I obtained my Master’s degree in Pharmaceutical Science from the Uppsala University, Sweden, which ranked 93th in the QS Ranking 2025. My academic journey is fueled by a passion for leveraging computational methods to drive advancements in drug discovery.
In the fall of 2024, I am eager to embarking on my thesis project, focusing on applying machine learning with structure-based virtual screening, under the supervision of Professor Jens Carlsson and Dr. Israel Cabeza de Vaca at the Department of Cell and Molecular Biology, Uppsala University. You can learn more about the ongoing research in our group at https://www.carlssonlab.org/. The abstract of my Master’s thesis named “Synthon-based docking and machine learning to accelerate structure-based drug discovery in ultralarge libraries” is available on DIVA
Prior to my current pursuits, I earned my Pharmacist degree in 2022 from the University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam, where I graduated with distinction, ranking second out of a cohort of 368 students. During my undergraduate studies, I have conducted my thesis project under the supervision of Prof. Khac-Minh Thai and Dr. Tan Thanh Mai. My thesis project focused on employing advanced molecular modeling techniques, including molecular docking, molecular dynamics simulation, and binding free energy estimation, to identify potential inhibitors for the protein-protein interaction of IL-33/ST2. Additionally, I spearheaded in-vitro evaluations of the binding properties of promising compounds using fluorescent quenching principles. These findings hold significant promise for advancing IL-33 inhibition using small molecules and underscore my commitment to translating computational insights into tangible therapeutic solutions.
Following graduation, I transitioned seamlessly into a role as a graduate research assistant, contributing my expertise to a range of computer-aided drug design (CADD) projects. For a comprehensive overview of my academic contributions, please refer to my Publications.
My research interest involves the use of computational methods and predictive models to streamline the drug discovery process. The following topics are of interest but are not limited to:
See my ongoing projects at our Research.
05 June 2025
I am very proud to share that I have successfully defended my master’s thesis on ‘Synthon-based docking and machine learning to accelerate structure-based drug discovery in ultralarge libraries’ and graduated with a Master’s degree in Pharmaceutical modelling from Uppsala University. I am grateful to my supervisors, Jens Carlsson and Israel Cabeza de Vaca for their guidance.
30 May 2025
I am delighted to announce that I have been awarded the Hill Scholarships by the Faculty of Pharmacy, Uppsala University. (30.000 SEK).
19 March 2025
I am happy to share that I have had an opportunity to attend and present the poster of MolSanitizer at the 2nd Nordic Conference on Computational Chemistry, hosted by AstraZeneca Gothenburg. Looking forward to publish the results soon!
23 Aug 2024
After one year of working in the Mixed-solvent MD (MixMD) project, our paper is now published on J. Phys. Chem. B, See its details at Publications.
02 June 2024
I am delighted to share that I will conduct my summer internship in Jens Carlsson’s lab, Uppsala University. My project will focus on using different active learning approaches to improve the enrichment rate and diversity of AI-accelerated docking. I will also be in charge of developing a pipeline to prepare the large chemical libraries and to generate better conformations.
