Hi, I'm
Kiran Shay
Teaching Machines to Understand Biology
Neuroscience and Computer Science student at Johns Hopkins University. I build machine learning systems that help us understand the brain and biological processes.
What I Do
Computational Neuroscience
Building models to decode neural signals and understand brain function through machine learning.
Healthcare ML
Developing classifiers for neurological disorders using wearable sensor data and time-series analysis.
Stochastic Modeling
Using probability, simulation, and optimization to solve complex real-world problems.
Featured Work
Baseball Lineup Optimizer
Built with the Johns Hopkins University Sports Analytics Research Group under Dr. Anton Dahbura. Probabilistic lineup optimization using Markov-style transitions and Monte Carlo simulations. Developed BRP (Baserunner-Dependent Net Run Production), a custom metric for expected run contribution.
2025 JHU Design Day Digital Vanguard Award
Interactive: Train a Neural Network
Watch a neural network learn logic gates in real-time!
Click hidden neurons to perturb weights. Watch the decision boundary evolve as the network learns!