About Me

Hello! 👋

I’m Rom Uddamvathanak, an AI Engineer with a passion for pushing the boundaries of artificial intelligence in healthcare and bioinformatics. With 5 years of experience in Deep Learning, Data Science, and Generative AI, I specialize in developing cutting-edge solutions that bridge the gap between complex AI technologies and real-world applications.

Currently at A*STAR (Agency for Science, Technology and Research) in Singapore, I’m working at the intersection of AI and healthcare, where I leverage advanced machine learning techniques to accelerate drug discovery and enhance personalized medicine approaches. My work with DISCOToolkit, which has garnered over 24,000 downloads, demonstrates my commitment to creating accessible and impactful tools for the scientific community.

Professional Journey

AI Engineer

A*STAR - Agency for Science, Technology and Research | Singapore | Jan 2022 - Present

At A*STAR, I’m driving innovation in healthcare AI through several key initiatives:

• AI Healthcare Innovation: Leading collaborative projects with Google to advance personalized medicine and accelerate drug discovery pipelines. This work involves developing novel approaches to patient treatment optimization and drug response prediction.

• Deep Learning Research: Developed and implemented innovative Deep Learning models using PyTorch for predicting drug treatment responses at single-cell resolution. This work has expanded to include temporal predictions, significantly improving simulation reliability for drug discovery applications.

• Open Source Impact: Made substantial contributions to DISCOToolkit, a widely-used Python toolkit for single-cell RNA-seq analysis (24K+ downloads). Published in Nucleic Acids Research, this work has enhanced downstream analysis reliability and enabled new types of biological insights.

• Infrastructure Management: Successfully maintained critical server infrastructure with 99.9% uptime, ensuring uninterrupted research and development activities. This involved implementing robust monitoring systems and disaster recovery protocols.

• Cross-functional Leadership: Actively collaborate with biologists and bioinformaticians to translate complex research findings into practical applications, bridging the gap between theoretical advances and real-world implementation.

Research Student

Monash University | Melbourne, VIC | Nov 2020 - Jun 2021

During my research tenure, I focused on advancing molecular property prediction through innovative AI approaches:

• Novel Architecture Development: Created a groundbreaking graph-sequence fusion framework that combines Graph Neural Networks (GNNs) with sequence models, achieving an 8.1% improvement in predictive accuracy on benchmark datasets, including SARS-CoV antivirals.

• Feature Engineering Innovation: Designed and implemented an attentional feature fusion mechanism that effectively integrates diverse molecular data modalities, enhancing both model performance and interpretability.

• Research Communication: Presented findings at the International Joint Conference on Neural Networks (IJCNN 2022), engaging with leading AI researchers and contributing to the academic discourse in molecular machine learning.

Education & Academic Excellence

Master of Science in Data Science

Monash University | Melbourne, VIC | 2019 - 2021

A comprehensive program that combined theoretical foundations with practical applications in data science and machine learning. Notable achievements:

• Received the prestigious International Study Grant
• Awarded Summer Research Scholarship for exceptional academic performance
• Focused on advanced machine learning, deep learning, and their applications in healthcare

Bachelor of Science - First Class Honours

Coventry University | Coventry, UK | 2017 - 2019

Established strong foundations in computer science and mathematics, graduating with First Class Honours distinction.

Impact Through Innovation

Research Publications

My research has contributed to significant advances in bioinformatics and AI applications:

1. DISCO Platform (2024) - Nucleic Acids Research

   • Revolutionizing access to single-cell data analysis
   • Enhancing reproducibility in bioinformatics research

2. Spatial Transcriptomics (2024) - Genome Medicine

   • Advanced unsupervised deep learning for spatial genomics
   • Contributing to breakthrough discoveries in tissue analysis

3. Molecular Property Prediction (2022) - IJCNN

   • Novel graph-sequence learning framework
   • Improving drug discovery through AI innovation

Notable Projects

Deep Researcher scRNA

An innovative research assistant that combines:

• Advanced LLM integration via Ollama
• Specialized literature search using Tavily API
• Custom-built multi-agent system for bioinformatics research

Local PDF RAG Chatbot

A sophisticated document analysis system featuring:

• Local LLM deployment for enhanced privacy
• Advanced RAG implementation
• Efficient vector database integration

Forex Price Movement Prediction

A comprehensive financial analysis tool incorporating:

• Real-time data processing via Alpha Vantage
• Advanced time series forecasting with Prophet
• Interactive dashboard for market analysis

Technical Arsenal

Core Competencies

• AI/ML: Generative AI (LLMs, RAG), Deep Learning, Neural Networks
• Data Science: Predictive Analytics, Statistical Analysis, Feature Engineering
• Development: MLOps, Algorithm Design, API Development
• Domain Expertise: Bioinformatics, Healthcare AI, Financial Technology

Technology Stack

• Languages: Python (Advanced), R, SQL, Java, JavaScript, C++, C, Bash
• AI/ML Frameworks: PyTorch, TensorFlow, Keras, Scikit-learn, LangChain, Hugging Face
• Cloud & Infrastructure: GCP, Azure, AWS, Docker, Git
• Development Tools: FastAPI, Streamlit, Ollama
• Databases: MySQL, MongoDB, Apache Spark

Professional Development

Maintaining cutting-edge expertise through prestigious certifications:

• Deep Learning Specialisation (Deep Learning.ai)
• Machine Learning Specialisation (Stanford & Deeplearning.ai)
• AWS Cloud Solutions Architecture
• Google Advanced Data Analytics
• Microsoft Azure Data Scientist Associate (DP-100)
• IBM AI Developer