Computational Biologist
Area:
Phone:
(508) 654-0799
Email:
[javascript protected email address]
I am a computational biologist who is passionate about predictive diagnostic tools. I work at the intersection of statistics, computer science and biology.
Key Responsibilities:
- Develop, implement, and optimize bioinformatics pipelines for single-cell RNA sequencing (scRNA-seq) and Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq).
- Perform core and downstream analysis of scRNA-seq and ATAC-seq data, including quality control, normalization, clustering, differential expression analysis, and integration of datasets.
- Utilize and adapt large language models (LLMs) for the classification and analysis of biomedical texts, enhancing data interpretation and knowledge extraction.
- Collaborate with interdisciplinary teams to design experiments, interpret results, and contribute to high-impact publications.
- Stay abreast of latest developments in bioinformatics, computational biology, and related fields, continuously integrating novel methods and technologies into our research.
- Provide expertise and support in bioinformatics to team members, contributing to the overall scientific goals of the organization.
- Ensure rigorous documentation of methods and analyses, maintaining high standards of reproducibility and transparency.
Education
B.A. Computational Biology, 2022, Colby College
