The fellowship supports AI for scientific discovery, aligning with the applicant's computational modeling and ML skills. However, the focus on laboratory systems and multimodal data is less central to the applicant's core neuroscience and protein ML work, and the full-time commitment in Boston may conflict with ongoing studies.