PhD CMSE and Math at MSU | Data Scientist | Machine Learning
About
I am a PhD graduate from the Department of Computational Mathematics, Science and Engineering - CMSE and the Department of Mathematics at Michigan State University advised by Dr. Jose A. Perea. I obtained this degree with my thesis Applications of Persistent Cohomology to Dimensionality Reduction and Classification Problems.
Before MSU, I completed my MSc in Mathematics at Los Andes University in Bogota, Colombia and my BSc in Mathematics with a minor in Economy from the same institution. My master’s dissertation was advised by Dr. Andrés Angel and Dr. Jose A. Perea.
Interests
My research interests lays between algebraic topology, topological data analysis and computational mathematics and its many applications to data science, machine learning and signal processing.
My passion is to find interesting problems and data sets where the tools available in TDA can be used to find innovative solutions and models to describe the world around us.
Experience
Graduate Research Assistant at CMSE
Aug 2016 - May 2022
- Delved multiple highly competitive machine learning models using Topological Data Analysis.
- Created a dimensionality reduction algorithms using geometric information.
- Manipulated and analyzed various complex data sets including: protein information, vocal fold videos, 3D meshes.
- Presented research results to field experts in different conferences and meetings.
Graduate Teaching Assistant at CMSE
Aug 2016 - May 2022
- Developed interactive learning material for graduate level courses related to machine learning and data analysis.
- Assisted numerous groups to create models and make predictions on different types of data sets.
- Proved constant assessment and guidance on modeling and machine learning projects.
Contact
- Email: polanco2@msu.edu
- Alternative Email: luispolancocontreras@@gmail