Thiru Ramaraj (PER-016)

Summary ✓

• Person ID: PER-016
• Primary affiliation: Jarvis CDM / School of Computing
• Role types: faculty
• Last reviewed: 2026-05-30

Profile & contact

• Faculty profile: facweb.cdm.depaul.edu/research/vc

Description

VIDA/MedIX research faculty.

Linked resources

• VIDA / MedIX / IMP Labs (Faculty lead)
• Computational Biology & Applied Bioinformatics (Faculty lead)

Linked grants

• National Center for Genome Resources / NSF award (PI)
• Comprehensive Immunological Responses to Epstein–Barr Virus in Heart Transplant Recipients Who Do and Do Not Develop Post-Transplant Lymphoproliferative Disease (Co-PI)
• Machine Learning Discovery of Novel Brainstem Nuclei Controlling Orofacial Behaviors (Co-PI)
• Validation of Inhalation Therapy to Enhance Anti-Malarial Immune Response Using Machine Learning (PI)
• Collaborative Research: TRTech-PGR: Functional Pangenomic and Machine Learning Tools for Exploring Genetic Diversity in Plants (PI)
• Sequence Resources for Cotton, a Model System for Allopolyploid Crops (PI)
• Collaborative Research: Innovation: Pioneering New Approaches to Explore Pangenomic Space at Scale (PI)
• Collaborative Research: ABI Innovation: Biofilm Resource and Information Database (BRaID): A Tool to Fuse Diverse Biofilm Data Types (PI)
• The project, Sequence Resources for Cotton, a Model System for Allopolyploid Crops, is focused on genome assembly and annotation of cotton lines. DePaul, together with collaborating institutions, is d (PI)
• This project, Collaborative Research: ABI Innovation: Biofilm Resource and Information Database (BRaID): A Tool to Fuse Diverse Biofilm Data Types; seeks to construct a biofilm resource and informatio (PI)
• Computational Biology and Applied Bioinformatics (CoBaAB) Lab (PI)

Linked courses

None documented.

Linked publications

• Optimizing Computer-Aided Diagnosis with Cost-Aware Deep Learning Models (Coauthor) — DOI/source
• Enhancing Pulmonary Nodule Localization Based on Latent Representations (Coauthor) — DOI/source
• Application of Machine Learning Techniques to Drive Immunological Insights Towards Malaria Prognosis Using Microarray data (Coauthor) — DOI/source
• Video Label Refinement for Temporal Localization (Coauthor) — DOI/source
• Scalable Alignment-Free Phylogenomics Using Normalized Compression Distance (NCD): A Case Study in Tomato (Solanum Lycopersicum) Whole Genomes (Coauthor) — DOI/source

Linked outputs

None documented.

Verification

• Status: repo_and_depaul_verified (✓)
• Confidence: medium
• Last reviewed: 2026-05-30
• ORCID verification: unresolved (source: n/a)

Source URLs

• facweb.cdm.depaul.edu/research/vc
• cds.cdm.depaul.edu/affiliated-labs-2-2
• facweb.cdm.depaul.edu/research/vc

Notes

Generated from data/people.yaml and link registries. Person hub page — browse linked resources, grants, and courses from this index entry.