Md Tuhin Sheikh

Md Tuhin Sheikh

Assistant Professor, Biostatistics, Arizona State University

Education

  • Ph.D in Statistics, University of Connecticut (UConn), Storrs, CT, Fall 2017 - Present.
  • M.S. in Applied Statistics, University of Dhaka, 2015.
    • Supervisor: Dr. Mahbub Latif
    • M.S. thesis: “Standard Error Estimations under Joint Modelling Setting with an Application to Diabetes Data”.
  • B.S. in Applied Statistics, University of Dhaka, 2013.
    • Supervisor: Dr. Tamanna Howlader
    • B.S. project: “A Comparison of Image Histogram Equalization Techniques”.

Experience

  • Department of Statistics, Uiversity of Connecticut (UConn), Storrs, CT
    • Graduate Teaching Assistant, August 2017 - Present
    • Advisor: Dr. Ming-Hui Chen, Professor, Statistics, UConn.
  • Boehringer Ingelheim (BI), Ridgefield, CT
    • Biostatistics and Data Science Intern, Summer 2020.
    • Manager: Dr. Miaomiao Ge, Senior Associate Director, BI.
  • Institute of Statistical Research and Traingin, University of Dhaka, Dhaka 1000, Bangladesh
    • Lecturer of Applied Statistics, August 2015 – present
  • James P Grant School of Public Health, Brac University, Dhaka 1212, Bangladesh
    • Teaching Fellow of Biostatistics course, Mar-May, 2015

Publications

Methodology

  1. Sheikh, M.T., Ibrahim, J.G., Gelfond, J. A., Sun, Wei and Chen, M. H. (2020). Joint Modeling of Longitudinal and Survival Data in the Presence of Competing Risks with Applications to Prostate Cancer Data. Statistical Modelling (Accepted).

Applications

  1. Khan, J.R., Awan, N., Sheikh, M.T. (2019). A multilevel and spatial analysis of the infant and young child feeding practices and associated factors among the under-2 aged children in Bangladesh. Child Care in Practice. doi: https://doi.org/10.1080/13575279.2019.1680528.
  2. Khan, J.R., Sheikh, M.T., and Muurlink, O. (2019). Breastfeeding termination and its determinants in Bangladesh: current status data modeling.  Early Child Development and Care. doi: https://doi.org/10.1080/03004430.2019.1595609.
  3. Khan, J.R., Biswas, R.K., Sheikh, M.T., and Huq, M. (2019). Factors associated with the availability of iodized salt at household level: A case study in Bangladesh. Public Health Nutrition. doi: 10.1017/S1368980018003907.
  4. Sheikh, M.T., Uddin, M.N., and Khan, J.R. (2017). A comprehensive analysis of trends and determinants of HIV/AIDS knowledge among the Bangladeshi women based on Bangladesh Demographic and Health Surveys, 2007-2014. Archives of Public Health, 75 (1): 59. doi: 10.1186/s13690-017-0228-2.

Teaching Experience

Department of Statistics, UConn

Teaching Assistant:

  • STAT 1100: Elementary Concepts of Statistics (Fall 2017 – 2018).
  • STAT 3025: Statistical Methods: (Fall 2017).
  • STAT 3115: Analysis of Experiments (Fall 2017, Spring 2018).

Instructor:

  • STAT 3375: Introduction to Mathematical Statistics (Fall 2019).

ISRT, University of Dhaka

Instructor:

  • AST 103: Programming with C (2016 – 2017).
  • AST 402: Statistical Inference II (2017)
  • AST 406: Industrial Statistics and Operations Research (2016).

Skills

Statistical methodology:

  • Proficient in using “proportional hazards model”, “generalized linear mixed model”, “joint model”, “logistic regression”, “interval censored data model”, “competing risks model”, etc.
  • Experience in dealing with “missing data”, using “random survival forest”, “deep neural network”, “expectation maximization algorithm”, designing and performing “simulation study”, etc.

Statistical software/language

  • Skilful in R (fluent in writing codes and using packages, e.g. “lme4”, “JM”, “survival”, “ggplot2”, “lattice”, etc.), R Shiny (capable of creating shiny apps), SAS (fluent in writing codes and data analysis using SAS macro, e.g. “JMFit”), Matlab (fluent in writing codes and using toolbox, e.g. “Image Processing”).
  • Skillful in FORTRAN (fluent in writing codes) using IMSL library.
  • Experience in analysing data using Stata, Minitab, SPSS, and have basic knowledge of C programming.

Text formatting

  • $\LaTeX$, Microsoft Word 2019, Microsoft Power point 2019.

Operating System:

  • Windows and Linux.

Awards

Statistics, UConn

  • Trainers’ Award (with a scholarship), UConn Sports Analytics Symposium 2019.
  • Outstanding Teaching Award (with a scholarship), Department of Statistics, UConn, 2019.
  • UConn Provost’s appreciation letter for excellence in teaching in Spring 2019, Fall 2019, and Spring 2018.

ISRT, DU

  • University Grants Commission Research Grant for “Standard Error Estimation under Joint Modelling Setting”, 2016-17.
  • First Prize in Young Statistician Award, Second International Conference on Statistics 2015 at DU, for the paper titled “Effect of Longitudinal Blood Glucose Level on Diabetes Complications: A Joint Modelling Approach”.
  • Dean’s Award-2015, Faculty of Science, DU, awarded for outstanding performance in B.S. (Honors) in Applied Statistics, 2013.

Others

  • DU Talent Pool Scholarship, awarded for the result of B.S. (Honors) in Applied Statistics, 2013.
  • ISRT merit scholarship for B.S. (Honors) results, 2011, 2012, 2013, and 2014.
  • Eastern Bank Limited (EBL) and DU Alumni Association (DUAA), EBL-DUAA scholarship for B.S (Honors) 2nd (2012) and 3rd (2013) year results.
  • Moulavi Ahmed Ullah Memorial Trust Fund Scholarship for B.S. (Honors) 2nd year result, 2012.
  • DU Undergraduate Scholarship for B.S. (Honors) 1st year result, 2011.