Neil Patel is a dedicated Computational Biologist III at the Dana-Farber Cancer Institute, where he leverages his expertise in computational biology and histology to drive innovative research in cancer genomics. With a strong foundation in bioinformatics, Neil has been instrumental in developing a new Laboratory...
Neil Patel is a dedicated Computational Biologist III at the Dana-Farber Cancer Institute, where he leverages his expertise in computational biology and histology to drive innovative research in cancer genomics. With a strong foundation in bioinformatics, Neil has been instrumental in developing a new Laboratory Information Management System (LIMS) that enhances the efficiency of tracking Single Cell and Nucleus Lab Data. Utilizing modern technologies such as Next.js (React), Express.js (Node.js), and Postgres, he has created a user-friendly platform that empowers scientists to manage and analyze complex datasets seamlessly.
In addition to his development work, Neil maintains a robust analytical pipeline for single cell and nucleus data, employing WDL/Cromwell alongside Python and Bash scripting. His collaborative spirit shines through as he partners with various researchers to analyze diverse single cell projects, contributing to groundbreaking discoveries in cancer research. His proficiency in immunohistochemistry, Western blotting, and cell culture further enriches his analytical capabilities, allowing him to bridge the gap between computational analysis and wet lab techniques.
Neil’s commitment to fostering a positive team environment is evident in his leadership and teaching roles, where he shares his knowledge and skills with peers and trainees alike. His technical acumen, combined with a passion for advancing cancer research, positions him as a valuable asset to any team focused on harnessing data to drive scientific breakthroughs. If you are seeking a professional with a unique blend of computational expertise and hands-on laboratory experience, Neil Patel is eager to connect and collaborate on impactful projects.
