About

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Contact Information

Email: scastro39 [at] ucmerced [dot] edu

Dr. Spencer Castro

Assistant Professor

Management of Complex Systems (MCS)

School of Engineering

University of California, Merced

Biography

Spencer Castro is an assistant professor at the University of California Merced in the Management of Complex Systems Department in the School of Engineering. He was formerly a Postdoctoral Fellow in the Underrepresented and Disadvantaged Scholars Program and a former National Science Foundation Pre-Doctoral Graduate Research Fellow (GRFP) at the University of Utah, working with Dr. David Strayer. Spencer was awarded the NSF GRFP for research on the capacity of attention under cognitive workload, particularly in the context of technology and multitasking. He focuses on the validity of reaction time and accuracy as measures of different aspects of workload, as well as quantifying the risk of adverse outcomes due to these workload metrics in driving. He employs advanced cognitive modeling techniques to examine the mechanisms of attentional capacity, multitasking, and performance. In a recent publication in the Journal of Experimental Psychology: Human Performance and Perception, Spencer and collaborators propose new mathematical models for analyzing reaction time data that capture the classically difficult tradeoff between speed and accuracy.

As a member of the Paiute and Southern Sierra Miwuk Nations, Spencer was awarded a Postdoctoral Fellowship for Underrepresented and Disadvantaged Scholars from the University of Utah to support his on-going research on cognitive modeling. Spencer is a strong advocate for minoritized groups and was the president of the Diversity G.A.P. (Graduate Application Preparation) at the University of Utah, which prepares underrepresented students to apply to graduate school.
| Former UDS Postdoctoral Fellow | Former NSF GRFP Predoctoral Fellow | Former UCSC Regents Fellow

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Contact Information

Email: zloh [at] ucmerced [dot] edu

Zoe Loh

Graduate Student

Management of Complex Systems (MCS)

School of Engineering

University of California, Merced

Biography

Zoe Loh is a Ph.D. student in the Management of Complex Systems department at the University of California Merced. She graduated with a B.S. in Cognitive Science and a minor in Psychology from the University of California Davis in June 2021. She was awarded a Provost Undergraduate Fellowship to conduct her honors thesis work on eye movement behavior and working memory. She is interested in studying visual attention and cognitive workload using eye tracking methods.


| Former Provost Undergraduate Fellow

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Contact Information

Email: dvafanejad [at] ucmerced [dot] edu

Donya Vafanejad

Graduate Student

Management of Complex Systems (MCS)

School of Engineering

University of California, Merced

Biography

Donya Vafanejad is a Ph.D. student in the Management of Complex Systems department at the University of California Merced. She graduated with a M.S. in Manufacturing Systems Engineering from California State University Northridge in 2015. She worked as a Design Engineer at Panasonic for five years. Her research interests are User Experience (UX) and human-computer interfaces.


| Donya's Portfolio

Undergraduate Research Assistants

Xavier Canas

Xavier is a 4th-year Cognitive Science major. His research interests are User Experience (UX) and learning about cognitive workload.

Kaylee Davis

Kaylee is a 4th-year Cognitive Science major with a minor in Applied Mathematics. Her research interests include brain-computer interfaces as well as attention and memory.

Former Lab Members

Isabella Quiroz

Bella received her Bachelor's degree as a Cognitive Science major with a minor in Management and Business Economics. Her research interests include cognitive decision-making, especially with physical and digital graphics/visuals.

Jessica Rodriguez

Jessica received her Bachelor's degree as a Cognitive Science major. She earned her A.A. in Psychology from Merced College before transferring to UC Merced. She is interested in research regarding attention and working memory.