About

I am a Postdoctoral Associate at MIT Sloan School of Management and the Schwarzman College of Computing's SERC program, working with Prof. Rahul Mazumder and Prof. Suzanne Flynn.

My research develops interpretable machine learning methods and statistical inference tools with applications in healthcare, finance, and public policy. Current focus areas include explainable AI, differential privacy, and Rashomon inference.

Previously, I was a Postdoctoral Research Fellow at Auburn University with Prof. Roberto Molinari, where I developed the DP-TOST framework for differentially private equivalence testing and led an NIH R21 grant proposal. Before that, I was a Research Officer & Manager at the Reserve Bank of India. I received my Ph.D. in Statistics from the Indian Institute of Technology Bombay.

Publications & Preprints

Journal Publications

  1. Equivalence Testing Under Privacy Constraints
    Pareek, S., Insolia, L., Molinari, R., and Guerrier, S.
    Statistics in Medicine, 2026  ·  Under Review
  2. Semiparametric Dynamic Copula Models using Rolling-window Portfolio Optimization
    Pareek, S. and Ghosh, S.
    Journal of Data Science, 2026  ·  Minor Revision
    PDF Code BibTeX
    @article{pareek2026copula, title = {Semiparametric Dynamic Copula Models using Rolling-window Portfolio Optimization}, author = {Pareek, S. and Ghosh, S.}, journal = {Journal of Data Science}, year = {2026} }
  3. Likelihood-based inference for skewed responses in a crossover trial setup
    Pareek, S., Das, K., and Mukhopadhyay, S.
    Communications in Statistics – Simulation and Computation, 2025
    PDF BibTeX
    @article{pareek2025likelihood, title = {Likelihood-based inference for skewed responses in a crossover trial setup}, author = {Pareek, S. and Das, K. and Mukhopadhyay, S.}, journal = {Communications in Statistics -- Simulation and Computation}, year = {2025} }
  4. The Effects of Psychosocial Stress on Surface Electromyography Signals of the Lower Leg During Isometric Contractions
    Eady, S., Ulloa, I. N., Pareek, S., and Zabala, M.
    Submitted, 2025
  5. Likelihood-based missing data analysis in crossover trials
    Pareek, S., Das, K., and Mukhopadhyay, S.
    Brazilian Journal of Probability and Statistics, 2023
    PDF BibTeX
    @article{pareek2023missing, title = {Likelihood-based missing data analysis in crossover trials}, author = {Pareek, S. and Das, K. and Mukhopadhyay, S.}, journal = {Brazilian Journal of Probability and Statistics}, volume = {37}, number = {2}, pages = {329--350}, year = {2023} }
  6. Clustering gene expression time series data embedded in a non-parametric setup
    Pareek, S., Khetan, M., Mukhopadhyay, S., and Das, K.
    Journal of Statistical Research (Special Issue), 2021
    PDF BibTeX
    @article{pareek2021clustering, title = {Clustering gene expression time series data embedded in a non-parametric setup}, author = {Pareek, S. and Khetan, M. and Mukhopadhyay, S. and Das, K.}, journal = {Journal of Statistical Research}, year = {2021} }

Policy & Book Chapters

  1. Capturing e-commerce transactions from the travel group of BPM6: An Indian experience
    Misra, A., Pareek, S., and Saggar, S.
    External Statistics in a Fragmented and Uncertain World, BIS Vol. 62, 2024
    PDF BibTeX
    @incollection{misra2024capturing, title = {Capturing e-commerce transactions from the travel group of {BPM6}: An Indian experience}, author = {Misra, A. and Pareek, S. and Saggar, S.}, booktitle = {External Statistics in a Fragmented and Uncertain World}, volume = {62}, publisher = {BIS}, year = {2024} }
  2. Freight costs of India's trade
    Biswas, D., Pareek, S., and Saggar, S.
    RBI Bulletin, 2022
    PDF BibTeX
    @article{biswas2022freight, title = {Freight costs of {India}'s trade}, author = {Biswas, D. and Pareek, S. and Saggar, S.}, journal = {RBI Bulletin}, year = {2022} }

Grants & Funding

  1. Personalizing Mental Disorder Diagnosis with Rashomon Inference
    MPI: Pareek, S. and Molinari, R. · Co-PI: Deshpande, G.
    NIH R21 Proposal · Submitted Oct 2025

Work in Progress

  1. Towards Scalable Gaussian Process Regression with a Moment-based Estimation Procedure
    Pareek, S., Voirol, L., and Molinari, R.
  2. Hypothesis Testing for Tectonic Velocities from Spatially Correlated GNSS Time Series
    Loureiro-Ferreira, T., Voirol, L., Pareek, S., Montillet, J.-P., and Guerrier, S.

Teaching

Auburn University — Instructor

  • Fundamentals of Statistical Inference I (STAT 5510/6610)  ·  Eval: 5.8/6.0
    Fall 2025
  • Introduction to Data Science (STAT 4000)
    Spring 2025
  • Probability & Statistics II (STAT 3610)
    Fall 2024

IIT Bombay — Teaching Assistant

  • Introduction to Probability (SI 427)
    Fall 2020
  • Regression Analysis (SI 422)
    Spring 2019, 2020

Contact

savita97@mit.edu| savy.pareek@gmail.com

MIT Sloan School of Management
Cambridge, MA 02142, USA

Miscellaneous

Outside of research, I enjoy tennis, running, and music. I am also a 500-hour-certified yoga trainer and a 1000-hour SKY Wellness Coach. More at savitapareek.com.

Website inspired by Anna Papp.