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Teaching Assistant
Applied Research Scientist at UC Santa Cruz developing Bayesian methods to infer reaction times and subjective thresholds from noisy data.
United StatesTeaching Assistant at University of California, Santa Cruz
University of California, Santa Cruz
Supported instruction in Linear Algebra, Probability & Statistics, Mathematical Modeling, and Computational Methods, guiding students in MATLAB-based numerical simulations.
MatlabLinear AlgebraProbabilityStatisticsMathematical ModelingNumerical Methods
Instructed courses in Linear Algebra, Probability & Statistics, Mathematical Modeling, and Computational Methods, and conducted office hours and academic support.
MatlabLinear AlgebraProbabilityStatisticsMathematical ModelingNumerical Methods
University of California, Santa Cruz
Developed adaptive Bayesian frameworks and probabilistic models for noisy behavioral data, and designed Monte Carlo simulations to evaluate estimator performance. Benchmarked statistical estimators against CNN models and collaborated across disciplines.
PythonMatlabRLinuxSlurmHPCNumPyScipyscikit learnPandasPyTorchBayesian Inference (PyMC)Monte Carlo SimulationsStatistical InferenceProbabilistic ModelingMaximum Likelihood Estimation
Conducted applied mathematical research in graph theory and nanoscale structures, developing analytical and computational optimization methods for large graph-based systems.
Graph TheoryMathematical ModelingOptimizationResearch
Ph.D. Candidate in Applied Mathematics, expected to complete in December 2026.
Ph.D. Candidate in Applied Mathematics, expected to complete in December 2026.
Completed an AI and Machine Learning Certificate, including training neural networks and completing end-to-end ML projects.
M.A. in Applied Mathematics and Statistics with a thesis on hearing loss injury risk from impulse noise sequences.
M.Sc. in Pure Mathematics with a focus on graph theory, thesis on optimal routings in orbital regular graphs.
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