Full CV (updated February 2024): Curriculum Vitæ
Educational Background
- PhD in Linguistics: University of Wisconsin - Milwaukee (Ongoing)
- MA in Linguistics: University of Wisconsin - Milwaukee
- MSc Honors College Certificate in Theoretical Physics: Universiteit Utrecht
- BSc with Majors in: Physics, Astronomy, Mathematics, Linguistics, and Anthropology - University of Wisconsin - Madison. Proud to have set a university record with this quintuple major.
Professional Interests
- Linguistics
- ellipsis; double object constructions; transitivity mismatches; case stacking; construction grammar; scope; binding; degree and comparison; typology; language change; formal logic; mathematical models; model theory;
- Natural Language Processing
- formal logic; mathematical models; model theory; ellipsis, anaphora, coreference resolution; machine learning methods for language processing; human language technologies; human-computer interaction
- Artificial Intelligence
- neural networks; natural language processing; explainable artificial intelligence; geometric neural networks; graph neural networks
- Physics
- gravitational physics; black hole physics; early universe physics; topological defects; quantum field theory in curved spacetime
- Mathematics
- differential geometry; geometric PDEs; geometric flows; Ricci flow; operator theory; formal logic; model theory
- Anthropology
- writing systems; calendrical systems; archaeoastornomy; power and social relations; gender; ethnoarchaeology
Graduate Coursework
- Linguistics
- Phonetics; Phonology; Morphology; Syntax; Semantics; 2nd Language Acquisition; Seminar: Ellipsis; Typology and Universals; Historical and Comparative Linguistics; Seminar: Research Methods; Seminar: Double Object Constructions; Advanced Phonetics; Advanced Phonology; Advanced Syntax; Advanced Semantics; Foundations of Formal Logic
- Computer Science
- Machine Learning and Applications; Introduction to Natural Language Processing; Introduction to Artificial Intelligence; Artificial Intelligence in Business; Advanced Machine Learning
- Physics
- Quantum Field Theory; Statistical Field Theory; General Relativity; String Theory; Field Theory in Particle Physics; Cosmology; Radiative Processes; High Energy Astrophysics
- Mathematics
- Differential Geometry of Curves and Surfaces; Differential Geometry; Geometric Partial Differential Equations; Mathematical Methods in Theoretical Physics