Nikola B. Kovachki


Graduate Student,
Applied and Computational Mathematics,
Computational and Mathematical Sciences,
California Institute of Technology

About


I am a second year graduate student at Caltech pursuing a Ph.D. in Applied and Computational Mathematic. My adviser is Professor Andrew M. Stuart. I was born in Sofia, Bulgaria in 1993 and obtained a B. Sc. in Mathematics from Caltech in 2016. I am especially interested in rigorous theories of machine learning and ai, deep learning, applied and foundational probability theory, PDE modeling, dynamical systems, Bayesian data assimilation and inverse problems, functional analysis, as well as any beautiful mathematics useful or otherwise. One can view my CV if interested.

I also enjoy spending time with my wife and dog, travelling, hiking, cooking, baking, and programming.

Undergraduate Works


Kovachki N. Mathematical Methods in Coding Theory: Tree Codes. SURF Presentation. California Institute of Technology. (2015) PDF

Anemogiannis A., Kovachki N. Volatility Dynamics of Financial Bubbles. CS 145 Technical Report. California Institute of Technology. (2015) PDF

Dawra N., Kovachki N., Lew A., Mills W., Ni X. Sentiment Analysis. Ma 191 Technical Report. California Institute of Technology. (2015) PDF

Kovachki N. On the Intersection of Secant Sets in the Hill Cap. SURF Report. California Institute of Technology. (2013) PDF

Teaching Assistantships


Fall 2016. Introduction to Probability Models (ACM/EE 116). Applied and Computational Mathematics/Electrical Engineering. California Institute of Technology. Instructor: Konstantin Zuev

Fall 2016. Technical Seminar Presentations (E 10). Engineering. California Institute of Technology. Instructor: Anthony Fender

Spring 2016. Technical Seminar Presentations (E 10). Engineering. California Institute of Technology. Instructor: Anthony Fender

Contact


Annenberg Center for Information Science and Technology
Office: 333
MC 305-16
Pasadena CA 91125