Santu Ghosh

Assistant Professor

Santu Ghosh

Assistant Professor

Academic Appointment(s)

Medical College of Georgia
Department of Population Health Science: Epidemiology

The Graduate School

Bio

Dr. Santu Ghosh is an assistant professor in the department of biostatistics and epidemiology, from May 2015. He received his PhD from Northern Illinois University in 2013. He was a postdoc fellow in the medical school at Wayne State University from 2013-2015. Dr. Ghosh is currently working on developing Bayesian methodology for clinical trials, such as non-inferiority trials, enrichment trials. Alongside, he is expanding his research interests to include Meta Analysis, Network Data Analysis, and Ranked Set sample.

Education

  • Ph.D., Mathematical Statistics and Pr Northern Illinois University, 2013

Awards & Honors

  • Travel Award Southern Region Council on Statistics, 2018

  • Certificate of Merit (Superior academic achievement) Department of Mathematical Sciences, Northern Illinois University, 2013

  • Mathematical Association Membership Award in recognition of an outstanding scholar Department of Mathematics, University of New Orleans, 2008

Courses Taught Most Recent Academic Year

  • STAT 9300

    Dissertation Research
  • STAT 9140

    Generalized Linear Models II
  • STAT 8890

    Readings and Research
  • STAT 7640

    Generalized Linear Models I

Teaching Interests

Mathematical Statistics, Statistical Inference, Biostatistics, Bootstrap, Stochastic Processes, Statistical Methods of Forecasting.

Scholarship

Selected Recent Publications

  • Clinical Parameters Outperform Molecular Subtypes for Predicting Outcome in Bladder Cancer: Results from Multiple Cohorts, Including TCGA, 2020
    Journal Article, Academic Journal
  • Two-Sample High Dimensional Mean Test Based On Prepivots, 2020
    Journal Article, Academic Journal
  • A chemokine/chemokine receptor signature potentially predicts clinical outcome in colorectal cancer patients, 2019
    Journal Article, Academic Journal
  • Computational Methods for Detection of Differentially Methylated Regions Using Kernel Distance and Scan Statistics, 2019
    Journal Article, Academic Journal
  • Detection of Differentially Methylated Regions Using Bayes Factor for Ordinal Group Responses, 2019
    Journal Article, Academic Journal

Research Interests

Application of Bayesian Statistics in Biomedicine, Clinical trials, Network Meta -Analysis, Bootstrap, Observed Confidence Levels, Analysis of Network Graph Models, and Ranked Set sample.

Department Service

  • Dissertation Committee - Henry Claussen 2019 - Present

    Role: Committee Chair
  • Second Annual Workshop: Emerging Data Science Methods for Complex Biomedical and Cyber Data 2019 - Present

    Role: Committee Member
  • Dissertation Committee -Melissa Howie 2019 - Present

    Role: Committee Member
  • Dissertation Committee - James Dow 2018 - Present

    Role: Committee Member
  • Dissertation Committee - Oluseyi Odubote 2018 - Present

    Role: Committee Member

University Service

  • Statistical Consulting Service for Advaita Punjala-Patel 2019 - 2019

  • Statistical Consulting Service for Meghan Nelson 2019 - 2019

  • Statistical Consulting Services For Vamsi Reddy 2018 - 2018

    Role: Other
  • Statistical Consulting Services For Angela Stephens 2018 - 2018

    Role: Other
  • Statistical Consulting Services For Danielle Crethers 2018 - 2018

    Role: Other

Professional Service

  • The Journal of ECT 2015 - Present

    Role: Editor, Associate Editor
  • Bioinformatics 2019 - 2020

    Role: Reviewer
  • Pharmaceutical Statistics 2019 - 2019

    Role: Reviewer
  • Journal of Chemometrics 2019 - 2019

    Role: Reviewer
  • Journal of Statistics Education 2019 - 2019

    Role: Reviewer, Journal Article