Matthew L
- Research Program Mentor
PhD candidate at California Institute of Technology (CalTech)
Expertise
machine learning, mathematical modeling, data science, time-series analysis, dynamical systems
Bio
I'm a graduate student in computing and mathematical sciences, which means I'm excited about designing and using computational tools to solve real-world problems. Much of my research has focused on applying data science methods to biomedical domains (e.g. hospital data). My graduate work is focused on general ways of blending knowledge-driven mechanistic models with data-driven machine learning methods. I like spending my free time outside. I play competitive tennis, and go skiing as often as I can. I love music, especially rock and blues.Project ideas
Project ideas are meant to help inspire student thinking about their own project. Students are in the driver seat of their research and are free to use any or none of the ideas shared by their mentors.
What is Machine Learning?
In this project, I can help guide the student through a simple exploration of machine learning. We can discuss what they are most curious about, and can have a custom plan for how to deeply understand the necessary mathematics, so that they can code the methods on their own.
Coding skills
python, Matlab, R, shell scriptingLanguages I know
Spanish, fluentTeaching experience
I have mentored students on topics in machine learning and applied math. Recent examples of projects include guiding students through building their own neural network from scratch and helping students learn about chaos through explorations of the simple, yet beautiful logistic map. I have also been a Teaching Assistant for courses on machine learning, data-driven modeling, and inverse problems and data assimilation.Credentials
Work experience
Columbia University Medical Center (2015 - 2018)
Research Associate in Biomedical InformaticsEducation
Columbia University
BA Bachelor of Arts (2015)
BiophysicsCalifornia Institute of Technology (CalTech)
PhD Doctor of Philosophy candidate
Computing and Mathematical Sciences