Dr. Moom Rahman

Associate Professor

Pharmacy, School of Pharmacy

Expertise: Pharmacogenomics; Genomics; Bioinformatics; Oncology; Biomedical Informatics; Medication Safety

Media Contact »

Office Location: 9401 296E

Phone: (714) 516-5472

Email: moomrahman@chapman.edu

Education:: Purdue University, Doctor of Pharmacy
University of Utah, Ph.D.

Biography

Dr. Moom Rahman is an Associate Professor at the Chapman University School of Pharmacy whose research integrates pharmacogenomics, multiomics bioinformatics, and clinical informatics to advance precision medicine. Her work focuses on applying computational genomics and translational bioinformatics approaches to complex diseases, including cancer and Alzheimer’s disease, while supporting the implementation of pharmacogenomics in clinical practice.

Dr. Rahman joined Chapman University in 2018. She earned her Doctor of Pharmacy (PharmD) from Purdue University and her PhD in Biomedical Informatics from the University of Utah School of Medicine. Additionally, she completed a postdoctoral fellowship in biomedical informatics at the University of Utah, funded by the National Library of Medicine. Her professional experience spans community and hospital pharmacy, acute care practice, clinical informatics leadership, and healthcare technology implementation.

Her research has been published in leading journals, including Genome Medicine, Bioinformatics, npj Digital Medicine, and CHEST. At Chapman, she teaches pharmacogenomics, precision medicine, and clinical informatics within the PharmD curriculum.

Research interests:

Pharmacogenomics and precision medicine implementation
Multiomics, genomics, and transcriptomics in disease mechanisms
Clinical and biomedical informatics
AI-enabled approaches for healthcare and biomedical research

Recent Creative, Scholarly Work and Publications: Duche AH, Tan O, Baskys A, Sumbria RK, Roosan MR. Predictive gene expression signatures for Alzheimer’s disease using post-mortem brain tissue. Front Aging Neurosci. 2025;17. doi:10.3389/fnagi.2025.1591946; Brown A, Roosan MR, Goldsteen R, Ochs SD, Taheri R. Utilizing pharmacogenomics to improve students’ self-perception on the interprofessional competencies of roles and responsibilities, and teams and teamwork. J Am Coll Clin Pharm. 2025;8(8):780-790. doi:10.1002/jac5.; Yao SJ, Amirrad F, Ziaei E, Roosan MR, et al. Surface keratin 1, a tumor-selective peptide target in human triple-negative breast cancer. Sci Rep. 2025;15(1):21644. doi:10.1038/s41598-025-05351-z.; Cropp CD, Gálvez-Peralta M, Ham AJL, Hoger JD, Ward KM, Norris M, Petry NJ, Roosan MR, Donnelly RS, Kinney S, Brazeau D, Berenbrok LA, Farrell CL, Lee YM, Iwuchukwu OF, Kisor DF, Cicali EJ. Development of a pharmacogenomics case repository for pharmacy educators. American Journal of Pharmaceutical Education. 2025;89(6):101397. doi:10.1016/j.ajpe.2025.101397.; Patel A, Tong S, Roosan MR, et al. Crosstalk between nnos/no and cox-2 enhances interferon-gamma-stimulated melanoma progression. Cancers. 2025;17(3):477. doi:10.3390/cancers17030477; Roosan MR, Mettu R. Editorial: Machine learning advancements in pharmacology: transforming drug discovery and healthcare. Front Pharmacol. 2025;16. doi:10.3389/fphar.2025.1583486; Chandrashekar DV, Roules GC, Jagadeesan N, Panchal UR, Oyegbesan A, Imiruaye OE, Zhang H, Garcia J, Kaur K, Win S, Than TA, Kaplowitz N, Roosan MR, Han D, Sumbria RK. Hepatic LRP-1 plays an important role in amyloidosis in Alzheimer’s disease mice: Potential role in chronic heavy alcohol feeding. Neurobiol Dis. 2024;199:106570.; Predicting survival of NSCLC patients treated with immune checkpoint inhibitors: Impact and timing of immune-related adverse events and prior tyrosine kinase inhibitor therapy. Front Oncol. 2023; 13:1064169.; Quantitative phosphoproteomic analysis reveals unique cAMP signaling pools emanating from AC2 and AC6 in human airway smooth muscle cells. Frontiers in Physiology. 2023; 14.; Untargeted metabolomics analysis on kidney tissues from mice reveals potential hypoxia biomarkers. Scientific Reports. 2023;13:17516.; PGxKnow: a pharmacogenomics educational HoloLens application of augmented reality and artificial intelligence. Future Medicine. 2022; 23(4): 235-245.; Zeiger A, Andraos J, Sharma A, Roosan MR. Pharmacogenomic Considerations in Opioid Therapy. US Pharm. 2022;47(3): HS7-HS12.; Roosan D, Wu Y, Tran M, Huang Y, Baskys A, Roosan MR. Opportunities to integrate nutrigenomics into clinical practice and patient counseling. Eur J Clin Nutr. 2022.; Artificial Intelligent Context-Aware Machine-Learning Tool to Detect Adverse Drug Events from Social Media Platforms. J. Med. Toxicol. 2022; 18, 311–320.; Pharmacists’ Response to the Opioid Crisis: A California Naloxone Survey. Journal of Contemporary Pharmacy Practice.2022; 69 (3): 30–35.; Li Y, Duche A, Sayer MR, Roosan D, Khalafalla FG, Ostrom RS, Totonchy J, Roosan MR. SARS-CoV-2 early infection signature identified potential key infection mechanisms and drug targets. BMC Genomics 22, 125 (2021).; Kathuria A, Roosan MR, Sharma A. CYP2C9 Polymorphism and Use of Oral Nonsteroidal Anti-Inflammatory Drugs. US Pharm. 2021;54(3):23-30.; Roosan MR, Mambetsariev I, Pharaon R, Fricke J, Husain H, Reckamp KL, Koczywas M, Massarelli E, Bild AH, Salgia R. Usefulness of Circulating Tumor DNA in Identifying Somatic Mutations and Tracking Tumor Evolution in Patients with Non-Small Cell Lung Cancer. Chest. 2021 Apr 18; Roosan MR, Mambetsariev I, Pharaon R, Fricke J, Baroz AR, Chao, J.; Chen, C.; Nasser, M.W.; Chirravuri-Venkata, R.; Jain, M.; et al. Evaluation of Somatic Mutations in Solid Metastatic Pan-Cancer Patients. Cancers 2021, 13, 2776.; Petry NJ, Roosan MR, Cicali EJ, Duarte JD. Implementation: A Guide to Implementing Pharmacogenomics Services. In: Lam JT, Gutierrez MA, Shah S. eds. Pharmacogenomics: A Primer for Clinicians. McGraw-Hill.; Bodily WR, Shirts BH, Walsh T, Gulsuner S, King MC, Parker A, Roosan MR, Piccolo SR. Effects of germline and somatic events in candidate BRCA-like genes on breast-tumor signatures. PLOS ONE (2020)15(9): e0239197.; Roosan D, Hwang A, Law AV, Chok J, Roosan MR. The inclusion of health data standards in the implementation of pharmacogenomics systems: a scoping review. Pharmacogenomics (2020).; Roosan D, Chok J, Karim M, Law AV, Baskys A, Hwang A, Roosan MR. Artificial Intelligence–Powered Smartphone App to Facilitate Medication Adherence: Protocol for a Human Factors Design Study. JMIR Res Protoc. 2020 Nov 9;9(11):e21659.; Roosan, D., Hwang, A. & Roosan, M.R. Pharmacogenomics cascade testing (PhaCT): a novel approach for preemptive pharmacogenomics testing to optimize medication therapy. Pharmacogenomics J (2020).; Nuñez FJ, Johnstone TB, Corpuz ML, Kazarian AG, Tliba O, Panettieri RA, Kozio-White C, Roosan MR, Ostrom RS. Glucocorticoids rapidly activate cAMP production via Gas to initiate non-genomic signaling that contributes to one third of their canonical genomic effects. The FASEB Journal. 2020; 34: 2882– 2895.; Roosan D, Law AV, Karim M, Roosan M. Improving Team-Based Decision Making Using Data Analytics and Informatics: Protocol for a Collaborative Decision Support Design. JMIR Res Protoc 2019;8(11):e16047.; Roosan D, Li Y, Law A, Truong H, Karim M, Chok J, Roosan M. Improving Medication Information Presentation Through Interactive Visualization in Mobile Apps: Human Factors Design. JMIR Mhealth Uhealth 2019;7(11):e15940.; Rahman M, MacNeil SM, Jenkins DF, Shrestha G, Wyatt SR, McQuerry JA, Piccolo SR, Heiser LM, Gray JW, Johnson WE, Bild AH. Activity of distinct growth factor receptor network components in breast tumors uncovers two biologically relevant subtypes. Genome Medicine. 2017 Apr 26;9(1):40.; Roosan D, Weir C, Samore M, Jones M, Rahman M, Stoddard GJ, Del Fiol G. Identifying complexity in infectious diseases inpatient settings: An observation study. Journal of Biomedical Informatics. 2016 Nov 3;71:S13-S21.; Shen Y, Rahman M (co-first), Piccolo SR, Gusenleitner D, El-Chaar NN, Cheng L, Monti S, Bild AH, Johnson WE. ASSIGN: Context-specific genomic profiling of multiple heterogeneous biological pathways. Bioinformatics. 2015 Jun 1;31(11):1745-53.; Rahman M, Jackson LK, Johnson WE, Li DY, Bild AH, Piccolo SR. Alternative preprocessing of RNA-sequencing data in The Cancer Genome Atlas leads to improved analysis results. Bioinformatics. 2015 Nov 15;31(22):3666-72.

Dr. Moom Rahman

Biography

Recent Creative, Scholarly Work and Publications

Faculty Directories by School or College