Summary of Research
I develop computational models leveraging machine learning to decipher the complex information present in spectra of copolymer mixtures and determine their sequence compositions. In addition, I aim to use ML-models as a deductive tool to identify which product identification techniques hold the most information about a copolymer mixture, developing a standard set of tools for AI-driven spectral analysis of copolymers.
Publications
Jackson, S. W.; Jang, M.-H.; Asani, E.; Yates, C. R.; Ng, J.; Baudry, J. Infrared Spectroscopic Characterization of Sesamin, a Dietary Lignan Natural Product. PLoS ONE 2024, 19 (10), e0296541–e0296541.
Asani, E. "Developing a Machine Learning Model for Protein Conformational Selection and Prediction in Drug Discovery Applications" (2023). Honors Capstone Projects and Theses. 773.
https://louis.uah.edu/honors-capstones/773
Fermionic Deep Neural Networks in Quantum Embedding Calculations of the Spin-Splitting Energy of [Fe(H2O)6]3+, 2022 Summer Undergraduate Research Expo, University of Minnesota, Minneapolis, Minnesota, August 11, 2022.
Awards
Matthews Fellow, University of Illinois Urbana-Champaign, 2024, 2025.
John C. Bailar Fellow, University of Illinois Urbana-Champaign, 2024, 2025.
Graduated summa cum laude, with honors, The University of Alabama in Huntsville, 2023.
Charger Distinction 100% Scholarship, The University of Alabama in Huntsville, 2019-2023.
Rast Scholarship, The University of Alabama in Huntsville, 2019-2023.
President's List, The University of Alabama in Huntsville, 2019-2023.