Samuel Taylor

Cognitive Science Research Fellow at UC San Diego | 2022 NSF Fellow

La Jolla Shores, California, United States

About

My interests are wedged in the intersection between the cognitive and computer sciences. My research background is oriented towards machine learning, computational linguistics, and computational psychiatry. I have been writing code for the past 17 years, with software development experience in machine learning, embedded systems, mathematical modeling, and data analysis.

Experience

  • Graduate Research Fellow at UCSD Cognitive Science Department
    Aug 2022 - Present · 3 yrs 11 mos

  • Research Specialist at Laureate Institute for Brain Research
    Aug 2020 - Jul 2022 · 2 yrs

    Data analysis and research on psychological, psychiatric, behavioral, and neurological data. Data analysis conducted in Python, R, and MATLAB. Worked with AFNI and SPM.

  • Undergraduate Research Assistant at The University of Tulsa
    Dec 2016 - May 2020 · 3 yrs 6 mos

    Undergraduate researcher in the Computational Neuroscience and Adaptive Systems (CNAS) laboratory. Worked on systems around multi-agent systems, coordination, path-planning and machine learning. Helped design and develop simulation software. Development in Java and Python.

  • Research Intern (Center for the Study of Language and Information) at Stanford University
    Jun 2019 - Aug 2019 · 3 mos

    Summer internship at the Center for the Study of Language and Information at Stanford University. Worked on semantic parsing systems for type-logical grammars. Researched parsing strategies and determining decidability of substructural logics for describing syntactic and semantic rules of natural language. Parsing systems developed in Python.