Worked with University of Birmingham researchers on machine-learning approaches for digital chemistry. The project involved experimenting with architectures, presenting findings to domain experts and producing research recommendations for future work.
Digital chemistry
Domain
ML + CV
Focus
Research report
Output
Key details
- Applied machine-learning techniques to molecular skeleton representations.
- Reported findings to technical experts and recommended further experimentation.
- Built a proof-of-concept foundation for future digital chemistry pipelines.