Curriculum Vitae

Debjoy Thakur, Ph.D.

Assistant Professor
Ahmedabad University, India

Spatial Statistics · Statistical Learning · Spatial Extremes · High-Dimensional Modeling · Variational Inference

Contact & Academic Profiles

Office

GICT 220
Ahmedabad University
Ahmedabad, India

Research Interests

High-Dimensional Spatial Variable Selection Statistical Learning Theory Spatial Extremes Spatial Genomics fMRI Data Analysis Network Data Variational Inference

Academic Appointments

July 2026 – Present

Assistant Professor

Ahmedabad University, India

August 2023 – June 2026

Postdoctoral Lecturer

Washington University in St. Louis, USA

Research: Spatial variable selection, neural networks, and spatial extremes.

Mentor: Prof. Soumendra N. Lahiri

March 2023 – July 2023

Visiting Scientist

Indian Statistical Institute, Kolkata, India

Research: Backfitting and generalized additive models.

Mentor: Prof. Smarajit Bose

Education

2019 – 2023

Ph.D. in Statistics

Indian Institute of Technology Tirupati, India

Dissertation:
Advancements of Space-Time Modeling in Environmental Statistics

Specialization: Spatial Statistics

CGPA: 8.75

Supervisor: Prof. Ishapathik Das

2017 – 2019

M.Sc. in Statistics

Banaras Hindu University, India

Specialization: Statistics and Computing

CGPA: 8.11

2014 – 2017

B.Sc. in Statistics

University of Calcutta, Kolkata, India

Major: Statistics

Percentage: 59.5

Teaching Experience

Semester Course Students Median Review
Fall 2023 MATH 434 — Survival Analysis 11 4.2 / 5
Spring 2024 MATH 439 — Linear Models 44 4.4 / 5
Spring 2024 MATH 493 — Probability 19 4.3 / 5
Fall 2024 SDS 434 — Survival Analysis 8 4.3 / 5
Spring 2025 SDS 495 — Stochastic Process 49 4.3 / 5
Fall 2025 SDS 4120/5120 — Survival Analysis 22 4.5 / 5
Spring 2026 SDS 4070/5070 — Stochastic Process 26 4.8 / 5

Selected Publications

  1. Thakur, D. (2026). “Variational Approximated Restricted Maximum Likelihood Estimation for Spatial Data.” Statistics and Probability Letters, accepted. Preprint
  2. Thakur, D., Das, I., & Chakravarty, S. (2023). “A spatial copula interpolation in a random field with application in air pollution data.” Modeling Earth System and Environment.
  3. Thakur, D., Bhattacharya, S., & Das, I. (2022). “Uni-variate and Bi-variate Inverted Exponential-Teissier Distribution in Bayesian and Non-Bayesian framework to Model Stochastic Dynamic Variation of Climate data.” Theoretical and Applied Climatology.
  4. Thakur, D. & Das, I. (2022). “Statistical assessment of Spatio-temporal impact of COVID-19 lockdown on air pollution using different modeling approaches in India, 2019–2020.” Regional Statistics.

View complete publication list →

Current & Submitted Research

  1. Thakur, D. & Lahiri, S. “Multi-Resolution Analysis of Variable Selection in Spatial Intensity Function for Risky Road in St. Louis.” Revised and resubmitted. Preprint
  2. Thakur, D., Zhao, L., & Bandyopadhyay, S. “Local Variable and Neighborhood Selection in Spatial Firearm Fatality in Southeastern USA.” Preprint

Research in Preparation

  • Thakur, D. & Mateu, J. “Spatial Point Process for Noisy Locations on Riemannian Manifold.”
  • Thakur, D., Das, I., & Bandyopadhyay, D. “Non-Gaussian Deep Neural Network: Application to Periodontal Health.”
  • Thakur, D., Lahiri, S., Nychka, D., & Bandyopadhyay, S. “Fast Simulation of Spatial Stream Flow using Neural Network.”
  • Thakur, D., Sidney, N., & Lahiri, S. “Local Variable Selection in Spatial Regression: Local LASSO.”
  • Lahiri, S. & Thakur, D. “Ordinary Least-Square Based Spatial Variogram Estimation.”
  • Thakur, D. “Local Spatial Deep Indicator Kriging for Non-Stationary Spatial Surface.” Submitted.
  • Multi-Source Feature Selection for irregularly spaced spatial data.

Conference & Workshop Presentations

  • Missouri ASA Statistics Day, 2025 — Multi-Resolution Analysis of Variable Selection in Spatial Intensity Function for Risky Road in St. Louis.
  • EVA 2025 & CASE 2025 — Variable Selection in Spatial Regression: Local LASSO.
  • Extremes 2024 — Threshold Exceedance Modeling for Spatial Extreme Data Using Neural Network.
  • IISA 2022 — A spatial copula interpolation in a random field with application in air pollution data.
  • MedGU 2022 — Geo-Spatial Cluster Based Hybrid Spatio-Temporal Copula Interpolation.

Invited Speaker, Session Chairing & Organization

  • Statistics Colloquium Series, University of Alaska Fairbanks, 2026
  • Graduate Student Seminar, Washington University in St. Louis, 2026
  • IISA 2025, University of Nebraska–Lincoln, USA
  • IISA 2024, Cochin University of Science and Technology, India
  • Extremes 2024, Colorado School of Mines, USA

Awards & Achievements

NSF Travel Award

EVA 2025

IISA Student Paper Competition

Finalist, 2022

GATE Statistics

All India Rank 21

INSPIRE DST Fellowship

2014–2018

Professional Service

Reviewer for journals including Spatial Statistics, Statistical Analysis and Data Mining, Statistics in Medicine, Environmetrics,and Sankhya A.

Technical Skills

  • Statistical Computing: R, Python
  • Scientific Writing: LaTeX, Overleaf
  • Languages: English, Bengali, Hindi

Student Supervision

Xinyue Ha

Master's Student

Lyrian Zhao

Master's Student

Krisha Anant

Master's Practicum

Academic References

Prof. Soumendra N. Lahiri

Professor of Statistics and Data Science
Washington University in St. Louis

Postdoctoral Research Mentor

s.lahiri@wustl.edu

Prof. José E. Figueroa-López

Professor of Statistics and Data Science
Washington University in St. Louis

Postdoctoral Teaching Mentor

figueroa-lopez@wustl.edu

Prof. Soutir Bandyopadhyay

Professor of Applied Mathematics and Statistics
Colorado School of Mines

Postdoctoral Research Collaborator

sbandyopadhyay@mines.edu

Complete Curriculum Vitae

The web version provides an overview of my academic background. For complete publication details, research activities, presentations, and professional information, please download the full CV.

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