Talk, PhD Exit Seminar, University of California, Davis, Davis, CA, USA
This PhD exit seminar presented research exploring how machine learning techniques can enhance our understanding of scalp-recorded electrophysiological signals in the context of working memory and decision-making.
Poster, Society for Neuroscience Annual Meeting, Washington, DC, USA
Talk, Knight Lab Seminar, University of California, Berkeley, Berkeley, CA, USA
Gave a research talk to the Knight Lab at UC Berkeley focused on how multivariate EEG decoding techniques can be applied to investigate memory reinstatement and credit assignment in decision-making contexts. This talk built on previous work comparing univariate and multivariate ERP approaches but shifted emphasis toward learning dynamics and cognitive control.
Talk, Cognitive Brain Sciences Early Career Seminar Series, University of Nevada, Reno, Reno, NV, USA
This talk provided an overview of how multivariate EEG decoding approaches are transforming ERP research and enabling new insights into cognitive processes that are difficult to capture through traditional averaging techniques. I began by reviewing recent advances in the use of multivariate methods (e.g., SVM decoding, cross-validated Mahalanobis distance) to extract information from scalp voltage patterns.
Poster, Society for Neuroscience Annual Meeting, San Diego, CA, USA
Talk, Cognitive Neuroscience Society Annual Meeting, San Francisco, CA, USA
Presented preliminary findings suggesting that rare, task-relevant stimuli — typically evoking a P3b component — are preferentially encoded in working memory. This talk highlighted behavioral and electrophysiological evidence showing that oddball stimuli elicit stronger working memory representations compared to frequent stimuli.
Poster, Society for Neuroscience Annual Meeting (Virtual), Virtual
Talk, UC Davis EEG Consortium Meeting, Davis, CA, USA
Presented to the UC Davis EEG Consortium, a group of researchers meeting monthly to discuss topics in human electrophysiology. This talk shared preliminary results comparing traditional ERP averaging methods to multivariate pattern analysis (MVPA) techniques, including support vector machine (SVM) decoding and cross-validated Mahalanobis distance.
Talk, Berryhill Lab Seminar, University of Nevada, Reno, Reno, NV, USA
Gave a lab seminar to the Berryhill Lab covering a broad methodological overview of human electrophysiology across multiple spatial scales. The talk traced my work beginning with single-unit recordings in humans, progressing through projects involving local field potentials (LFPs), and culminating in noninvasive scalp EEG recordings.
Talk, Ronald E. McNair Scholars Symposium, UC Berkeley, Berkeley, CA, USA
Presented research conducted during the McNair Scholars summer program at the University of Nevada, Reno in Marian Berryhill’s lab. This talk explored whether behavior could be influenced by jittering stimulus presentation times to align with the brain’s intrinsic oscillatory cycles—particularly within the alpha frequency band.
Poster, Nevada Undergraduate Research Symposium, University of Nevada, Reno, Reno, NV, USA
Poster, Psi Chi Annual Research Symposium, University of Nevada, Reno, Reno, NV, USA