Van-Thinh To

CV summary

My training combines pharmacy, bioinformatics, chemistry, and machine learning for computer-aided drug discovery. I am currently an Erasmus Mundus double-degree master's student in Bioinformatics at University Paris Cite and Chemistry at the University of Milan.

I previously completed a Bachelor of Pharmacy at the University of Medicine and Pharmacy at Ho Chi Minh City. My thesis focused on knowledge-guided graph self-supervised learning for molecular property prediction.

Education

• 2025 - expected 2027: Erasmus Mundus double-degree master's program, Bioinformatics at University Paris Cite and Chemistry at University of Milan.
• 2019 - 2024: Bachelor of Pharmacy, University of Medicine and Pharmacy at Ho Chi Minh City. Thesis: A Knowledge-Guided Graph Self-Supervised Learning for Molecular Property Predictions.

Research experience

• 2025 - present: Master researcher, University Paris Cite. Work on PubChem and ChEMBL bioactivity retrieval, dark chemical matter selection, virtual screening benchmarks, self-supervised molecular representation learning, and target-specific scoring functions.
• 2022 - 2025: Undergraduate researcher, University of Medicine and Pharmacy at Ho Chi Minh City. Work on molecular representation, HIV integrase, PD-L1, ALK, EGFR, and VEGFR drug discovery projects, with an emphasis on self-supervised graph learning for molecular property prediction.

Skills

• Cheminformatics: RDKit, molecular fingerprints, descriptors, PubChem, ChEMBL, PDB, PyMOL, GNINA.
• Machine learning: scikit-learn, TensorFlow, PyTorch, graph neural networks, QSAR, virtual screening.
• Programming: Python, R, C, Linux terminal, Git, Pytest, package management, deployment.