive Learning AAAI 9 T120 papersGroup size not listed CN PekingSchool of Computer Science Jan 15
Researches computational neuroscience and brain-inspired computing.
2025 Unfolding the Black Box of Recurrent Neural Networks for Path Integration NeurIPS 2025 Vector Quantization in the Brain: Grid-like Codes in World Models NeurIPS 9 T112 papersGroup size not listed CN SJTUSchool of Computer Science May 31
Directs the Center for Brain-like Computing and Machine Intelligence, working on affective brain-computer interfaces and EEG-based emotion recognition.
2026 A Multimodal EEG-Eye Movement Model for Automatic Depression Detection AAAI : 2218-2226 2026 Gram: A Large General EEG Model for Raw Data Classification and Restoration IEEE Trans. Affect. Comput. 17(1): 841-855 8 T171 papersGroup size not listed US Georgia TechElectrical and Computer Engineering Dec 15
Leads the SIP Lab on data science and machine learning for neuroscience and therapeutic neurotechnology.
2025 Affective bias predicts changes in depression during deep brain stimulation therapy Frontiers In Human Neuroscience 2025 Brain Biomarkers for Pain Sensitivity JAMA Neurology 8 T126 papers7 members21 alumniSG NUSDepartment of Electrical and Computer Engineering Dec 15
Develops computer vision and deep learning methods for neuroimaging and brain network analysis in ageing and neurodegeneration.
2026 BrainFIBRE: A Foundation Model via Information Decomposition for Brain Microstructure ECCV 2026 Standardized evaluation of automatic methods for perivascular spaces segmentation in MRI - MICCAI 2024 challenge results Medical Image Anal. 8 T113 papersGroup size not listed GB UCLGatsby Computational Neuroscience Unit
Peter Orbanz Professor of Machine Learning Researches symmetry and exchangeability in machine learning, including the mathematical statistics of learning methods and random graphs.
2026 A Single Architecture for Representing Invariance Under Any Space Group ICLR 2026 Debiased Counterfactual Generation via Flow Matching from Observations NeurIPS 8 T18 papers3 members6 alumniCN SJTUSchool of Computer Science May 31
Weilong Zheng Tenured Track Associate Professor Works on brain cognition and affective computing with EEG and brain-computer interfaces.
2024 CEMOAE: A Dynamic Autoencoder with Masked Channel Modeling for Robust EEG-Based Emotion Recognition ICASSP 2024 Code Repair with LLMs gives an Exploration-Exploitation Tradeoff NeurIPS 8 T138 papersGroup size not listed GB ImperialDepartment of Computing Dec 1
Aldo Faisal Professor of AI & Neuroscience Leads the Brain and Behaviour Lab, using statistical machine learning to model human behaviour and build neurotechnology and AI for healthcare.
2025 An EEG Conformer Model for Error Feedback During Human-Robot Interaction ICRA 2025 Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning AISTATS 7 T121 papers15 members16 alumni