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Siddharth Vishwanath

Ph.D. Student
Siddharth Vishwanath
Biography

Siddharth Vishwanath is a Ph.D. student in the Department of Statistics at Penn State. 

Siddharth graduated from the Indian Institute of Technology, Kanpur in 2015 with an M.Sc.(Integrated) in Mathematics. Prior to joining Penn State, he worked as a Quantitative Researcher at Goldman Sachs, and as a Model Validation Quant at Nomura. 

His research interests are broadly in the areas of:

  • Topological Data Analysis: Statistical behaviour of Betti numbers, statistical inference from topological summaries, robust topological inference
  • Statistical Learning Theory: Reproducing kernel Hilbert spaces in probability and statistics, empirical processes, generative models

Roles

Research Assistant at the Statistical Consulting Center (2019 - Present)

Graduate Teaching Assistant at the Department of Statistics (2017 - 2019)

 

Academic Milestones 

  • Proficiency Medal for Outstanding Dissertation, Indian Institute of Technology, Kanpur, 2015
  • Academic Excellence Award, Indian Institute of Technology, Kanpur, 2015
  • KVPY Fellowship, Department of Science and Technology, Government of India, 2010-2015

 

Research

Robust Persistence Diagrams using Reproducing Kernels

Siddharth Vishwanath, Kenji Fukumizu, Satoshi Kuriki and Bharath Sriperumbudur

Advances in Neural Information Processing Systems (NeurIPS 2020)

 

Statistical Invariance of Betti Numbers in the Thermodynamic Regime

Siddharth Vishwanath, Kenji Fukumizu, Satoshi Kuriki and Bharath Sriperumbudur

arXiv Preprint (2020)

 

Bayesian inference and optimal censoring scheme under progressive censoring

Siddharth Vishwanath and Debasis Kundu

Advances in Reliability and System Engineering (2017)

 

Ph.D. Advisor

Dr. Bharath Sriperumbudur

 

Personal Website

sidvishwanath.com