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This is test post to check if Python code works. This is test. library(reticulate) import numpy as np x = [1, 2, 3] print(x) ## [1, 2, 3] y = np.mean(x) \(\bar{x}\) is the average, which is defined as \[ \bar{x} = \frac{\sum x}{n} \] So what is the aveage of y? It is 2. x = c(1:5) The value of x is R session is 1, 2, 3, 4, 5.


R Markdown This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see You can embed an R code chunk like this: summary(cars) ## speed dist ## Min. : 4.0 Min. : 2.00 ## 1st Qu.:12.0 1st Qu.: 26.00 ## Median :15.0 Median : 36.00 ## Mean :15.4 Mean : 42.98 ## 3rd Qu.


Selected Publications

A major outbreak of chikungunya virus occurred in Dhaka, Bangladesh between May and September 2017. This study used data from 1,326 patients to investigate the clinical symptoms, quality of life, and economic aspects during the first two weeks of infection. The severity of the disease was similar to previously reported severe outbreaks elsewhere but joint pain prior to fever emerged as a unique symptom in the Dhaka outbreak. About 83% of the patients reported low to very low overall quality of life (QoL). Nearly 95% of the patients have mostly confined to sickbed and approximately 30% of them lost more than 10 days of productivity due to severe arthropathy. The study contributes to establishing an effective syndromic surveillance system for early detection and timely public health intervention of future chikungunya outbreaks in resource-limited countries like Bangladesh.
PLOS: Neglected Tropical Diseases (Available Online), 2018

We provide specific recommendations for addressing autism spectrum disorder (ASD) in developing countries from the viewpoint of Bangladesh. Developing countries lack necessary healthcare facilities, skilled professionals and resources to deal with rising burden of ASD. This underscores the need for developing strategies that could work within cultural and economic barrier. We propose an innovative model for primary screening of ASD by utilizing well-established nationwide vaccination program in Bangladesh. Moreover, ICT-based intervention should be promoted to adapt best practices found elsewhere in the local context. Our recommendations would also be useful for other resource-limited countries.
Autism (Available Online), 2018

The adolescent and young adult (AYA) age group (15–39 years) bears distinct characteristics in terms of cancer biology, long-term health and treatment-related complications and psychosocial aspects. The overall scenario of cancer including hematological malignancies (HMs) is largely unknown in Bangladesh, where a significant proportion of people (44% of total population) belong to AYA age group. This study aims to describe the patterns of HM among AYA in the context of Bangladesh.
Cancer Epidemiology, 2017

In this comprehensive review, the aim is to depict the epidemiological aspects of thalassemias, mutation profile and current treatment and management practices in the country by sharing the experience of dealing with 1178 cases over 2009–2014 time periods in a specialized thalassemia treatment centre. We have also discussed the preventative strategies of thalassemias from the context of Bangladesh which could be effective for other developing countries.
In Orphanet Journal of Rare Diseases, 2017

Recent Publications

More Publications

Chikungunya outbreak (2017) in Bangladesh: Clinical profile, economic impact and quality of life during the acute phase of the disease

PDF Project

Managing autism spectrum disorder in developing countries by utilizing existing resources: A perspective from Bangladesh

Preprint PDF Project

Pattern of hematological malignancies in adolescents and young adults in Bangladesh


Thalassemias in South Asia: clinical lessons learnt from Bangladesh

PDF Project


Machine Learning

Data science and machine learning.


Thalassemia awareness and prevention in Bangladesh.


Autism related papers and ongoing projects.


2018 (Spring)

  • Business Intellience in Healthcare (UNC Charlotte)

2016 (Fall)

  • Statistics for Business (UNC Charlotte)


At University of Northern Colorado, Greeley, CO USA

  • Taught graduate level programming with R, and SAS (basic and advanced programming, R functions, SAS macro, SAS/SQL, ODS)

  • Taught graduate level multivariate analysis (Logistic regression, Segmentation, Cluster Analysis, Discriminant analysis, dimensionality reduction with PCA, SVD, and Factor Analysis).