I am a PhD Candidate in Theoretical Computer Science at École normale supérieure under the supervision of Jérôme Feret. In general, the objectives of my thesis entails developing formal tools to automatically derive qualitative models of biological systems. A major focus of my research is on the rigorous assessment of hypotheses on concentration- and time-scale separation in (stochastic) bio-chemical reaction networks.
Prior to my doctoral studies, I obtained a master's degree in Systems and Synthetic Biology at Learning Planet Institute (formerly CRI-Paris), and from Université de Paris. Here, the curriculum is research-based allowing me to complete a couple of internships in experimental and in theoretical biology. Furthermore, I obtained my bachelor's degree from Southern Connecticut State University with a Chemistry major and Physics and Mathematics as minors. I had the opportunity to do research and write a bachelor's thesis in computational chemistry where I assisted in developing and benchmarking ab initio methods.
I am one of the co-founders of Home Association, a non-profit organization (NGO) educational organization. The focus of the NGO is to train University students with technical and digital skills required in a dynamic job market. Also, we focus on harnessing these skills locally to drive innovation around the sustainable development goals. We have successfully implemented summer schools around our objectives in Accra, Ghana and Kigali, Rwanda. You can learn more about Home Association and its programs here.
Additionally, I am lead teacher at Learning Planet Institute where I teach Introduction to Python to master's students and Introduction to Computational Biology to bachelor's students. The general goal of each course is to provide students with computational skills to approach problems in biology.