Gabriel Asher Email & Phone Number

Cambridge, MA, US

Cambridge, Massachusetts, United States

Building Matterworks' foundational Large Spectral Model foundation model (LSM) for the future of metabolomics

- Planned, trained, and evaluated Matterworks’ LSM1-MS2, a SOTA foundation model for tandem Mass Spectrometry, encompassing both predictive and generative modeling. - Designed and implemented product critical model alignment and dataset quality assurance modules for both model training and inference. These modules were inspired by state-of-the art deep.

Hanover, New Hampshire, United States

- Currently working on two projects: 1) applying novel self-supervised learning (SSL) methods to medical images for radiation oncology use. 2) Using image super-resolution (SR) techniques to improve MR scan resolution.- Wrote and led application which received $5,000 in GCP research credits for the creation of large, self-supervised, pre-trained models.

- Using Cycle-GAN deep learning architecture to develop synthetic CT scans for LINAC radiation-oncology systems use- Abstract accepted as poster for American Society for Radiation Oncology (ASTRO) and American Association of Physicists in Medicine (AAPM) conferences

Washington, District Of Columbia, United States

- Facilitated the development of a RNA expressive quantitative trait loci (ReQTL) analysis pipeline which correlates Single Nucleotide Polymorphisms to changes in gene expression - Used the ggplot R package to create data visualizations of ReQTL analyses

Bachelor'S Degree, Computer Science - High Honors

Citations in: History of the Roman Empire (CLST18), Religion and Social Capital (REL 21), Transforming Healthcare (CS Senior Seminar.

International Baccalaureate Dual Language Diploma