Hannah Lum Smith

Bio

With a Bachelor’s in Biology and Psychology and a Master's degree in Cognitive Neuroscience, I specialize in the fields of visual attention, perception, and cognition. Currently, my PhD research focuses on investigating predictive processing.

Conferences

2024- Psychonomics 65th Annual Meeting, New York City, NY, USA, Poster

2024- Psychonomics 65th Annual Meeting, New York City, NY, USA, Poster

  • Title: Putting It Into Context: Semantic Knowledge Influences Statistical Learning in Visual Search​

    Authors: Laura Sikun Li, Hannah Lum Smith, Karolina Krzyś, Laura Sikun Li, Carrick C. Williams & Monica S. Castelhano, Queen’s University, California State University, San Marcos

2023- Psychonomics 64th Annual Meeting, San Francisco, CA, USA, Poster

2023- Vision Sciences Society, St. Pete’s Beach, FL, USA, Talk

  • Title: Expectations Versus Reality: The Effect of Semantic Knowledge on Statistical Learning

    Authors: Laura Sikun Li, Hannah Lum Smith, Karolina Krzyś, Carrick C. Williams & Monica S. Castelhano, Queen’s University, California State University, San Marcos

2023- Annual Lake Ontario Visionary Establishment (L.O.V.E), Niagara Falls, ON, CAN, Poster

  • Expectations Versus Reality: The Effect of Semantic Knowledge on Statistical Learning

    Authors: Laura Sikun Li, Hannah Lum Smith, Karolina Krzyś, Carrick C. Williams, & Monica S. Castelhano, Queen’s University, California State University, San Marcos

2022- Object Perception, visual Attention, & visual Memory (OPAM), Boston, MA, USA, Attendee

2022- Psychonomics 63rd Annual Meeting, Boston, MA, USA, Attendee

Education

2024-2028: PhD Student, Cognitive Neuroscience, Queen’s University, Kingston, Ontario

2022-2024: Masters of Science, Psychology, Queen’s University, Kingston, Ontario

2016-2020: Bachelor of Science, Specialization in Biology and Psychology, Queen’s University, Kingston, Ontario

Work Experience

2019-Current: Research Associate, Conservation Lab, Queen’s University

2020-2022: Lab Coordinator and Research Associate, Queen's Visual Cognition Lab, Queen’s University

2018-2018: Research Associate, Attention Lab, Queen’s University

Technical Experience

Software: Experiment Builder, Inquisit, Adobe Illustrator, Adobe Photoshop, EEGlab, Blender, Unity , E-Prime

Hardware: EEG system (EGI), eye tracking system (Eyelink), virtual reality system (HTC Vive)

Programming Languages: Python, Matlab, HTML

Leadership and Extracurriculars

2024-Present: Perception Research and Artificial Intelligence Development (PRAID) Workshop Organizer, Queen’s University

  • Planned and executed an interdisciplinary conference/workshop (April 26th - April 29th, 2024) between leading researchers in Neuroscience, Philosophy and Computing to help educate about the fundamental gap between the capabilities of AI systems to gather information and their ability to discern what is truly relevant in a dynamic environment.

2023-Present: Events & Social Media Coordinator, Women in Neuro (WiN), Queen’s University

  • Manage our online presence, create engaging content, and implement social media strategies. Planned and executed the first Women in Neuro Conference on March 23rd, 2024

2023-Present: Webmaster, Association of Graduate Students Psychology (AGSIP), Queen’s University

  • Maintain and optimize our website, ensuring it remains up-to-date anduser-friendly