Here is  my CV

Teaching Interest

I have created and revised 2 major senior undergraduate courses (STAT 335 and STAT 421) on Data science and Machine learning with Python, that are cross listed with the department of Computer Science. I have also taught graduate level courses on Statistical Data Analysis and revised Statistics for Biology.  Courses I have taught  from 2020 - 2022.

Spring 2022 :   STAT 421: Machine Learning with Python.    [Syllabus]

FALL 2021   :    STAT 335: Principles of Data Science with Python.   [Syllabus]

                      STAT 601: Statistical Data Analysis. 

Spring 2021 :   STAT 421: Machine Learning with Python.

                      STAT 312: Statistics for Biology with R .  [Syllabus]

FALL 2020   :    STAT 335: Principles of Data Science with Python.   

                      STAT 312: Statistics for Biology with R. 

Spring 2020 :   STAT 335: Principles of Data Science with Python. 

                      STAT 312: Statistics for Biology with R. 

Contact

  • LinkedIn

Research Interest

Department of Statistics, Texas A&M University
3143 TAMU
College Station, TX 77843-3143

 

Street Address: 155 Ireland Street
Office: 437 Blocker

Voice: (979) 845-3141
Fax: (979) 845-3144
Emailsrahman@stat.tamu.edu

Clustering Algorithms; Unsupervised learning methods; High dimensional Inference. 

During my postdoctoral work under  Dr. Valen Johnson, we have developed one scalable clustering algorithm and one novel penalty criterion that has very low requirements on hyper-parameter specification and is very effective in detecting arbitrary shaped clusters automatically in high-dimensional data. I am currently working with one Masters and one Phd student to build deep embedded clusters for image and spatial data. 

 

Software Published

RJCluster : R package at CRAN repository. A clustering algorithm for high dimensional data. Try it on your data !  

Selected Awards and Honors

Refereed for Journals

1. Statistics and Probability Letters.

2. BMC Bioinformatics. 
3. Statistics in Bioscience. 

1. ConocoPhillips DataScience Faculty Fellow, 2022.  [Link]

2. ConocoPhillips DataScience Faculty Fellow, 2021. [Link]

 

3. 1st place in Distinguished Flash Talk, Annual Postdoc Symposium, Texas A&M University, 2018. [Link]

4. Nominated for APT Teaching Excellence Award, 2021.