DIP·DAS

Statistics · Machine learning · research

Discover patterns through data.

I'm Dip Das, a fourth-year PhD student in Statistics at the University of South Carolina. I study statistical learning, survival analysis, stochastic processes, and generative AI.

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evidence →inference →
Data becomes evidence through careful modeling.
01

About

Methods-led, impact-aware.

I bring methodological rigor to applied questions. My training includes an MS in Statistics from Texas Tech University and a BS in Applied Statistics from the University of Dhaka.

PhD
Statistics, University of South Carolina
2023–2028
Current role
Graduate Teaching Assistant
Department of Statistics
Research interests
Machine learning, survival analysis, stochastic processes, diffusion models, and generative AI
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Research

Work at the intersection of inference and learning.

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Statistical modeling

Bayesian methods, survival analysis, stochastic processes, and MCMC.

02

Machine learning

Supervised and unsupervised learning, diffusion models, and generative AI.

03

Applied data science

Healthcare data and reproducible analysis using R, Python, SQL, SAS, and STATA.

Selected publications

Master's thesis

Classification performance of supervised machine-learning methods on multivariate normal mixture models

Explored the classification performance of supervised machine-learning methods on multivariate normal mixture datasets, with an application to a heart-failure dataset.

Texas Tech University · Advisor: Dr. Ruiqi Liu
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Experience

Research, teaching, and data experience.

Graduate Teaching Assistant

University of South Carolina

Graduate Part Time Instructor & Graduate Research Assistant

Texas Tech University

Research Associate

BRAC James P. Grant School of Public Health, BRAC University

Young Professional (Data Analyst)

Aspire to Innovate (a2i) Programme

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Teaching

Teaching statistics with practical context.

Fall 2026

STAT 201: Elementary Statistics

University of South Carolina

Spring 2025–Spring 2026

Lab Instructor, STAT 201

University of South Carolina

Fall 2022

MATH 1320: College Algebra

Texas Tech University

Selected awards

  • Outstanding Graduate Assistant Award, Spring 2025
  • Graduate Assistantship Enhancement Award, University of South Carolina
  • Graduate School Research Support Fund, Texas Tech University
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Curriculum vitae

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Let's work on a meaningful question.

For research, collaboration, or teaching-related inquiries, please get in touch.

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