PhD Candidates
Layla Haddad
Layla builds ML-accelerated reaction networks that prioritize promising catalysts before expensive lab synthesis. Her cheminformatics pipeline expertise fits a company building computational chemistry platforms for R&D teams.
Details
- Advisor
- Dr. Mazen Al-Ghoul
- Field
- Computational Chemistry
- Institution
- American University of Beirut
- Skills
- DFTPythonMachine LearningReaction KineticsHigh-Throughput ScreeningCheminformatics
- Thesis
- Machine-learned reaction networks for catalyst screening
- Transition Signals
- Internship at a computational-chemistry software firmCo-authored with industry catalysis groupOpen-sourced a reaction-prediction model