• Geodesic Regression
  A generalization of regression in Euclidean space to Riemannian Manifolds. The articles also discusses some basic concepts of Riemannian Geometry before going on to formulate a regression problem in such manifolds.
  Published in TowardsDataScience
  


• Principal Geodesic Analysis
  Explanation on how to obtain principal geodesics for data lying in a general Riemannian Manifold. This can be seen as a dimensionality reduction technique for manifold-valued data, analogous to Principal Component Analysis (PCA) in Euclidean space.
  Published in TowardsDataScience
  


• A soft Intro to General Relativity
  The article provides an insight on the fundamentals of Einstein's Theory of General Relativity by explaining the basic phenomenons of gravity from a relativistic perspective.