I am currently pursuing a Master’s degree in Pharmaceutical Modeling at Uppsala University, Sweden, which is ranked 26th in Pharmacy & Pharmacology according to 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 eagerly anticipating embarking on my thesis project, focusing on G-protein coupled receptors (GPCRs), under the supervision of Professor Jens Carlsson 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/.
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.
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.
24 April 2024
I am very proud to share that I have been awarded the Anders Wall’s Scholarships by Uppsala University. (40.000 SEK)
05 March 2024
I am happy to share that I will conduct my master’s thesis project in Jens Carlsson’s lab, Uppsala University. My thesis will involve in applying AI in molecular docking and assess their enrichment rate for predictive drug discovery.
08 January 2024
Our new systematic review has been published open access on Natural Products and Bioprospecting journal. The review summarizes the current evidence on the potential of flavonoids as antidiabetic agents via the inhibition of α-glucosidase and α-amylase simultaneously. See its details at Publications.
