Being a forward-thinking professional, I led and managed end-to-end cognitive science experiments, from participant recruitment to the execution of data acquisition processes, ensuring the integrity and efficiency of research initiatives. My expertise extends to conducting advanced generative modeling and sophisticated graph theoretical analyses, providing unparalleled insights into dynamic fluctuations within large-scale networks. I am known for my ability to streamline data processing workflows through the implementation of automated pipelines in MATLAB and Python, resulting in a significant increase in team productivity. As a compassionate and motivational team member, I coordinate with multidisciplinary teams, including neuroscientists, clinicians, and engineers, to synthesize findings and integrate perspectives. Additionally, I have facilitated multimodal neuroimaging studies by creating efficient experimental protocols for the simultaneous use of electroencephalography and transcranial electrical stimulation, navigating complex regulatory processes while always adhering to ethical practices. Effective communication and collaboration are at the core of my approach, allowing me to work seamlessly with colleagues from diverse backgrounds. My problem-solving abilities have been instrumental in overcoming complex challenges, and my commitment to data ethics and privacy ensures that research initiatives are conducted responsibly and with the utmost integrity. Some of my skills are listed below: Data Visualization \| Statistical Data Analysis \| Experimental Design & Research \| Computational Modeling \| Machine Learning & AI \| Forecasting & Benchmarking
Kyle Curham
Data Scientist | Cognitive Scientist | Engineer | Transforming Complex Data into Profound Insights for Data-Driven Decision-Making
Research Expertise
About
Publications
Logic Behind EEG Frequency Analysis
The Oxford Handbook of EEG Frequency / Sep 21, 2022
Curham, K. J., & Allen, J. J. B. (2022). Logic Behind EEG Frequency Analysis: Basic Electricity and Assumptions. In The Oxford Handbook of EEG Frequency (pp. 15–39). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780192898340.013.2
Wrist-mounted smartphone-based navigation device for visually impaired people using ultrasonic sensing
2016 Fifth ICT International Student Project Conference (ICT-ISPC) / May 01, 2016
Khampachua, C., Wongrajit, C., Waranusast, R., & Pattanathaburt, P. (2016, May). Wrist-mounted smartphone-based navigation device for visually impaired people using ultrasonic sensing. 2016 Fifth ICT International Student Project Conference (ICT-ISPC). https://doi.org/10.1109/ict-ispc.2016.7519244
Difference in Quality of Life during the Bone Healing Process in Patients with Upper or Lower Extremity Problems
Annual Global Healthcare Conference / Aug 27, 2012
Schmid, D., Lustenberger, J., & Hanson, B. (2012, August 27). Difference in Quality of Life during the Bone Healing Process in Patients with Upper or Lower Extremity Problems. Annual Global Healthcare Conference. https://doi.org/10.5176/2251-3833_ghc12.41
Brain activity diagnostics system for exoskeleton control
2022 6th Scientific School Dynamics of Complex Networks and their Applications (DCNA) / Sep 14, 2022
Khorev, V. (2022, September 14). Brain activity diagnostics system for exoskeleton control. 2022 6th Scientific School Dynamics of Complex Networks and Their Applications (DCNA). https://doi.org/10.1109/dcna56428.2022.9923241
Repetitive Transcranial Magnetic Stimulation (rTMS): A Large-Scale Retrospective Clinical Data Analysis Indicating rTMS as Effective Treatment for Generalized Anxiety Disorder (GAD)
Brain Stimulation / Nov 01, 2020
Morris, T., Engelbertson, A., & Guidice, W. (2020). Repetitive Transcranial Magnetic Stimulation (rTMS): A Large-Scale Retrospective Clinical Data Analysis Indicating rTMS as Effective Treatment for Generalized Anxiety Disorder (GAD). Brain Stimulation, 13(6), 1843. https://doi.org/10.1016/j.brs.2020.06.021
Abstract #116: Simulations of temporal interference tCS in a realistic head model
Brain Stimulation / Mar 01, 2019
Rampersad, S., Shayestehfard, K., Roig-Solvas, B., Yarossi, M., & Brooks, D. H. (2019). Abstract #116: Simulations of temporal interference tCS in a realistic head model. Brain Stimulation, 12(2), e40. https://doi.org/10.1016/j.brs.2018.12.123
On the Permanence Property in Spherical Spline Interpolation,
Nov 01, 1982
Freeden, W. (1982). On the Permanence Property in Spherical Spline Interpolation,. Defense Technical Information Center. https://doi.org/10.21236/ada126263
Brain Waves Meet Real Life: Recent Advances in Mobile EEG
Psychophysiology / Dec 01, 2018
Brain Waves Meet Real Life: Recent Advances in Mobile EEG. (2018). Psychophysiology, 55(S1). Portico. https://doi.org/10.1111/psyp.13244
Time‐Frequency, Source, and Connectivity Approaches to Study Dynamic Relations Between Monitoring, Control and Anxiety Across Development
Psychophysiology / Nov 12, 2017
Time‐Frequency, Source, and Connectivity Approaches to Study Dynamic Relations Between Monitoring, Control and Anxiety Across Development. (2017). Psychophysiology, 54(S1). Portico. https://doi.org/10.1111/psyp.12937
Multivariate Time-Series Brain Connectivity: A Sum-Up
Methods in Brain Connectivity Inference through Multivariate Time Series Analysis / Apr 19, 2016
Multivariate Time-Series Brain Connectivity: A Sum-Up. (2016). In Methods in Brain Connectivity Inference through Multivariate Time Series Analysis (pp. 261–268). CRC Press. https://doi.org/10.1201/b16550-23
Midline Frontal ERPS and Theta Phase Alignment
Psychophysiology / Aug 27, 2015
Midline Frontal ERPS and Theta Phase Alignment. (2015). Psychophysiology, 52(S1). Portico. https://doi.org/10.1111/psyp.12490
The Agony and the Ecstasy: Leveraging Physiological Indices of Reward and Threat Sensitivity to Improve Measurement of Clinical Phenomena
Psychophysiology / Jul 18, 2014
The Agony and the Ecstasy: Leveraging Physiological Indices of Reward and Threat Sensitivity to Improve Measurement of Clinical Phenomena. (2014). Psychophysiology, 51(S1). Portico. https://doi.org/10.1111/psyp.12276
Design of a quasi-passive knee exoskeleton to assist running
2008 IEEE/RSJ International Conference on Intelligent Robots and Systems / Sep 01, 2008
Dollar, A. M., & Herr, H. (2008, September). Design of a quasi-passive knee exoskeleton to assist running. 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems. https://doi.org/10.1109/iros.2008.4651202
Education
University of Arizona
Ph.D., Cognitive Neuroscience / January, 2022
University of Arizona
M.A., Psychology / May, 2017
Western Governors University
M.S., Data Analytics / November, 2023
University of South Florida
B.S., Mechanical Engineering / May, 2012
University of South Florida
B.A., Psychology / May, 2013
Experience
University of Arizona
Consulting Data Scientist / November, 2022 — November, 2023
Identify and elucidate effects of transcranial magnetic stimulation on resting-state electrophysiology to maximize understanding of neural responses and open avenues for exploring new applications of neurostimulation techniques in clinical / research settings. Perform advanced statistical analysis on collected resting-state electrophysiological data by employing techniques such as time-frequency analysis and connectivity measures.
Principal Investigator / August, 2019 — May, 2021
Facilitated multimodal neuroimaging studies by creating efficient experimental protocols for simultaneous use of electroencephalography and transcranial electrical stimulation.
Graduate Assistant / August, 2017 — January, 2022
Devised specialized software and hardware solutions to meet stringent regulatory and business requirements, positioning organization at forefront of technological innovation in meeting industry standards.
Teaching Assistant / August, 2014 — January, 2022
Guided students in practical application of quantitative techniques through courses in Measurement and Statistics, Research Methods, and Neuroeconomics. Delivered courses on Drugs, Brain, and Developmental Psychology to render holistic perspectives on complex interactions between brain function, substance use, and human development.
University of South Florida
Research Assistant / August, 2012 — May, 2024
Maximized integrity of the experimental process by strategically overseeing cognitive science experiments, from participant recruitment to acquisition of electrophysiological signals.
Research Assistant / August, 2011 — May, 2012
Conducted in-depth analysis to assess prosthetic dynamics and kinematics across diverse environmental conditions to assure functional adaptation and optimal performance of prosthetic solutions.
Volusia County Schools
Teacher / August, 2023 — Present
Teaching - Probability and Statistics
DataAnnotation.tech
AI Researcher / November, 2023 — Present
Provide High-fidelity training data for AI training and development; critique AI models for A/B testing.
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