Additi Pandey

This is my personal webpage.

GitHub Profile LinkedIn Profile

My name is Additi Pandey. I am a PhD candidate at the Division of Applied Mathematics, Brown University. My current interests are in numerical analysis, operator learning, PIML and turbulence. I have previously worked in number theory and formalising mathematics (checkout my repositories Formalising Mathematics Project 1, 2, 3 as well as this). My Master's thesis, entitled "Quadratic & Cubic Reciprocity Laws" delved into the intricacies of the quadratic and cubic reciprocity laws, as well as primes of the form x2 + ny2.

I hold an ScM in Applied Mathematics from Brown University, an MSc in Pure Mathematics from Imperial College London, and a Bachelor of Science degree in Mathematics from Jesus and Mary College, University of Delhi. In addition to this, I attended a graduate summer school in 2021 at the Tata Institute of Fundamental Research and a summer school on AI and computer vision in 2023 at International Institute of Information Technology, Hyderabad. My research experience encompasses work in the areas of algebraic number theory, epidemic modeling, geometry, and group theory, which I have conducted at institutions such as Imperial College London, IIT Kanpur, Delhi University, and the Harish Chandra Research Institute in Allahabad.

Cognitive Neuroscience Mathematics Computer Science Other Works
Discovering the Nervous System Trapped in an Insanity Puzzle A Walkthrough of OOP Modern Portfolio Theory
Painless Introduction to Lambda Calculus Data Structures Introducing Neuroeconomics
Statistics for Data Science 1,2,3 Algorithm Analysis Psychology and Decision Making
I recently started a 'Wrapping My Head Around' series for concepts that I initially thought are hard but seem to trivial now: +++ I would love to hear from you!