Shamim A Mollah, PhD

Assistant Professor
Department of Genetics
Institute for Informatics  [CV]
4444 Forest Park Blvd
Room 6315, Campus Box 8102 [Map]
Phone: 314-273-8438

About me

Ph.D. Bioinformatics and Systems Biology, UC San Diego
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 applying network analysis-based models on multi-omics data using 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.

Min, Shi, PhD

Postdoctoral Scholar

Min Shi earned his Ph.D. in Computer Science from Florida Atlantic University, USA, where his research interests include machine learning, deep learning and network analysis. In the Mollah lab, his research focus is to develop computational models and machine learning methods to interpret tumor microenvironment through integration of large scale multi-omics data. He has also been working on a project which aims to study the respiratory immune characteristics associated with Covid-19 severity. From this project, he has gained experiences in addressing and analysing the high-dimensional single-cell RNA sequencing data.

Rintsen, Sherpa

Bioinformatics Research Assistant

Rintsen is a recent graduate of Washington University in St. Louis, where he received his Bachelor of Arts in Genomics and Computational Biology. His undergraduate research focused on variant discovery in experimentally evolved social amoebae, taking a bioinformatic approach to understanding the genetics behind certain behavioral and morphological phenotypes. As a part of the Mollah Lab, he hopes to learn more about using machine learning to answer biological questions, while helping provide biological context to the largely informatics-based work done by the labHe is currently studying the human transcriptional response to COVID-19 infection.

Stefanie, Kriel

Undergraduate Student
Neuroscience, with a Minor in Computer Science

In the Mollah Lab, Stefanie hopes to learn more about the intersection between machine learning and biological questions and in general, gain experience in professional research.

Heyang, Ji

Graduate Student  (alum)

Nathan, Wamsley

Graduate Student (former rotation student)
Computational and Systems Biology

Aparna, Anand

Graduate Student (former rotation student)
Molecular Genetics and Genomics

Liubou, Klindziuk (Yuuna)

Summer Intern
BIDS Program

Paul, Morrison

Summer Intern
BIDS Program

Looking for graduate and undergraduate students!