Multimodal and Multiscale Imaging and Detection
- Developing advanced microscopy methods for intracellular molecular imaging, from sub-nanometer, single-molecule resolution to real-time tracking at diffraction-limited resolution.
- Developing molecular analysis for structure/function studies and drug design
- Developing new methods to identify cell types and circulating tumor cells based on biological, chemical or physical properties
- Developing high-throughput methods to confirm biological functions, molecular or cellular interactions, or drug screens
- Developing non-invasive imaging for inflammation/immune activation to predict side effects and response
Investigators:
- Carlos Castro, PhD (Mechanical and Aerospace Engineering)
- Emanuele Cocucci, MD, PhD (Pharmaceutics and Pharmacology)
- Richard Fishel, PhD (Cancer Biology and Genetics)
- Samir Ghadiali, PhD (Biomedical Engineering, Internal Medicine)
- Dorota Grejner-Brzezinska, PhD (Associate Dean for Research, College of Engineering)
- Jennifer Leight, PhD (Biomedical Engineering)
- William Marras, PhD, CPE (Integrated Systems Engineering)
- David McComb, PhD (Center for Electron Microscopy and Analysis)
- Wayne Miles, PhD (Molecular Genetics)
Tissue Engineering, Biomaterials, Biomechanics and Drug Delivery
- Developing innovative cell culture technologies (e.g., bioreactor, 3D culture, clean room technologies) to increase cell and tissue viability to support basic research and clinical trials
- Biofabricating (bioprinting, bioplotting and solid curing) tissue scaffolds and tissues for organoid and tumor microenvironment modeling
- Developing therapeutic biomaterials for surgery and localized biomedical administration
- Developing nanostructures or nanomaterials for drug delivery and immunotherapy
- Designing and developing materials for controlled fluid delivery/fluid dynamics and developing biosensors to model cancer evolution and metastasis
- Developing high-throughput systems using engineered models and organoids for compound screening and target validation
- Developing predictive biomechanical models of the natural history of bone-related cancers to inform and improve treatment
Investigators:
- Shamsul Arafin, PhD (Electrical and Computer Engineering)
- Jian Chen, PhD (Computer Sciences and Engineering)
- Daniel Gallego-Perez, PhD (Biomedical Engineering, General Surgery)
- Ramesh Ganju, PhD (Computer Sciences and Engineering)
- Peixuan Guo, PhD (Pharmacy and Medicine)
- Derek Hansford, PhD (Biomedical Engineering)
- Niru K. Nahar, PhD (Electrical and Computer Engineering)
- Andre Palmer, PhD (Chemical and Biomolecular Engineering)
- Anil Parwani, MD, PhD, MBA (Pathology)
- Raphael Pollock, MD, PhD (Surgical Oncology)
- Matthew Ringel, MD (Internal Medicine)
- Gina Sizemore, PhD (Radiation Oncology)
- Jonathan Song, PhD (Mechanical and Aerospace Engineering)
- Jessica Winter, PhD (Chemical and Biomolecular Engineering, Biomedical Engineering)
- Kristine Yoder, PhD (Cancer Biology and Genetics)
Machine Learning/Artificial Intelligence
- Developing machine learning and/or artificial intelligence algorithms for multi-omics data analytics (phenotypes, genomic, proteomics, transcriptomics, metabolomics, etc.) as well as for imaging and clinical records
- Developing applications for imaging and structural data for biomechanical modeling, understanding and predicting disease progression, and virtual surgical/non-surgical planning
- Developing applications for structure predictions for drug design and development
Investigators:
- Shaurya Prakash, PhD (Mechanical and Aerospace Engineering)
- Eduardo Reategui, PhD (Chemical and Biomolecular Engineering)
Potential Program Model
