Experience

  1. Staff Quantitative Researcher

    Meta
    I analyze billions of user interactions to distill complex data into clear, actionable product strategies. My expertise lies in transforming large-scale data insights directly into impactful product decisions.
  2. Data Scientist

    C. Light Technologies, Inc.
    I developed the core software algorithms powering an advanced retinal scanning system, enabling accurate detection and filtering of low-quality medical images. My work directly enhanced the device’s diagnostic precision and reliability.
  3. Research Scientist

    The University of Texas at Austin

    Built and validated large-scale computational models of cortical circuits to probe memory, attention, and decision-making.

    Secured competitive grant funding and co-authored numerous peer-reviewed publications and conference presentations that advanced the field of cognitive neuroscience.

  4. Data Scientist

    The Edinburgh Journal Ltd
    I predicted tomorrow’s news trends to help readers connect deeply with their city. By building analytics that anticipated demand, my work directly boosted the Journal’s readership.
  5. Research Scientist

    Mediative

    Ran EEG- and eye-tracking studies to map attention and emotion to ad performance and in-store behavior.

    Converted neural signals into predictive models of click-through and purchase intent, shaping campaign and site-design decisions for major retail and tech clients.

    Published industry whitepapers and presented findings at neuromarketing conferences, elevating Mediative’s market profile.

  6. Data and Research Science Intern

    Natural Sciences and Engineering Research Council of Canada (NSERC)
    Supported research initiatives in Vancouver, BC, combining data analysis with experimental design to advance scientific discovery.

Education

  1. B.A. (Hons) in Cognitive Science

    Simon Fraser University
    B.A. (Hons) in Cognitive Science, Simon Fraser University (2009).
  2. Ph.D.

    University of Edinburgh
    Ph.D., University of Edinburgh (completed 2015).
Skills & Hobbies
Technical Skills
Python & PyTorch
Machine Learning
Cloud Computing (AWS/GCP)
Hobbies
Hiking in the Rockies
Building Custom PCs
Sci-Fi Reading
Awards
Best Paper Award
NeurIPS ∙ December 2022
Awarded for groundbreaking work on efficient training of large models.
AI Innovation Grant
National Science Foundation ∙ June 2021
$500,000 grant for research in ethical AI development.
Outstanding PhD Thesis
Stanford University ∙ June 2019
Recognized for contributions to scaling laws in deep learning.
Languages
100%
English
50%
Spanish