DURBADAL GHOSH

Contact: +1 (850) 328-8379 |
LinkedIn: www.linkedin.com/in/durbadal-ghosh-1a7a27143
GitHub: https://github.com/Durbadal0

EDUCATION

Florida State University | Fall 2020 - Present
Ph.D. in Biostatistics
GPA: 3.9/4.0

Indian Statistical Institute | Fall 2018 - Fall 2020
M.Stat. (Master of Statistics)
Relevant coursework: Martingale Theory, Measure Theoretic Probability, Advanced Functional Analysis, Weak Convergence and Empirical Processes, Brownian Motion and Diffusions

Indian Statistical Institute | Fall 2014 - Fall 2018
B.Stat. (Bachelor of Statistics)
Capstone Project: “Public Perception on Inflation” under supervision of Prof. Bimal K. Roy and Prof. Debasis Sengupta

PROFESSIONAL EXPERIENCE

University of Tennessee Health Science Center | Data Science Intern | June 2024 - August 2024 - Biostatistics research and data analysis for health science applications

Sanofi | Biostatistics Research Intern | May 2023 - August 2023 - Applied statistical methods to pharmaceutical research and clinical data

ESA South Inc, FL | Statistical Consultant | May 2022 - August 2022 - Provided statistical consulting services to a general contractor providing emergency services to the federal government

College of Medicine, FSU | Research Assistant | May 2021 - December 2022 - Member of research team investigating factors contributing to racial disparities among breast cancer patients in Florida - Collaborated with Dr. George Rust (M.D, MPH), Director of the Center for Medicine and Public Health

World Health Organization | Biostatistician | August 2021 - Present - Member of the Global Health Collaboration Project, working with interdisciplinary teams from various departments

MBB LABS | Data Science Intern | May 2019 - August 2019 - Developed algorithms for real-time fraud detection

TEACHING EXPERIENCE

Florida State University | Solo Instructor - Introduction to Applied Statistics (STA2122): Spring 2022, Summer 2023, Spring 2024 - Statistics through Example (STA1013): Summer 2022 - Statistics for Biology (STA2171): Spring 2023 - Fundamental Business Statistics (STA2023): Fall 2023

RESEARCH & PUBLICATIONS

Under Review: - “Analysis of spatially clustered survival data with unobserved covariates using SBART” (2024) Authors: Durbadal Ghosh, Debajyoti Sinha, Antonio Linero, George Rust Journal: Biometrics

Ongoing Research: - “Estimating Causal Effects in Spatially Clustered Survival Data Using BART” - Novel Bayesian approach using Monotone Bayesian Additive Regression Trees (mBART) with Conditional Auto-Regressive (CAR) model

  • “Bayesian Tensor regression on big skewed data with mixed response”
    • Developing methods for analyzing dental data with mixed tensor response, addressing challenges of monotonous missingness in large longitudinal datasets

SOFTWARE DEVELOPMENT

BigRiverQTL.jl | Registered Julia Package | August 2024 - Statistical toolbox for quantitative trait locus (QTL) analysis - Features components for preprocessing, genome scans, and visualization - GitHub: https://github.com/senresearch/BigRiverQTL.jl/tree/main

TECHNICAL SKILLS

Programming Languages: SAS, R & Rcpp, Winbugs, Stan, nimble, Julia, Python, C & C++
Software & Tools: LaTeX, R Markdown, Git/Github, Excel

AREAS OF EXPERTISE

  • Bayesian Statistics
  • Biostatistics
  • Causal Inference
  • Machine Learning & Deep Learning
  • Monte Carlo Methods
  • Mixed Effect Models
  • Probability Theory & Measure Theory
  • Design of Experiments
  • Functional Analysis
  • Design of Algorithms

AWARDS & HONORS

  • Winner, Health Policy Statistics Section Student Paper Competition, American Statistical Association (2025)
  • RL Anderson Graduate Student Poster presentation award, SRCOS (2023, Ranked 2nd)
  • Boyd Harshburger Travel award for presentation, SRCOS (2023)
  • Outstanding Research Presentation Award, Graduate Student Research Conference, GSN, NISS (2023, Ranked 2nd)
  • Nominated for best Student researcher award (Korwar award), FSU statistics (2023)
  • Ranked first, FSU Data Science Competition (Kaggle, 2022)
  • Ranked fifth, FSU Data Science Competition (Kaggle, 2023)
  • Travel Award, Florida chapter of ASA (2023)
  • Travel award, COGS, FSU for poster presentation at SRCOS (2023)
  • Jagadis Bose Senior National Science Talent Search Scholar (2014-2020)

PRESENTATIONS

  • Joint Statistical Meeting (2024)
  • Theory and Foundations of Statistics in the Era of Big Data Conference (2024, poster)
  • ASA Florida Chapter (2023, 2024)
  • NISS-GSN 3rd Annual Graduate Student Research Conference (2023)
  • SRCOS, summer research conference (2023, poster)
  • Yongyuan and Anna Li Presentations, FSU (2023)

REFERENCES

Available upon request