CN ZhejiangZJU-UIUC Institute Feb 28
Works on multimodal medical data processing, multimodal large models and bioinformatics, including medical image analysis.
2026 Act as you think: Reinforcing Consistent Reasoning in Medical Visual Question Answering ACL 2026 AtomiMed: Hierarchical Atomic Fact-Checking for Universal Clinical-Aware Medical Report Evaluation MICCAI 57 T196 papersGroup size not listed GB CambridgeComputer Science and Technology Dec 8
Pietro Liò Professor of Computational Biology Develops AI and computational biology models, currently graph neural networks, to understand disease complexity for personalised and precision medicine.
2026 Autohformer: Efficient Hierarchical Autoregressive Transformer for Time Series Prediction ICDE 2026 Fast and Interpretable Protein Substructure Alignment via Optimal Transport ICLR 47 T1167 papersGroup size not listed · 43 alumniUS StanfordComputer Science Dec 8
Anshul Kundaje Associate Professor of Genetics and of Computer Science Develops deep learning models of gene regulation from functional genomics data.
2026 An encyclopedia of human enhancer-gene regulatory interactions. Nature 2026 An expanded registry of candidate cis-regulatory elements. Nature 24 T184 papersGroup size not listed CN SJTUSchool of Computer Science May 31
Shikui Tu Tenured Associate Professor Works on machine learning and its applications in bioinformatics and drug discovery.
2026 Beyond Instance-Level Alignment: Dual-Level Optimal Transport for Audio-Text Retrieval ICLR 2026 Factored Causal Representation Learning for Robust Reward Modeling in RLHF ICML 20 T152 papersGroup size not listed HK CUHKDepartment of Computer Science and Engineering Dec 1
Develops AI methods for physics, chemistry, materials science and biology, such as molecular representation learning.
2026 BioSafetyBench: Agentic Cascade Evaluation for the Bio-AI Ecosystem NeurIPS 2026 InertialAR: Autoregressive 3D Molecule Generation with Inertial Frames ICML 19 T133 papers1 memberCH EPFLSchool of Computer and Communication Sciences (IC) Dec 1
Maria Brbic Tenure Track Assistant Professor Develops machine learning methods for biomedicine, such as models that discover new cell types and generalize across single-cell datasets.
2026 HeurekaBench: A Benchmarking Framework for AI Co-scientist ICLR 2026 MARBLE: A Hard Benchmark for Multimodal Spatial Reasoning and Planning NeurIPS 18 T121 papers12 members18 alumniUS MITElectrical Engineering and Computer Science Dec 1
Polina Golland Sunlin (1966) and Priscilla Chou Professor Develops statistical methods for biomedical image analysis, including shape modeling and characterizing biological processes from images.
2026 Equivariant Symmetry-Aware Head Pose Estimation for Fetal MRI ECCV 2025 Calibrating Expressions of Certainty ICLR 15 T131 papers5 members31 alumniCH ETH ZurichComputer Science (D-INFK)
Leads the Biomedical Informatics group, developing machine learning methods for clinical time series, electronic health records and cancer genomics.
2026 A tumor profiling resource for ovarian cancer: insights into chemotherapy-driven heterogeneity and personalized treatment strategy Nature Communications 2026 An end-to-end computational framework for “Record- seq” transcriptional recording data Bioinformatics 14 T155 papers8 members40 alumniUS MITElectrical Engineering and Computer Science Dec 1
Studies the mechanistic basis of human disease with computational and experimental genomics, including epigenomic annotation and gene-regulatory circuitry.
2024 A Polygenic Score Method Boosted by Non-additive Models Nature Communications 2024 Leveraging single-cell ATAC-seq and RNA-seq to identify disease-critical fetal and adult brain cell types Nature Communications 13 T128 papers8 members159 alumniCA TorontoElectrical and Computer Engineering Dec 1
Develops machine learning algorithms for genome biology, such as models of RNA splicing.
2026 An X-linked long non-coding RNA, PTCHD1-AS, and the core features of autism Nature 2026 Orthrus: toward evolutionary and functional RNA foundation models Nature Methods 11 T117 papers7 members30 alumniCN SJTUSchool of Artificial Intelligence May 31
Works on AI for life sciences, including virtual cell modeling, target discovery and drug development.
2026 An Agentic System for Rare Disease Diagnosis with Traceable Reasoning Nature 2026 3DReasonKnee: Advancing Grounded Reasoning in Medical Vision Language Models PSB 11 T132 papersGroup size not listed US UIUCSiebel School of Computing and Data Science Dec 1
Ge Liu Assistant Professor Develops machine learning methods for biology, including generative models for protein and molecule design.
2026 h-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network ICLR 2026 Incentivizing Consistent, Effective and Scalable Reasoning Capability in Audio LLMs via Reasoning Process Rewards ICLR 10 T116 papersGroup size not listed CH ETH ZurichDepartment of Biosystems Science and Engineering
Leads the Computational Biology Group, developing probabilistic models and machine learning for tumour evolution, single-cell sequencing and viral genomics.
2026 A tumor profiling resource for ovarian cancer: insights into chemotherapy-driven heterogeneity and personalized treatment strategy Nature Communications 2026 Ovarian cancer metastasis to the human omentum disrupts organ homeostasis and induces fundamental tissue reprogramming Nature Communications 10 T159 papers9 members88 alumniCA TorontoComputer Science Dec 1
Yang Xu Associate Professor Studies semantic change, lexical evolution and cross-linguistic semantic typology.
2026 Discovering regularity and mechanisms of word sense acquisition in childhood PNAS 2026 Historical reconstruction of human moralization with word association and text corpora Nature Communications 10 T127 papers4 members10 alumniCA TorontoComputer Science Dec 1
Bo Wang Associate Professor Develops machine learning for computational biology and medicine, including single-cell foundation models.
2025 BioReason: Incentivizing Multimodal Biological Reasoning within a DNA-LLM Model NeurIPS 2025 Exploring the Design Space of 3D MLLMs for CT Report Generation MICCAI 8 T123 papersGroup size not listed US UWPaul G. Allen School of Computer Science & Engineering Dec 15
Develops explainable AI methods for biomedicine, including feature attribution for clinical and genomic models.
2026 A deep generative model of single-cell methylomic data Nature Machine Intelligence 2026 Ensembling Sparse Autoencoders Accepted to ICML 8 T124 papers8 members8 alumniCN TsinghuaDepartment of Computer Science and Technology Feb 28
Works on efficient algorithms and AI for genomic, transcriptomic, and proteomic data analysis and disease diagnosis.
2026 RareAgents: Autonomous Multi-disciplinary Team for Rare Disease Diagnosis and Treatment AAAI 2025 CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction AAAI 8 T127 papers10 members43 alumniUS UC BerkeleyElectrical Engineering and Computer Sciences Dec 1
Develops AI and statistical methods for genomics and population genetics.
2026 Predicting genome-wide functional constraints with GPN-Star Nature 2026 Replaying germinal center evolution on a quantified affinity landscape Cell 8 T136 papers10 members46 alumniUS Georgia TechSchool of Computational Science and Engineering Dec 15
Yunan Luo Assistant Professor Develops machine learning methods for computational biology and protein engineering.
2026 Deconvolving mutation effects on protein stability and function with disentangled protein language models RECOMB 2026 Evolutionary profile enhancement improves protein function annotation RECOMB 8 T121 papers7 members2 alumniSG NTUCollege of Computing and Data Science
Works on computational intelligence, including evolutionary and transfer optimization, Bayesian optimization and statistical machine learning.
2024 Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation ICML 2024 Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR- ), June 17-21, , Seattle, USA 7 T122 papersGroup size not listed