Hello, my name is Mardochée (pronouced: Mar-Dough-Shay).
I’m a currently a research associate and materials informatics program manager at Corning Incorporated.
I’m generally interested in using Artificial Intelligence to accelerate the pace of scientific discoveries.
In particular, I’m interested in:
- How artificial intelligence can be used for materials discovery including for property predictions, structural characterization, etc.
- How machine learning can be used to accelerate simulations that are currently too computationally expensive such as molecular simulations, Density Functional Theory calculations, etc.
- How recommendation systems can be used for hypothesis generation, experiment design and candidate generation.
- How Natural Language Processing can be used to better manage scientific knowledge and data in accordance with FAIR (Findable, Accessible, Interoperable and Reusable) principles.
Selected Features
- American Chemical Society (ACS) on AI for materials discovery [Link]
- Corning Incorporated on Culture of Innovation [Link]
- Cornell University on Discovery, Scholarship and Impact [Link]
Highlighted Awards
- Black Engineer of the Year Award, 2021 Modern Day Technology Leader
- Excellence in Volunteerism, Corning Incoporated, 2020
- 2018 Hooey Award in Chemical Engineering, Cornell University [Link]