Programs

Program affiliation
Developmental Regenerative and Stem Cell Biology

Research summary
Work in our lab focuses on the role of insulin resistance in human metabolic diseases. To accomplish this, we focus our efforts on patients with severe insulin resistance syndromes.

Key words
Insulin Resistance, Atypical Diabetes, Pediatric Endocrinology, FGF21, Fibroblast Growth factors

Program affiliation
General

Research summary
Computational biology, bioinformatics, protein-DNA interactions, gene regulation

Key words
computational biology, genome analysis, gene expression, mathematical modeling

Program affiliation
Neurosciences

Research summary
To understand and develop treatments for cerebrospinal fluid circulation disorders during development, including neonatal post-hemorrhagic hydrocephalus

Key words

Program affiliation
Molecular Genetics and Genomics
Molecular Microbiology and Microbial Pathogenesis
Plant and Microbial Biosciences

Research summary
We work on social interactions and mutualism using a microbial system so we can study cheating, conflict and cooperation at experimental and genomic levels, within and between species, in particular in social amoebae and their farmed bacteria

Key words
social evolution; multicellularity; mutualism; symbiosis; experimental evolution; disease; social amoebae; Dictyostelium; science education; birds

Program affiliation
Developmental Regenerative and Stem Cell Biology
Molecular Cell Biology
Molecular Genetics and Genomics
Biochemistry Biophysics and Structural Biology

Research summary
The Stratman lab is broadly interested in how blood vessels form and stabilize during development, and how changes in these processes affect tissue homeostasis and disease.

Key words
mechanobiology, vascular, endothelial cell, blood flow

Program affiliation
Biochemistry Biophysics and Structural Biology
Computational and Systems Biology
Molecular Microbiology and Microbial Pathogenesis
Biomedical Informatics and Data Science
Molecular Genetics and Genomics

Research summary
Our research focuses on the computational design and engineering of proteins for applications in vaccines, antiviral therapeutics, diagnostics, and targeted gene delivery. My laboratory integrates AI-based protein design, structural modeling, directed evolution, and high-throughput experimental screening to engineer novel antibodies, nanobodies, protein-based inhibitors, and vaccine immunogens. We aim to develop broadly applicable technologies that enable the rational design of proteins with improved biological function, specificity, and therapeutic potential.

Key words
protein design, protein engineering, influenza, RSV, machine learning , vaccines, antivirals

Program affiliation
General

Research summary

Key words

Program affiliation
Molecular Microbiology and Microbial Pathogenesis
Biomedical Informatics and Data Science

Research summary
Infectious causes of cancer and chronic diseases

Key words

Program affiliation
Computational and Systems Biology
Biomedical Informatics and Data Science

Research summary
We computationally model drug metabolism to predict drug toxicity and to assist pathologists in assessing histology images.

Key words
deep learning, metabolism, pathology, image analysis, machine learning, bioinformatics, biostatistics, chemical informatics, drug and target discovery, drug design

Program affiliation
Cancer Biology
Molecular Cell Biology
Biochemistry Biophysics and Structural Biology

Research summary
Identify and define those molecular features that drive leukemogenesis and then use that information to develop rational therapeutic strategies for improving outcomes in acute leukemia

Key words
leukemia, metabolism, therapy resistance, stem cells