Fahad Mostafa - Experiences

Assistant Professor of Biostatistics and Biomedical Data Science (2025 - Present) at the Arizona State University, USA

Teaching

AI/Data Science for Genomics, LSC 598, Fall 2026
Data Science for Genomics, STP 494, Fall 2026
Statistical Computing, STP 315, Spring 2026
Mathematical Statistics, STP 427, Spring 2025
Probability and Statistics for Researchers, STP 280, Fall 2025

Graduate Courses For references:

Stochastic Epidemic Models with Inference
Data Science for Genomics
Machine Learning in Biology
AI/ML for Population and Public Health

Ongoing Research

A New Imputation Approach for Missing Data Imputation for EHR
Bayesian Estimation of Parameters for Left-Truncated Log-Logistic Distributions time-to-event data analysis
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

President, SIAM Texas Tech Chapter, 2022-2023
Research Statistician, Nurogen, April 2021- December 2021
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)