Shamim A Mollah, PhD

Assistant Professor
Department of Genetics
Institute for Informatics  [CV]
4444 Forest Park Ave
Room 6307, Campus Box 8102 [Map]
Phone: 314-273-8438

About me

Ph.D. Bioinformatics and Systems Biology, UCSD
M.A. Biomedical Informatics, Columbia University
B.S. Computer Science, Indiana University
B.A. Mathematics, Indiana University

Shamim Mollah is an Assistant Professor of Genetics and Institute for Informatics at Washington University School of Medicine in St. Louis. Shamim received her Ph.D. in Bioinformatics and Systems Biology from University of California San Diego. Her research was focused on deciphering histone signatures in breast cancer using multi-omics data, dynamic modeling, graph-theory, and machine-learning techniques to characterize drug responses in cancer cells.  She studied the responses of individual/combination drug/s on tumor cells and their effects on key proteins involved in cell signaling pathways. Shamim received her Master’s degree in Biomedical Informatics from Columbia University, where her research was focused on computational linguistics studying morphology of medical language using natural language processing. She received her undergraduate degrees in Computer Science (B.S.) and Mathematics (B.A.) from Indiana University where her research was focused on reinforcement learning (AI) and dynamic modeling (operation research). Previously, Shamim served as the bioinformatics scientist at the Rockefeller University, where she managed bioinformatics data analysis core for the Center of Clinical and Translational Science (CCTS). During her tenure at the Rockefeller University, her proposed bioinformatics research proposals led to the 2008 Obama challenge grant award and its renewal in 2011.

Charles, Lu

Bioinformatics Research Assistant, Email:

Charles is a graduate of Washington University in St. Louis, where he received his Bachelor of Science in Computer Science & Mathematics and Biochemistry. His undergraduate research focused on HOX gene expression regulation in AML. He was a MARC U-STAR Program scholar. As a part of the Mollah Lab, he hopes to utilize machine learning and systems biology approaches to connect epigenetic regulators to cancers and other complex diseases. He is currently developing hyper-relational knowledge graphs using natural language processing on biomedical textual data and spatial genomics data.

Jesse, Liu

Bioinformatics Research Assistant, Email:

Jesse is a graduate of Washington University in St. Louis, where she received her Master of Science in Computer Science. Her undergraduate research focused on ‘Multi-Model Sarcasm Detection based on self-attention mechanism’, which aimed to tackle the challenge of detecting nuanced sarcasm. She focused on pioneering a fusion model to leverage multi-modal information using LLM (large language model). As a part of the Mollah Lab, she hopes to utilize NLP (natural language processing) and LLM in biology. She is currently involved in imputation and forecasting of Omics data using deep learning model and developing link prediction models using NLP and tensor-based learning using biomedical textual data.

Humza, Hemani

Biomedical Informatics and Data Science (BIDS) rotation student, Email:

Humza is a first year BIDS PhD student.He got his bachelor’s degree at the University of Michigan, where he majored in Data Science and Cellular & Molecular Biology. He then worked at the National Institute of Aging, where he focused on analysis of single-cell RNA sequencing data. In the Mollah lab he is studying chromatin remodeling in breast cancer. 

Reetika, Ghag

MS Student, Email: 
Translational Bioinformatics

Reetika is a masters student at Washington University in St. Louis School of Medicine. She earned her Bachelor of Engineering in Computer Engineering from Pune Institute of Computer Technology, India. In the Mollah lab, her research focus is to develop computational models and machine learning methods to integrate and analyze high-dimensional single-cell sequencing data.

Tina, Tang

MS Student, Email:
Translational Bioinformatics

Tina is a masters student at Washington University in St. Louis School of Medicine. She earned her Bachelor in Bioengineering from Washington University in St. Louis. In the Mollah lab, her research focuses on understanding cell-cell communications in Cytokine Release Syndrome (CRS)  using network-based approach on high-dimensional single-cell sequencing data.

Stefanie, Kriel

Undergraduate Student, Email:
Biology, with a minor in Computational Biology

Stefanie is a sophomore at Washington University in St. Louis. In the Mollah Lab, Stefanie hopes to learn more about the intersection between machine learning, biological questions and in general, gain experience in professional research. She is currently working on determining enrichment of various phospho/proteins in signaling pathways in breast tumor microenvironment. 


Maya, Natesan

Undergraduate Student, Email:
Computer Science, with a minor in Bioinformatics

Maya is a junior at Washington University in St. Louis. Through her previous research experience, she has performed mutational signature analyses on annotated cancer variants and assessed variant oncogenicity utilizing bioinformatics tools. She is a NIH sponsored NCI summer intern. In the Mollah Lab, Maya hopes to utilize machine learning to decipher biological insights underlying chromatin remodeling in cancer. She is currently working on developing a predictive model for identifying chromatin remodeler proteins in cancer.

Hayden, Carlson

Undergraduate Student, Email:
Biomedical Engineering, with a minor in Bioinformatics

Hayden is a junior at Washington University in St. Louis. As a newcomer to the field, he is eagerly immersing himself in research, particularly in the area of expanding the cancer subtyping. By investigating the effects of genetic mutations in cancer, Hayden is taking initial steps towards gaining a foundational understanding of genomics. Driven by an interest in data science and genomics research methodologies, he aspires to develop his expertise in bioinformatics.

Laura, Valderrabano

Summer Intern, BIDS Program, Email:
Undergraduate Student, BIology, minor in Computational Biology

Laura is a Senior at Cornell University. In the Mollah Lab, Laura hopes to utilize machine learning, statistics, and proteomics data to automate signaling pathway of phoshpoproteins to determine cell fate in breast tumor microenvironment.

Minyoung, Ahn

Summer Intern, BIDS Program, Email:
Undergraduate Student, Computer science and Bioinformatics

Minyoung is a senior at UCSD. In the Mollah Lab, Minyoung hopes to utilize ontology to represent knowledge of chromatin remodelers- human disease associations.

Looking for graduate students from CSB, MGG, HSG, BIDS, Cancer Biology, and Biochemistry to join!


Past Lab Members

Min, Shi

Postdoctoral Research Associate 

Research: Deep learning and network analysis
Current: Research associate, Harvard University

Jenna, Ulibarri 

Graduate Student (rotation student), Email:
Molecular Genetics and Genomics

Rintsen, Sherpa

Bioinformatics Research Assistant Email:

Research: Epigenetic tumor microenvironment
Current: Bioinformatics graduate student, University of Michigan

Heming, Zhang 

Graduate Student (rotation student), Email:
Biomedical informatics and data science (BIDS)

Heyang, Ji

Graduate Student, Email:

Research: Hierarchical approach to cancer subtyping

Nathan, Wamsley

Graduate Student (rotation student), Email:
Computational and Systems Biology

Aparna, Anand

Graduate Student (rotation student), Email:

Molecular Genetics and Genomics

Paul, Morrison

Summer Intern, BIDS Program, Computer Science
Research: Generating 3D Network Models

Liubou, Klindziuk (Yuuna)

Summer Intern, BIDS Program, Mathematics, Email: Email:

Research: Deciphering tumor microenvironment in breast cancer using latent space model
Current: Computational biologist at Broad Institute

Lab Activities


4th of July cookout, 2020

Journal club

Mollah Lab holiday dinner, 2022 

Mollah Lab summer outing, 2023

Reetika’s post defense celebration, 2023

Mollah Lab graduation celebration dinner, 2023