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Curriculum Vitae

Research Interest

Academic  History

Research Interest

Research and Teaching    Experience

As a statistical scientist, my research interests are in the areas of theoretical and computational aspects of statistical machine learning, deep learning, robust statistics, and adversarial machine learning. I work for the integrated analysis of multi-view data in biomedical applications. Projects which aim to reveal new fundamental biological insights of complex diseases, as well as those centered on more clinical applications both appeal to me.

 

Statistical machine learning: dimensionality reduction, feature selection, non-parametric models, and inference methods for integrative analyses of multi-omics biomedical data including genome, epigenome, transcriptome, proteome, metabolome, lipidome, and medical image of complex diseases.

 

Deep learning: the advances in deep learning technologies provide new effective paradigms to obtain end-to-end learning models from complex, high-dimensional, and heterogeneous biomedical data. Deep learning approaches could be a vehicle for translating big biomedical data into improved human health.

 

Robust and adversarial machine learning: non-parametric inference, the robustness of linear multivariate approaches, the robustness of kernel methods, and incorporate as well as invent adversarial machine learning techniques for given complex diseases prediction using a multi-view biomedical dataset.

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Topological data analysis: methods for imposing a geometry, visualizing a geometry, and method on persistent homology.

Academic  History

Tulane University, USA (Jananuary  2019 - )

Department of Global Biostatistics and Data Science

Post-Doctoral Researcher

Topic: Adversarial learning for multi-view data fusion to characterize complex diseases

Advisor: Professor Hong-Wen Deng, Ph.D.  

 

Tulane University, USA (Novermber 2015  –  September 2017)

Department of Biomedical Engineering

Post-Doctoral Researcher

Topic: Extraction and integration of biomarkers from multi-modality kernel-based genomic techniques.

Advisor: Professor Yu-Ping Wang, Ph.D.

 

The Graduate University for Advanced Studies, Japan (October 2009 -  September  2014)

PhD. in Statistical Science

Dissertation Topic: “Kernel Choice of Unsupervised Kernel Methods”

Advisor: Prof.   Dr. Kenji Fukumizu

 

The University of Rajshahi, Bangladesh (Jualy 1998 -  July 2004)

M.Sc. in Statistics, Title: Robustness of correlation analysis

Advisor: Prof. Dr. Mohammed Nesser

B. Sc. (Hons.)  Major: Statistics, Mathematics, and Computer Science.

Research and Teaching    Experience

Postdoctoral Research Fellow                                                                           January 2019 to present

Department of  Biostatistics and Data Science

Tulane University, New Orleans, LA 70112, USA.

 

Visiting Research Fellow                                                                        March 03, 2018 – March 19, 2018

Department of Electrical and Electronics Engineering,

University of Fukui, Fukui-Shi, Fukui 910-8507, Japan.

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 Professor                                                                                                  January 15, 2018 -  Jan 15, 2019

Department of Statistics

Hajee Mohammad Danesh Science & Technology University, Bangladesh 

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Postdoctoral Research Fellow                                                     November 16, 2015 - September 8, 2017

Department of Biomedical Engineering

School of Science and Engineering

Tulane University

New Orleans, LA 70112, USA.

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Research Fellow                                                                                   October 1, 2014 - October 11, 2014

Center for Statistical Machine Learning

The Institute of Statistical Mathematics (ISM), Tokyo 190-0014, Japan

 

Research Assistant                                                                              November 15, 2009  - Sept 30, 2014

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Fukumizu’s Lab, The Institute of Statistical Mathematics (ISM), Tokyo 190-0014, Japan

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Associate Professor                                                                             September 4, 2013 - November 15, 2015

Department of Statistics

Hajee Mohammad Danesh Science & Technology University 

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Assistant Professor                                                                                             January 16, 2008 - Sept.3, 2013

Department of Statistics

Hajee Mohammad Danesh Science & Technology University 

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Lecturer                                                                                                      September 4, 2005 - January 15, 2008  Department of Statistics

Hajee Mohammad Danesh Science & Technology University, Dinajpur-5200, Bangladesh.

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