Josiah March
Applied Mathematics & Statistics + Economics @ Johns Hopkins
I build quantitative models to understand complex systems and improve decision-making.
I’m interested in operations research, optimization, applied machine learning, and data science, with experience in macroeconomic forecasting research at Johns Hopkins.
What I Work On
Optimization & Operations Research
Formulating real-world decision problems mathematically and using optimization to find better decisions under constraints.
Applied Data Science & ML
Building statistical and machine-learning models that extract information from complex data and generate useful predictions.
Statistical Modeling and Research
Using statistical methods, computation, and experimentation to understand complex systems and evaluate quantitative models.
Featured Work
Macroeconomic Forecasting with Machine Learning
Research Assistant · Johns Hopkins University
Replicating a machine-learning framework for probabilistic macroeconomic forecasting, from FRED-MD data processing through linear and deep neural network quantile models.
PyTorch Time Series Analysis Machine Learning Econometrics
Gradient Descent Visualizer
Interactive Shiny for Python app for exploring how objective functions, learning rates, and starting points affect gradient descent convergence.
Optimization Mathematical Modeling Python
Exponentially-Fitted Simpson’s Rule
Developed and tested a modified Simpson’s rule that incorporates exponential discounting to improve numerical integration of present-value cash flow models.
Numerical Methods Scientific Computing Python
About Me
I’m a junior at Johns Hopkins University studying Applied Mathematics & Statistics and Economics and pursuing an M.S.E. in Applied Mathematics & Statistics.
I’m especially interested in problems where data and mathematical modeling can uncover useful insights, improve efficiency, or help people and organizations make better decisions. Whether that means developing predictive models as a data scientist, optimizing how resources are allocated, or using quantitative methods to improve real-world systems, I am dedicated to applying my technical background to make a tangible impact.
Outside of academics and research, I’m a D3 NCAA swimmer at Johns Hopkins. Balancing athletics with research and coursework has shaped my time management skills and discipline like nothing else.
Let’s Connect
I’m currently exploring internship opportunities in operations research, optimization, applied data science, machine learning, and applied AI research. I welcome any inquiries, questions, or tips. Thanks for visiting my website!