Boyao Zhu

646-***-**** # ad3pm2@r.postjobfree.com ï boyao-zhu § boyaozhu « zhuboyao

Education

Michigan State University Lansing, MI

Ph.D. in Physics Aug. 2017 – Dec. 2023

Dual Ph.D. in Computational Mathematics, Science & Engineering Aug. 2017 – Dec. 2023 Rutgers University New Brunswick, NJ

M.S. in Financial Mathematics Aug. 2015 – May 2017 Stony Brook University Stony Brook, NY

B.S. in Physics & Mathematics Aug. 2012 – May 2015 Experience

Postdoctoral Associate Sep. 2023 – Present

Facility for Rare Isotope Beams Lansing, MI

• Implemented advanced tensor decomposition methods to further optimize computational efficiency in IMSRG for nuclear Hamiltonian evolution.

Research Assistant Jun. 2018 – Sep. 2023

Michigan State University Lansing, MI

• Applied (Randomized) Singular Value Decomposition techniques to enhance computational efficiency IN SRG/IMSRG for nuclear Hamiltonian evolution.

Teaching Assistant Aug. 2017 – May. 2018

Michigan State University Lansing, MI

• Provided support and oversight alongside professors to help ensure safety and quality learning for all students.

• Tutored students one-on-one as they studied or worked on homework after school. Projects

Car Accident Severity

• Engineered a machine learning model to predict car accident severity based on 40 factors, leveraging Logistic Regression, Random Forest, KNN, and SVM.

• Managed a substantial dataset, applying effective preprocessing techniques.

• Achieved 85% accuracy, led algorithm selection, fine-tune. Numerical Solution for American Put Option under Heston-CIR Model

• Developed a numerical solution for pricing American put options under the Heston-CIR model by solving the 4 dimensional PDE using finite difference methods.

• Implemented the Alternating Direction Implicit method to discretize the PDE in time and space.

• Utilized the Yanenko method to obtain higher order accuracy in space discretization. Ising Model MCMC Simulation

• Engineered a MCMC algorithm for 2D lattice Ising model simulation, examining ferromagnetic behavior.

• Investigated temperature-dependent phase transitions, analyzing magnetization and critical phenomena.

• Validated outcomes against analytical solutions, optimized code for efficiency, and explored parallelization for scalability.

• Applied Convolutional Neural Network to analyze Ising model configurations on a 2D lattice. Credit Card Application and Machine Learning

• Engineered credit card approval model with 20 features, applying logistic regression, and neural networks.

• Conducted thorough data preprocessing and analysis, optimizing performance through feature selection and hyperparameter tuning.

Technical Skills

Skill Sets: Numerical Simulations, Scientific Computing, Parallel Computing, Derivative Pricing Data Science: PCA, KNN, SVM, Regression, ANN, CNN, NoSQL, Spark, Hadoop, Apache Spark Statistics: Statistical models, Probability, Bayesian Inference, Estimator, Hypothesis test, Stochastic Calculus Programming: Python, C/C++, MatLab, OpenMP, MPI, SAS, GNU/Linux, Git, LATEX

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