CV
General Information
| Full Name | Tue Vu |
| Position | AI/ML Research Scientist |
| Affiliation | Office of Information Technology, Southern Methodist University |
| vuminhtue@gmail.com | |
| Address | 320, Perkins Admin Bldg, SMU, Dallas, Texas |
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Education
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2012 Ph.D.
National University of Singapore, Singapore - Computational Hydro-Climatology
- Hydroinformatics
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2025 Master of Science in Data Science
Southern Methodist University, Dallas, Texas, USA - Machine Learning specialization
- Large Language Models
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2007 Master of Science - Environmental Engineering
Stanford University + Nanyang Technological University joint program - Environmental Informatics
Experience
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2021-now AI/ML Research Scientist
Office of Information Technology, Southern Methodist University - AI/ML and Big Data research consultant.
- HPC & Lead Data Scientist.
- Deliver workshop on applying AI/ML/HPC to advanced research
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2018-2021 Senior HPC Facilitator
Clemson Computing & Information Technology, Clemson University, South Carolina, USA - Support university's researchers using Advanced Research Computing for large scale simulation
- Deliver workshop on applying AI/ML/HPC to advanced research
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2018-2021 Research Assistant Professor
Glenn Department of Civil and Environmental Engineering, Clemson University, South Carolina, USA - Advanced Research on Climate Science, Drought, and Water Resources
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2015-2018 Postdoc
Glenn Department of Civil and Environmental Engineering, Clemson University, South Carolina, USA - Work on AIG project on Risk Engineer related to Natural Hazard: Flood, Drought, Hurricane
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2007-2015 Research Engineer & Research Fellow
Tropical Marine Science Institute, National University of Singapore, Singapore
Skills
| HPC | ||
| Cuda, GPU, gnu-parallel, MPI, MKL, OpenMP, Spack, Slurm, PBS, Lmod, Open OnDemand, Docker, Singularity, software installation from source | ||
| Programming Languages | ||
| Python, R, Matlab, Visual Basic, VBA, C++, Turbo Pascal, Fortran, SQL | ||
| Machine Learning | ||
| Scikit-learn, R-caret, Ensemble (Bagging, Boosting, Stacking), SVM, Dimension Reduction (PCA, t-SNE, UMAP), Clustering (K-means, DBSCAN, Hierarchical Clustering) | ||
| Deep Learning | ||
| TensorFlow, PyTorch, Keras, CNN, RNN, LSTM, GRU, GAN, VAE, Diffusion Models | ||
| Natural Language Processing & LLMs | ||
| Transformers, Attention Mechanisms, BERT, GPT, pretraining, fine-tuning, LoRA, QLoRA, prompt engineering, chain of thought, few-shot learning | ||
| Data Science | ||
| Statistical Analysis, Data Cleaning, Data Preprocessing, Data Transformation, Data Integration, Data Modeling, Data Mining | ||
| Big Data | ||
| RAPIDS (cudf, cupy, cuXFilter), Dask, Horovod, Spark, Hadoop, MongoDB, Cassandra | ||
| BI platforms | ||
| Tableau, PowerBI, RapidMiner, Databricks, PySpark | ||
| Visualization | ||
| Matplotlib, Seaborn, Plotly, Bokeh, Tableau, Streamlit, Gradio, ggplot2, Processing, D3.js | ||
| Computer Vision | ||
| CNN, Object Detection (YOLO, R-CNN, Fast R-CNN, Faster R-CNN), Image Segmentation (Mask R-CNN, RetinaNet, Detectron), SAM | ||
| Generative AI | ||
| RAGs (semantic chunking, vector embedding, reranker, fusion retrieval, GraphRAG), LLMs (gpt-oss, gemma, deepseek, qwen, llama, phi), Ollama, HuggingFace, SGLang, VLLMs | ||
Honors and Awards
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2025 - J. James R. Croes Medal
- Best SMU Capstone presentation award
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2013 - Best Student poster award
Certificates
- NVIDIA Deep Learning Institute
- Ambassador Certificate
- Generative AI with Diffusion Model
- Applications of AI for Predictive Maintenance
- Building Transformer-Based Natural Language Processing Applications
- Applications of AI for Anomaly Detection
- Fundamentals of Accelerated Data Science with RAPIDS
- Fundamentals of Deep Learning for Multi-GPUs
- Fundamentals of Deep Learning
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IBM- NoSQL, Big Data, and Spark Foundations Specialization
- Building Deep Learning Models with TensorFlow
- Introduction to Deep Learning & Neural Networks with Keras
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DeepLearning.AI- Natural Language Processing with Attention Models
- Natural Language Processing with Classification and Vector Spaces
- Natural Language Processing with Sequence Models
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Databricks- Data Science with Databricks for Data Analysts Specialization
- Apache Spark SQL for Data Analysts
- Data Science Fundamentals for Data Analysts
- Applied Data Science for Data Analysts
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Altair RapidMiner- Data Engineering Professional Certification
- Machine Learning Master Certification
- Machine Learning Professional Certification