Research

My research encompasses many topics, including causal inference, hypothesis testing, neuroscience, etc. You see my work by type below, or you can browse by topic or by year. A full list is also available on Google Scholar.

Publications

• High-Dimensional and Universally Consistent k-Sample Tests
  by Sambit Panda, Cencheng Shen, Ronan Perry, Jelle Zorn, Antoine Lutz, Carey E. Priebe, and Joshua T. Vogelstein
  in arXiv on October, 2023
• Partial or Complete Loss of Norepinephrine Differentially Alters Contextual Fear and Catecholamine Release Dynamics in Hippocampal CA1
  by Leslie R. Wilson, Nicholas W. Plummer, Irina Y. Evsyukova, Daniela Patino, Casey L. Stewart, Kathleen G. Smith, Kathryn S. Konrad, Sydney A. Fry, Alex L. Deal, Victor W. Kilonzo, Sambit Panda, Natale R. Sciolino, Jesse D. Cushman, and Patricia Jensen
  in Biological Psychiatry: Global Open Science on October, 2023
• Learning Interpretable Characteristic Kernels via Decision Forests
  by Sambit Panda, Cencheng Shen, and Joshua T. Vogelstein
  in arXiv on September, 2023
• Batch Effects Are Causal Effects: Applications in Human Connectomics
  by Eric W. Bridgeford, Michael Powell, Gregory Kiar, Stephanie Noble, Jaewon Chung, Sambit Panda, Ross Lawrence, Ting Xu, Michael Milham, Brian Caffo, and Joshua T. Vogelstein
  in bioRxiv on August, 2023
• FiPhA: An Open-Source Platform for Fiber Photometry Analysis
  by Matthew F. Bridge, Leslie R. Wilson, Sambit Panda, Korey D. Stevanovic, Ayland C. Letsinger, Sandra McBride, and Jesse D. Cushman
  in bioRxiv on July, 2023
• Learning Sources of Variability from High-Dimensional Observational Studies
  by Eric W. Bridgeford, Jaewon Chung, Brian Gilbert, Sambit Panda, Adam Li, Cencheng Shen, Alexandra Badea, Brian Caffo, and Joshua T. Vogelstein
  in arXiv on July, 2023
• Simplest Streaming Trees
  by Haoyin Xu, Jayanta Dey, Sambit Panda, and Joshua T. Vogelstein
  in arXiv on November, 2022
• The Chi-Square Test of Distance Correlation
  by Cencheng Shen, Sambit Panda, and Joshua T. Vogelstein
  in Journal of Computational and Graphical Statistics on January, 2022
• When Are Deep Networks Really Better than Decision Forests at Small Sample Sizes, and How?
  by Haoyin Xu, Kaleab A. Kinfu, Will LeVine, Sambit Panda, Jayanta Dey, Michael Ainsworth, Yu-Chung Peng, Madi Kusmanov, Florian Engert, Christopher M. White, Joshua T. Vogelstein, and Carey E. Priebe
  in arXiv on November, 2021
• hyppo: A Multivariate Hypothesis Testing Python Package
  by Sambit Panda, Satish Palaniappan, Junhao Xiong, Eric W. Bridgeford, Ronak Mehta, Cencheng Shen, and Joshua T. Vogelstein
  in arXiv on April, 2021
• Selective and Mechanically Robust Sensors for Electrochemical Measurements of Real-Time Hydrogen Peroxide Dynamics in Vivo
  by Leslie R. Wilson, Sambit Panda, Andreas C. Schmidt, and Leslie A. Sombers
  in Analytical Chemistry on January, 2018

Theses

• Multivariate Independence and K-Sample Testing
  by Sambit Panda
  in Johns Hopkins University on May, 2020

Misc

• Elucidating Relationships within Neurological Screening Batteries via Random Forest-Based Hypothesis Testing
  by Sambit Panda, Leslie R. Wilson, Jariatu Stallone, Dalisa Kendricks, Korey Stevanovic, and Jesse D. Cushman
  on July, 2023