Del Pia Lab

Theoretical and algorithmic aspects of mixed-integer optimization, with a special emphasis in linear and polynomial functions. Other interests include polyhedral combinatorics and combinatorial optimization.

Denu Lab

Investigating the mechanism and biological function of reversible protein modifications involved in modulating signal transduction, chromatin dynamics, and gene activation and addressing the “Histone Code” hypothesis by beginning to understand histone modification signaling code and its mechanisms and regulation.

Ferris Lab

Algorithmic and interface development for large scale problems in mathematical programming, including links to the GAMS and AMPL modeling languages, and general purpose software such as PATH, NLPEC and FATCOP.

Gong Lab

Prof. Gong’s research group focuses on the design, synthesis/fabrication, and characterization of novel materials and devices. Many of their ongoing projects are multidisciplinary, bridging engineering with materials science, chemistry, and life sciences. Some of their efforts include multifunctional drug/agent nanocarriers for the combined delivery of therapeutic and diagnostic agents which can be used to treat and diagnose various types of diseases. Her group also studies multifunctional polymer nanocomposites for various applications including flexible electronics, supercapacitors, and nanogenerators.

Handelsman Lab

Understanding diversity in microbial communities and their role in infectious disease; in particular, the genetic basis for stability of microbial communities, the role of a gut community as a source of opportunistic pathogens, and the soil microbial community as a source of new antibiotics and antibiotic resistance genes.

Image Lab

WID’s Image Lab, led by cartoonist and Discovery Fellow Lynda Barry, is a flexible classroom space dedicated to real-time creative activity to help encourage a different take on problem-solving.

Lessard Lab

Research lies at the intersection of optimization and control, two fields that play a vitally important role in cyber-physical systems (CPS) applications but that tend to have very different goals and tools.

Lewis Lab

Studying how chromatin dynamics influence gene expression during mammalian development and tumorigenesis. Research is rooted in the idea that chromatin, the physiologically relevant form of eukaryotic genomes, contains an indexing system that represents a fundamental regulatory mechanism that operates outside of the DNA sequence itself.

Loewe Lab

Envisioning new ways to help biologists capture their ideas as models in the larger context of Evolutionary Systems Biology. Our lab aims to improve the quality of these models by quantifying evolution with increasing precision.

Page Lab

Algorithms for data mining and machine learning, and their applications to biomedical data, especially clinical and high-throughput genetic and other molecular data. Of particular interest are inductive logic programming (ILP) and other multi-relational learning techniques capable of dealing with complex data points (such as molecules or clinical histories) and producing logical rules.

Roy Lab

A computational biology group interested in developing statistical computational methods to understand regulatory networks driving cellular functions. The lab works to identify networks under different environmental, developmental and evolutionary contexts, comparing these networks across contexts, and construct predictive models from these networks.

Sridharan Lab

The main scientific focus of the lab is in defining how the epigenome controls cell identity. We want to know how non-genetic information controls functional specialization of a cell and use this knowledge to direct efficient conversion of desired cell types with the ultimate goal of improving stem cell based therapy.

Turng Lab

The Turng lab works with injection molding and innovative plastics manufacturing processes (such as microcellular injection molding / MuCell process), pioneering materials (biobased polymers, nanocomposites, electro-active polymers (EAPs), etc.), and intelligent modeling and process control (computer-aided engineering (CAE), numerical simulation, design and process optimization, intelligent injection molding control, and Internet-based collaboration) to advance the science and manufacturing techniques surrounding tissue engineering scaffolds.

Vetsigian Lab

Dynamics of microbial interactions in natural and synthetic microbial communities. The lab develops protocols for quantifying the community dynamics at the phenotypic and genetic levels, and seek simplified theoretical models that reproduce aspects of the experimentally measured dynamics.

Yin Research Group

Investigating how living organisms cooperate or compete in diverse and changing environments. Methods and perspectives are drawn from many fields, including ecology, evolution, molecular biology, physics, chemistry, engineering, mathematics, and computer science. The lab uses data-driven mechanistic and statistical models to predict when microbes or other organisms will persist or perish, with a broad goal of promoting human health through effective management of microbe-host interactions.