Mathematician/Data Scientist deeply interested in learning and implementing multidisciplinary approaches to complex questions.
- M.A. in Mathematics from San Francisco State University
- Published thesis: Computational verification of the cone conjecture
- Research interest focused on in mathematical learning in virtual environments, with emphasis on applying Universal Design for Learning principles. This blends works from Learning Sciences, Disability Studies, UX design, VR/AR interactive design with mathematical disciplinary mastery.
- I'm currently keeping my math skillset sharp through practice by solving problems on Project Euler.
- I'm working on Curriculum Mapper, a visualization tool using NetworkX and BeautifulSoup to reverse engineer learning trajectories via prerequisite relationships in publicly accessible university bulletins.
- Baker, Bowen, et al. “Emergent Tool Use from Multi-Agent Autocurricula.” ArXiv:1909.07528 [Cs, Stat], 10 Feb. 2020, arxiv.org/abs/1909.07528.
- Leibo, J. Z., Hughes, E., Lanctot, M., & Graepel, T. (2019). Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research. ArXiv:1903.00742 [Cs, Q-Bio]. https://lnkd.in/gMKSMyiG
- Russell, S. J., & Norvig, P. (2022). Artificial Intelligence: A modern approach. Pearson.