Mara Okonkwo

Research Assistant II – Behavioral Neuroscience

Contact

mara.okonkwo@gmail.com

+1 555 0147

Ann Arbor, MI

linkedin.com/in/mara-okonkwo

Skills

MATLAB & Python (NumPy, SciPy, Pandas)

FSL & SPM12 neuroimaging analysis

Stereotaxic surgery & histology

Electrophysiology (in vivo LFP recording)

SPSS & R statistical modeling

IRB protocol management

Datavyu behavioral coding

PCR & Western blot (basic molecular)

IACUC animal handling certification

Links

LinkedIn

GitHub

Publication

Profile

Behavioral neuroscience research assistant with 4 years of hands-on experience in rodent models, electrophysiology, and cognitive behavioral paradigms at R1 universities. Proficient in MATLAB, Python, and SPSS for data pipeline automation and statistical analysis of large neuroimaging datasets. Co-authored 2 peer-reviewed publications and reduced data-processing time by 38% through custom preprocessing scripts.

Work Experience

Research Assistant IIJun 2022 - Present
University of Michigan Brain & Behavior Lab, Ann Arbor, MI
  • Designed and executed 14 fear-conditioning behavioral protocols across 120+ rodent subjects, achieving 94% data-quality yield and reducing trial attrition by 22%.
  • Automated EEG artifact-rejection pipeline in Python, cutting preprocessing time from 6 hours to under 2 hours per dataset and eliminating manual entry errors across 3,400 recordings.
  • Mentored 4 undergraduate volunteers on stereotaxic surgery prep and histology procedures, reducing supervisor intervention requests by 60% within one semester.
Research Assistant ISep 2020 - May 2022
Wayne State University Cognitive Neuroscience Center, Detroit, MI
  • Recruited and screened 210 adult participants for fMRI studies on working memory, maintaining IRB-compliant consent records with zero protocol deviations over 20 months.
  • Processed and quality-checked 1.8 TB of BOLD-signal neuroimaging data using FSL and SPM12, contributing to analyses published in NeuroImage (2022).
  • Built an automated scheduling dashboard in Google Apps Script that reduced participant no-show rates by 31% and saved the lab coordinator 5 hours per week.
Undergraduate Research InternJan 2019 - Aug 2020
Michigan State University Psychology Department, East Lansing, MI
  • Coded 640 hours of observational video data for an NIH-funded childhood stress study using Datavyu, reaching 96% inter-rater reliability with the senior coder.
  • Assisted with literature synthesis for 3 grant submissions totaling $480,000 in requested funding, 2 of which were awarded.
  • Prepared and stained 300+ histological brain sections using cresyl violet protocol, supporting publication-quality imaging for 1 journal article.

Education

B.S. in Neuroscience, Minor in Statistics2016 - 2020
Michigan State University, East Lansing, MI
GPA 3.87 | Dean's List 6 semesters | Senior Thesis: 'Stress Reactivity and Prefrontal Cortex Connectivity in Adolescent Rodent Models'