Skyler T.
JHU PhD Candidate | Stochastic Processes | Computational Neuroscience
- Role
- Webmaster at Johns Hopkins Biomedical Engineering Extramural Development In Graduate Education Bme Edge
- Location
- Baltimore, MD, US
- LinkedIn followers
- 500 followers
About Skyler T.
Biomedical Engineering PhD Candidate at Johns Hopkins University specializing in neural data decoding. I hold bachelors in Pure Mathematics and Neuroscience from The University of Texas at Austin. My research applies stochastic processes and machine learning to study neural activity and build more robust BCI systems. I combine this technical work with a communication background to translate complex data into clear, impactful narratives. My proficiency in Python programming, data analysis, research, and full-stack development enables me to find and craft engage narratives from data. I have developed a diverse skill set and have developed my computational ability through applied wavelets, machine learning and artificial intelligence. I am passionate about integrating technology and computational thinking into everything I do and I am committed to continuous growth and development in my field.
Experience
Webmaster
Johns Hopkins Biomedical Engineering Extramural Development In Graduate Education Bme Edge
Aug 2023 — Present
Education
The University of Texas at Austin
Bachelor of Science - BS, Neuroscience
The University of Texas at Austin
Bachelor of Science - BS, Mathematics
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