Welcome

Hello! I am Hannes Vandecasteele, a postdoctoral research fellow at the Department of Applied Mathematics and Statistics at Johns Hopkins University (JHU). I also hold a second appointment at the Department of Chemical and Biomolecular Engineering at JHU. My advisor is Ioannis Kekvrekidis. My current research focuses on developing machine learning algorithms for s scientific computing, and specificaly for computational chemistry. My goal is to integrate machine learning and advanced mathematical techniques to address the challenge of computational drug discovery.

Previously, I worked on micro-macro Markov chain Monte Carlo methods for multiscale molecular dynamics, micro-macro acceleration for stochastic differential equations with a time-scale separation, and reaction-path continuation methods for chemical systems. Now, I am leveraging my expertise in machine learning for scientific computing to push the boundaries of what computational tools can achieve in the world.

I earned my PhD from KU Leuven in Belgium in 2023. My professional journey has also included working as a software engineer at Facebook where I developed physics engines for virtual reality applications.

You can reach me at hvandec1[at]jh.edu or connect with me on LinkedIn.