top of page
1894940_7561.jpg

Publications

Publication.gif

Journal Articles

  1. Pareek, S. & Ghosh, S. (2026). Semiparametric Dynamic Copula Models for Portfolio Optimization. Journal of Data Science. Under Review [copula]

  2. Pareek, S., Insolia, L., Molinari, R., & Guerrier, S. (2026). Equivalence Testing Under Privacy Constraints. Statistics in Medicine, Under review.

  3. Pareek, S., Das, K., & Mukhopadhyay, S. (2025). Likelihood-based inference for skewed responses in a crossover trial setup. Communications in Statistics – Simulation and Computation. [cssc]

  4. Eady, S., Ulloa, I. N., Pareek, S., & Zabala, M. (2025). The Effects of Psychosocial Stress on Surface Electromyography Signals of the Lower Leg During Isometric Contractions. Submitted.

  5. Pareek, S., Das, K., & Mukhopadhyay, S. (2023). Likelihood-based missing data analysis in crossover trials. Brazilian Journal of Probability and Statistics. [bjsps]

  6. Pareek, S., Khetan, M., Mukhopadhyay, S., & Das, K. (2021). Clustering gene expression time series data embedded in a non-parametric setup. JSR (Special Issue). [JSR]

Policy & Book Chapters

  1. Misra, A., Pareek, S., & Saggar, S. (2024). Capturing e-commerce transactions from the travel group of BPM6: An Indian experience. In External Statistics in a Fragmented and Uncertain World (Vol. 62). [BIS]

  2. Biswas, D., Pareek, S., & Saggar, S. (2022). Freight costs of India’s trade. RBI Bulletin. [RBI]

​

Grants & Funding

NIH R21 Proposal (2025) MPI: S. Pareek & R. Molinari Co-PI: G. Deshpande Personalizing Mental Disorder Diagnosis with Rashomon Inference. Submitted, October 2025.

​

Selected Work in Progress

  1. Pareek, S., Voirol, L., & Molinari, R. Towards Scalable Gaussian Process Regression with a Moment-Based Estimation Procedure.

  2. Loureiro-Ferreira, T., Voirol, L., Pareek, S., Montillet, J.-P., & Guerrier, S. Hypothesis Testing for Tectonic Velocities from Spatially Correlated GNSS Time Series.

Honors  & Awards

trophy.gif

Research Awards
•Early Career Scholarship, Symposium on Data Science and Statistics (SDSS) - 2025
•NSF Travel Award, IISA Conference - 2024​
• Young Scientist Award, Society of Statistics, Computer & Applications, India - 2024
• CWS Prof. Suddhendu Biswas Student Travel Award - 2023
• IISA Student Travel Award - 2022
• Gold medal for Best Student, Banasthali University, India - 2016

Professional Activity Awards
• Certificate of Excellence, RBI Induction Program, RBSC, India - 2023
• Institute Organizational Special Mention, IIT Bombay, India - 2021
• Institute Sports Color, IIT Bombay, India - 2021
• Best Office Bearer, Hostel 11, IIT Bombay, India - 2020
• Player of the Year, Department of Mathematics, IIT Bombay, India - 2019

Competitive Exams
• 3rd in RBI Officer Exam (Statistics): among 200k - 2020
• 6th in GATE (Mathematics): among 6k - 2017
• 24th in CSIR-NET (Mathematical Sciences): among 40k - 2017

Post Doc Research

Ph.D. Research Projects

research.png

Mixed Effects Models (MEM) for Crossover Data
• Devised methods for analyzing crossover trials with incomplete or skewed data distributions using MEM.
• Applied Monte Carlo Expectation Maximization (MCEM) within MEM for maximum likelihood estimation of parameters with missing or skewed data.
•  Illustrated statistical modelling and estimation using gene expression data from a 3 ×3 crossover study.

Clustering Multiple Time-series Data
•  Developed model-based gene expression time series clustering using MEM and non-parametric Dirichlet processes to capture temporal effects.
•  Analyzed gene expression data from antibiotic-producing Streptomyces coelicolor using these techniques.

bottom of page