Rui Meng (孟睿)

Terry Meng

MS student in Bioinformatics at Georgia Institute of Technology

I am a computer science student moving into bioinformatics. My research interests include medical AI, computational biology, multimodal learning, drug-drug interaction prediction, and AI agents for clinical decision support.

My recent work spans CT-based medical image analysis, Alzheimer's disease clinical data modeling, graph-based drug interaction prediction, and generative modeling for classical Chinese poetry.

Medical AI Bioinformatics Computational Biology Drug Discovery AI Agents

Research theme

I am interested in connecting biological structure signals, machine learning representations, and agentic reasoning systems.

Protein structure signals
Machine Learning representation learning
Agent clinical reasoning

News & updates

Selected milestones and academic notes.

Personal academic homepage launched at terrymeng.com.

Preparing to begin MS study in Bioinformatics at Georgia Institute of Technology.

Started work on a preoperative mRS scoring agent for cranial CT and clinical data.

Publications

No publications listed yet.

This section is reserved for future papers, preprints, and manuscripts.

Research

High-performance preoperative mRS scoring agent

Multimodal medical AI workflow integrating cranial CT scans, clinical variables, visual encoders, and large language models for intracranial hemorrhage diagnosis and modified Rankin Scale scoring.

Medical AI · CT imaging · multimodal agent

Triple-stage drug-drug interaction predictor

DDI prediction system covering occurrence prediction, interaction type classification, and severity estimation using molecular representations, graph neural networks, and attention.

GNN · Mole-BERT · drug discovery

Alzheimer's disease classification using deep learning

Clinical trial analytics, statistical programming, quality control, and machine learning workflows for biomarker exploration.

Clinical data · SAS/R · biomarker discovery

Classical Chinese poetry generation

SeqGAN-based poetry generation model with bidirectional LSTM, hierarchical attention, reinforcement learning, Monte Carlo search, and metrical constraints.

Generative modeling · SeqGAN · computational creativity

Education

Georgia Tech seal

Georgia Institute of Technology

MS in Bioinformatics

CUHK emblem

The Chinese University of Hong Kong

BEng in Computer Science and Engineering

Experience

Honors and service

Contact

I am open to research conversations around medical AI, computational biology, bioinformatics, and agentic systems for scientific discovery.

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