Research Interests

I am interested in deep learning in image processing and applications of geometry to image science, data science, and statistics. In particular I am interested in deep learning techniques in medical imaging and in how geometric and algebraic tools can aide in understanding objects represented by continuous, discrete, or noisy data.

Publications and Preprints

2

Other work

Links for slides and maple code

Thesis

Where you can find me

Nov. 2021 - Moving Frames and their Modern Applications (BIRS)

Aug. 2021 - SIAM Conference on Applied Algebraic Geometry (Texas A&M)

Aug. 2020 - Geometry of curves in time series and shape analysis (MPI MiS - online)

Oct. 2020 - Graphical Models Workshop (TU Munich)

Sep. 2019 - Macaulay2 Workshop (Universität des Saarlandes)

Apr. 2019 - Meeting on Applied Algebraic Geometry (Georgia Tech)

Feb. 2019 - Algebraic Vision Research Cluster at ICERM (Brown University)

Jan. 2019 - Joint Mathematics Meetings (Baltimore, MD)

Fall 2018 - Nonlinear Algebra at ICERM (Brown University)

June 2018 - Applications of Polynomial Systems (Texas A&M)

Apr. 2018 - Meeting on Applied Algebraic Geometry (Georgia Tech)