Spence Taylor Email & Phone Number

• Research data scientist III for the epilepsy department at the Cleveland Clinic Neurological InstituteCreating and managing data structures, designing and conducting data analysis, and supporting other clinical.
• Provide data support for clinical trial for silent phase neurological disease, including data storage and pipelining with complementary data repository, generating data analysis plan, and authoring protocol paper
• Extract, validate, and analyze features from electronic medical record (EMR) to generate prediction models
• Conduct preliminary analyses and quarterly present scientific findings to donor and study team for lifestyle intervention study for epilepsy
• Design and implement data flagging tools and workflows for data quality checks and for neurological disease risk factor criteria in a multi-model longitudinal study

• Data scientist II for the epilepsy department at the Cleveland Clinic Neurological InstituteCreated and managed data structures, designed and conducted data analysis, and supported other clinical research activities.
• Provided data support for clinical trial for silent phase neurological disease, including data storage and pipelining with complementary data repository, generating data analysis plan, and authoring protocol paper
• Extracted, validated, and analyzed features from electronic medical record (EMR) to generate prediction models
• Conducted preliminary analyses and quarterly present scientific findings to donor and study team for lifestyle intervention study for epilepsy
• Designed and implemented data flagging tools and workflows for data quality checks and for neurological disease risk factor criteria in a multi-model longitudinal study
• Created a pipeline for filtering patients according to research criteria using electronic medical record (EMR) data to reduce manual chart review burden, resulting in 15-20% fewer reviews required

Philadelphia, Pennsylvania, United States

• Research fellow in the Department of Psychology with Adrianna (Anna) C. JenkinsTopic: social cognition neuroscience
• Analyzed cognitive task data to explore relationships between cognitive processes - future decision making and abstraction - as well as individual differences in performance
• Used mixed linear models to assess the contribution of task conditions and autism-related traits on futuredecision making and abstraction
• Explored natural language processing methods of quantifying indicators of cognitive processes in text data

Advisor: Edward (Ted) S. Brodkin, M.D.Dissertation topic: Relationship between and genetic basis of Autism Spectrum-related traits- Clean and visualize quantitative and qualitative data using Excel and R- Analyze quantitative data using R (with methods including multivariate linear regression, cluster analysis, SVM, PCA)- Complete heritability analyses.

- Serve as teaching assistant for Cognitive Neuroscience course- Develop and give lecture on Social Neuroscience- Lead discussion sections on course material- Hold office hours to provide feedback and support to students

- Tutored student athletes in STEM topics

- Research Assistant for Autism Lab studying social cognition - Cleaned and analyzed behavioral and EEG data using Excel, SPSS, and BrainVision- Collected EEG and behavioral task data- Developed behavioral tasks using EPRIME

- Teaching assistant for Biophysics and Modeling neuroscience course- Held weekly office hours to help students with course material- Held review sessions prior to exams

Doctor Of Philosophy - Phd, Neuroscience

Activities and Societies: Graduate Led Activities and Initiatives (GLIA) member || Penn Science Policy and Diplomacy Group member ||.

Bachelor Of Science (B.S.), Neuroscience

Activities and Societies: Phi Beta Kappa || Kappa DeltaHonors thesis advisors: Cheryl L. Dickter, Ph.D.; Joshua (Josh) A. Burk, Ph.D.