Daniel Paul Armstrong

Daniel Paul Armstrong is a Doctoral Assistant at the Laboratory of Artificial Chemical Intelligence (LIAC) within the Institute of Chemical Sciences and Engineering (ISIC) at École polytechnique fédérale de Lausanne (EPFL). He is concurrently enrolled as a doctoral student in the Doctoral Program in Chemistry and Chemical Engineering (EDCH) at EPFL, indicating an active research and academic trajectory in the domain of chemistry and advanced materials.

His academic training and research are situated within the School of Basic Sciences, focusing on the integration of artificial intelligence with chemical discovery and materials design. The interdisciplinary environment of LIAC suggests a strong emphasis on computational modeling, machine learning for molecular systems, and innovation in functional chemical materials.

Although no publications authored by Daniel Paul Armstrong are listed in the provided data, the research output of the broader group includes significant contributions in organic semiconductors, perovskite materials, electrochemical transistors, and advanced polymer systems. These areas reflect the likely thematic context of his doctoral work, particularly at the intersection of AI-driven chemical design and electronic materials.

No scientific awards or recognitions are mentioned in the available information.

As a doctoral researcher, he is likely involved in collaborative projects, possibly advising or mentoring junior students indirectly, though no formal advisees are listed. There is no mention of independent grants, but he may be supported through institutional or group-level funding associated with the LIAC laboratory.

The Laboratory of Artificial Chemical Intelligence (LIAC) serves as his primary research environment, promoting innovation in intelligent systems for chemical synthesis, materials optimization, and molecular engineering, aligning with EPFL’s leadership in interdisciplinary science and technology.