Hi, this is Fahad, I am glad you have made it to my page. I am a Biostatistician, working as an assistant professor of biostatistics and data science at Arizona State University. I completed an M.S. and Ph.D. in Statistics from TEXAS TECH, respectively. Before moving to the US as a graduate student at TEXAS TECH, I obtained my B.S. in Mathematics and M.S. in Applied Mathematics from Dhaka University. I worked as a Postdoctoral research scientist in Biostatistics from University of Colorado School of Medicine of CU Anschutz and also worked as an ORISE fellow in Machine Learning at NCTR, FDA. Also I worked as a Biostatistical consultant at TTUHSC and the NEM Research Institute of Rutgers New Jersey Medical School.
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Assistant Professor of Biostatistics and Biomedical Data Science (2025 - Present) at the Arizona State University, USA
Teaching
Applied Biostatistics for Public Health, TPH 504, Fall 2026 online
Data Science for Genomics, LSC 598/STP 494, Fall 2026 online
Statistical Computing, STP 315, Spring 2026 online
Mathematical Statistics, STP 427, Spring 2025 in-person
Probability and Statistics for Researchers, STP 280, Fall 2025 in-person
Graduate Courses For references:
Data Science for Genomics
Machine Learning in Biology & Medicine
AI/ML for Population and Public Health
Ongoing Research
Multi Agent System for AD Analysis
Development and validation of dementia diagnosis in adults through machine learning frameworks
Model development for DILI prediction and risk assessments
A New Imputation Approach for Missing Data Imputation for EHR
Bootstrap Confidence Regions for Parameters of Mean-Reverting SDEs with Seasonal Time Series
Postdoctoral Research Fellow (2024-25) at the University of Colorado School of Medicine, CU Anschutz Med Campus, USA
Mentor: Dr. Katie Colborn,
Work with EHR, Missing Data Imputation, Statistical Learning, Longitudinal data analysis, medical informatics.
ORISE Postdoctoral Fellow (2024-25) at CDRH, FDA
Work with EHR data mining and predictions
ORISE Postgraduate Research Fellow (2023) at Division of Bioinformatics and Biostatistics of NCTR, FDA, Arkansas, USA
Mentor: Dr. Minjun Chen
1) Regulatory science training, especially on the drug safety assessment for drug-induced liver injury,
2) Using deep learning in silico approaches to develop computational model for predicting drug-induced liver injury using chemical structure and in vitro assay data; and
3) Using nature language processing including BERT model to analyze the text documents including abstracts in Pubmed, case descriptions in FDA FAERS database and other regulatory documents.
Research Biostatistician (2021 - present) at TTUHSC and NJMS as a collaborator
Worked on neurology, liver disease, diabetes, and infectious diseases datasets as a statistical model developer and data scientist.
Research Assistant (Summer 2021) at Texas Tech University
National Science Foundation (NSF) work supported under Grant No. DMS-2050133 REU project (June- August 2021) at Texas Tech University, USA. Worked as a Research Assistant under Dr. Linda Allen, and mentor of three REU students for research in Stochastic Process in disease modeling and biostatistics.
Graduate Part-time Instructor (Fall 2018-Present) at Texas Tech University
Courses Taught as Instructor of Records (IoR) and TA
Math Stat for Engineers and Scientists (IoR, Spring 2023)
Statistical Methods, MATH 2300 (IoR, Summer II 2019, Fall 2019, 2023, Spring 2022)
Introduction to Statistics, Application to Business, MATH 2345 (IoR, Fall 2021)
Linear Algebra, MATH 2360 (IoR, Spring 2021)
Introduction to Mathematical Analysis-I, MATH 1330 (IoR, Fall 2018, Fall 2019, Spring 2020)
Calculus-III, MATH 2450 (TA, Summer I 2019)
Higher Math for Engineers and Scientists-I, MATH 3350 (TA, Summer I 2020)
Mathematics Instructor, Spring 2016-Summer 2018, at Independent University
Instructed Courses: Calculus-I, II, Basic Algebra, Basic Statistics, Intermediate University Mathematics-I, II.
Other Teaching Experiences
Mathematics Lecturer Fixed Term, BUTEX 2016
Dynamic Meteorology and Numerical Methods Lecturer, DU 2018
Other Experiences
General secretary F.H. Hall Debating Club 2013-2014
Referred Textbooks, for Machine Learning, Data Science, and Statistics
I have hands-on experience working with a diverse range of datasets, where I develop and apply advanced statistical and machine learning algorithms to extract meaningful insights, build predictive models, and solve real-world problems. My work spans various domains in biostatistics, and I consistently tailor analytical techniques to suit the unique characteristics of each dataset.
Referred Test Data (open sources)
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