Ritambhara Singh
Associate Professor
Develops machine learning methods for genomics, including integrating multi-omics data to reveal gene regulation in disease.
Ritambhara Singh's lab at UIUC works on genomics & computational biology, medical imaging & healthcare AI and data management & big data. 32 papers since 2023, 2 at top venues, mostly AAAI and Cell. 7 PhD students and 4 master's students. 54 alumni, most often to Google and Microsoft. Applications close .
At a glance
- papers, 2023–2026
- 8/ year
- at T1 venues
- 6%
- PhD students
- 7
- MS students
- 4
- alumni listed
- 54
Papers by yearfrom the lab homepage, 2023–2026
- 4 papers2026 · T1 0 · collecting
- 12 papers2025 · T1 0
- 9 papers2024 · T1 1
- 7 papers2023 · T1 1
T1 venuesOtherVenues: AAAI, Cell
Research focuspaper titles that use each topic's words
- Data management & big data5 papers
- Genomics & computational biology4 papers
- Medical imaging & healthcare AI0 papers
- integrating0 papers
- gene regulation0 papers
Paper list
From the lab homepage.
20264 papers
- Intelligent Systems in Molecular Biology (ISMB)Diffusion-based Representation Integration for Foundation Models Improves Spatial Transcriptomics Analysis
- Artificial Intelligence in MedicineIdentifying and timing patient outcomes in clinician notes using large language models
- Association for Computational Linguistics (ACL) Main ConferenceMechanisms of Prompt-Induced Hallucination in Vision-Language Models
- Bioinformatics AdvancesSCOT+: A Comprehensive Software Suite for Single-Cell alignment Using Optimal Transport
202512 papers
- Communications MedicineA deep learning model to predict glioma recurrence using integrated genomic and clinical data
- Special Issue of Journal of Statistical Theory and ApplicationsBetaExplainer: A Probabilistic Method to Explain Graph Neural Networks
- Association for Computational Linguistics (ACL) FindingsForgotten Polygons: Multimodal Large Language Models are Shape-Blind
- Science AdvancesHistone mark age of human tissues and cells
- ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB)Improved Spatial Transcriptomics Clustering with Nested Graph Neural Networks
- ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction
- PLOS Computational BiologyMachine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma
- Nature NeuroscienceMammalian olfactory cortex neurons retain molecular signatures of ancestral cell types
- Pacific Symposium on Biocomputing (PSB)One-Versus-Others Attention: Scalable Multimodal Integration for Clinical Data
- PLOS Computational BiologyOptimal transport reveals dynamic gene regulatory networks via gene velocity estimation
- Empirical Methods in Natural Language Processing (EMNLP)Pixels Versus Priors: Controlling Knowledge Priors in Vision-Language Models through Visual Counterfacts
- North American Chapter of the Association for Computational Linguistics (NAACL) ConferenceWhat Do VLMs NOTICE? A Mechanistic Interpretability Pipeline for Noise-free Text-Image Corruption and Evaluation
20249 papers
- TCBBGrapHiC: An integrative graph-based approach for imputing missing Hi-C reads
- JMIR Medical EducationLearning to Make Rare and Complex Diagnoses with Generative AI Assistance
- iSciencePredicting A/B compartments from histone modifications using deep learning
- Cell (T1)Private information leakage from single-cell count matrices
- ACM International Conference on the Theory of Information Retrieval (ICTIR)Retrieval Augmented Zero-Shot Text Classification
- JMIR Medical InformaticsRetrieval-Based Diagnostic Decision Support
- Artificial Intelligence and Statistics (AISTATS)Revisiting invariances and introducing priors in Gromov-Wasserstein distances
- Intelligent Systems in Molecular Biology (ISMB)scGrapHiC: Deep learning-based graph deconvolution for Hi-C using single cell gene expression
- European Conference on Computational Biology (ECCB)scNODE: Generative Model for Temporal Single Cell Transcriptomic Data Prediction
20237 papers
- Cell ReportsCellBiAge: Improved single-cell age classification using data binarization
- Cancer ResearchChi3l1 is a modulator of glioma stem cell states and a therapeutic vulnerability for glioblastoma
- Medical PhysicsClinical Capability of Modern Brain Tumor Segmentation Models
- JMLMCInvestigating the Complexity of Gene Co-expression Estimation for Single-cell Data
- GenesInvestigating the performance of deep learning methods for Hi-C resolution improvement
- MicroscopyMemory Efficient Segmentation of Large Microscopy Images Using Graph-based Neural Networks
- AAAI (T1)Unbalanced CO-Optimal Transport
Where alumni went54 listed, 42% to industry
Industry 16Academia 22
Most often to
- Microsoft
- Amazon
Also to
- Brown University
- Brown University Medical School
- Stanford University
Apply to UIUCFall 2027
UIUC Siebel Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- optional
- English
- TOEFL iBT / IELTS
- Fee
- USD 90
Not yet confirmed for this intake.
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