summary
- Neuroscientist experienced in both pre-clinical and cellular neuroscience research
- Managed collaborative teams responsible for gathering and analyzing multiple terabytes of scientific data
- Programmer with experience building tools to aid in scientific research using Python, R, and Clojure
- Experienced with statistics, data analysis, data management, and visualization
- Successful scientific writer and fundraiser, raising over $97,000 in grants and fellowships as a Ph.D. student
experience
NIH National Research Service Award Fellowship
august 2019 - present
- Designed and implemented an original research project to study how neurons and glial cells adapt to facilitate olfactory sensory processing
- Awarded an F31 Fellowship from the NIDCD, raising $66,952 so far
- Extensive use of Python, SQLite, and R for data analysis, statistics, and data visualizations
- Designed a data storage and sharing plan
- Designed and supervised sub-projects completed by students and research assistants
- Collaborated with various research groups to design and perform advanced and microscopy techniques
- Invited presentation at the Gordon Research Seminar on Glial Biology, 2019
Colorado Clinical & Translational Sciences Institute Pre-Doctoral Fellowship
august 2017 - july 2018
- Awarded a TL1 Translational Research Fellowship, raising $30,682 during my second year as a Ph.D. student
- Worked in a collaborative group consisting of Clinicians, Physicists, and Neuroscientists to develop and test an experimental microscope for neurosurgery
- Managed the experimental design, data gathering, and data analysis of a team of research assistants and students
- Achieved 89% classification accuracy of human brain regions using classification/machine learning algorithms
- Invited presentation and Wellcome Trust Travel award for the Translational Science 2018 conference
software
- A PyQt GUI for fast visualization of Axon binary format (ABF) electrophysiology data and metadata
- Unit testing with multiple Python versions using pytest and tox
- Use of the
make build automation tool and pyinstaller to generate standalone executables for macOS
- Plugins for Fiji/ImageJ to automate common laboratory image analysis tasks
- Learned and used ImageJ's Java API from Python
- Personal project to learn Clojure, a functional lisp hosted on the Java Virtual Machine
- Writing covering my use of programming languages and tools for science
teaching and outreach
Software Carpentry Instructor
october 2020 - present
August 2016 - August 2018
- Met biweekly with presentations on reproducible research tools and best practices with the R programming language
- Provided office hours for researchers who needed advice or help with data analysis