Join us for a series of talks featuring QCBio faculty as they share ideas that excite them

Mehdi Bouhaddou
Assistant Professor, Microbiology, Immunology & Molecular Genetics
The Bouhaddou Lab dissects the biochemical regulatory circuits that control fate decisions using latest proteomic-mass spec technologies and quantitative analysis. They are specifically interested in understanding virus host interactions. While it is well appreciated that viruses hijack the cell’s core machineries for their replication, we have found that they also exquisitely sense cellular signaling activities to inform their own decision-making.

Aaron Meyer
Associate Professor, Bioengineering
The Meyer lab integrates experimental and computational strategies to measure, model, and therapeutically manipulate cell-to-cell communication, with applications in the development of immune and cancer therapies. They currently focus this integrated approach on the immune system, specifically on the mechanisms of selective cytokine and antibody Fc signaling. They also develop tensor-based data modeling approaches that have found wide applicability in the analysis of high dimensional clinical datasets.

Van Savage
Professor, Departments of Computational Medicine, and Ecology and Evolutionary Biology
Biological systems display extraordinary diversity in form and function. By understanding this diversity, we can discover mechanisms that provide critical new insights into biomedical problems. My overall research goal is to combine novel mathematical models with newly collected or analyzed empirical data to understand how biological systems are organized, constrained, and controlled across multiple levels of organization.

Grace Xiao
Professor, Integrative Biology and Physiology
The Xiao lab combines the latest computational and experimental methods in RNA biology to elucidate molecular mechanisms underlying disease. The overarching goals of our research are to understand how the transcriptome and epitranscriptome are controlled by the intricate network of genetic factors, RNA elements, and RNA-binding proteins, and how such regulation contributes to neurological diseases and cancer.

Jason Zhang
Assistant Professor, Bioengineering
The newly established Zhang lab focuses on AI-driven molecular engineering to study cellular signaling. One focus is the development of biosensors that reveal cellular activities in real time in living cells and tissues. His research leverages the latest AI structure prediction tools combined with principles from biophysics and cell biology.