Research Interests

I develop machine learning methods, particularly graph neural network methods, for materials exploration. I have demonstrated ability to advance scientific discovery in data-scarce conditions through innovative architecture design, active learning, and cross-disciplinary collaboration. I am looking for a position in which I can leverage this expertise to drive breakthroughs in materials informatics and next-generation battery development.

Publications

Maryam Pardakhti*, Nila Mandal*, Anson W. K. Ma, Qian Yang. Practical Active Learning with Model Selection for Small Data, ICMLA 2021, https://arxiv.org/abs/2112.11572

Nila Mandal, James Maniscalco, Mark Aindow, Qian Yang. Siamese Graph Neural Networks for Melting Temperature Prediction of Molten Salt Eutectics, Under Review, https://chemrxiv.org/engage/chemrxiv/article-details/6900dd70ef936fb4a2d1f77ca

*: Co-First Authors

Presented Posters