Austin, Texas, United States
Haverford College alum and software engineer.
• Led lab hours and conducted grading for Haverford College's Machine Learning course, with coursework taught in Python.
• Participated in RIT's Computational Sensing for Human-centered AI summer REU • Worked with a partner to design and administer a study gathering multimodal data from human subjects. • Wrote scripts to pre-process and analyze data and trained machine learning models using modest amounts of data. • Presented results at RIT’s Undergrad Research Symposium and submitted a paper for conference publication. • Awarded best poster presentation out of 5 candidate teams. • Technologies used: Python, scikit-learn, Keras, iMotions
• Used Python and Django to make improvements to the DRP platform, which uses machine learning to help chemistry labs accelerate materials synthesis.
• Created MATLAB programs to perform custom data manipulation and statistical analysis on both EEG and eye-tracking data gathered from cognitive neuroscience research. Journal submission under review. • Citation: Compton, R.J., Gearinger, D., Wild, H., Rette, D., Heaton, E., Histon, S., Thiel, P., & Jaskir, M. (under review). Simultaneous EEG and pupillary evidence for post-error arousal during a speeded performance task.