Our research will build on existing experience in my group in the rational design of molecular networks, but requires a much more coherent effort on design of fluidic platforms, chemical synthesis, and machine learning. The research we carry out covers a wide range of experimental sciences (from organic synthesis to analytical chemistry, enzymatic assays, and surface treatments), and use mathematical modelling (think of coding in Matlab, COMSOL, Python) to guide our experiments.

we seek for:

MSc and BSc students

with an interest in a chemical network perspective on information processing and articifial intellicience. 

Projects are available upon request. Examples of current projects are: 1. Influence of thioester hydrolysis rates on local chemical feedback loops (Pepijn de Vries, B. Sc. student). 2. Influence of the coupling strength between flow reactors on the dynamics in enzymatic reaction networks (Justin Morsink, B. Sc student). In addition to acquiring new experimental skills, the emphasis in our BSc and MSc projects is on stimulating the academic method of thinking and acting, and creating the important link to scientific areas related to out-of-equilibrium and systems chemistry. To this end, projects/assignments/interships will be fine-tuned together with you. Please contact Albert Wong for potential projects. 

PHD students

none at the moment.

Post doctoral researchers

with demonstrable knowledge in microfluidics and physical organic chemistry to setup his/her own research projects on the topic chemical feedback & decision making. Collaborations among students is required in achieving our goals, and experience in guiding Ph. D. and undergraduate students, or a proven record in participating in interdisciplinary projects, is therefore preferred.

Postdoctoral researchers are encouraged to apply for independent funding. Please contact Albert Wong for potential sources of funding, and /or support with applications of research proposals.