JULIA BRADLEY
Postdoctoral Research Fellow
Cambridge, MA · j.bradley@email.com · (555) 809-3364
Summary
Postdoctoral research fellow specializing in computational neuroscience and machine learning applications to neural circuit mapping. Secured an NIH F32 fellowship, published 8 peer-reviewed papers, and mentored 5 graduate and undergraduate researchers.
Experience
Postdoctoral Research Fellow · Massachusetts Institute of Technology
2022 - Present
- Lead an independent research project applying deep learning to neural circuit mapping, funded by a $190K NIH F32 fellowship
- Published 5 first-author papers in journals including Neuron and Nature Neuroscience
- Mentored 5 graduate and undergraduate researchers, 2 of whom are now enrolled in PhD programs
- Maintain an open-source PyTorch segmentation toolkit downloaded over 2,400 times on PyPI
Graduate Research Fellow · National Institutes of Health
2018 - 2022
- Developed a novel imaging analysis pipeline adopted by 3 other labs within the institute
- Presented research at 6 national conferences, including 2 invited talks at the Society for Neuroscience annual meeting
- Analyzed 12 TB of electrophysiology data on the NIH Biowulf cluster using Python and Snakemake
Research Assistant, Systems Neuroscience Lab · Johns Hopkins University
2016 - 2018
- Ran two-photon calcium imaging across 40 rodent subjects, logging data in LabArchives
- Wrote MATLAB scripts that cut spike-sorting time per session from 4 hours to 45 minutes
- Prepared figures and methods for 3 manuscripts, 2 published in Journal of Neurophysiology
Education
Ph.D. Neuroscience — Johns Hopkins University · 2022
Skills
Independent Research, Grant Writing, Python, MATLAB, Deep Learning, Statistical Analysis, Bioinformatics, Manuscript Preparation, Mentorship, Conference Presentations
Certifications
Human Subjects Research Certification, CITI Program
Responsible Conduct of Research Certification, CITI Program
