image of Greg Thurber

Greg Thurber

Associate Professor, Associate Chair for Graduate Education

Contact

gthurber@umich.edu

(734) 764-8722

Location

Chemical Engineering
Biomedical Engineering

B-28 NCRC
G056W2800 Plymouth Road, Ann Arbor, MI 48109-2800

Additional Title(s)

Associate Chair for Graduate Education

Primary Website

Thurber Lab

Education

Massachusetts Institute of Technology
PhD CHE ’08

Pennsylvania State University

BS Chemical Engineering, Minor in Biochemistry & Molecular Biology ’03

Research Interests

Molecular Imaging Agent Design – Significant advances have been made in understanding the molecular basis of many diseases including cancer, cardiovascular disease, autoimmune disorders, Alzheimer’s disease, and numerous others. Molecular imaging agents have the potential to translate this knowledge into making earlier and more accurate diagnoses and better monitoring of treatment outcomes. The broad research goal of the lab is to understand the transient distribution of imaging agents based on molecular properties (such as size, target affinity, lipophilicity, plasma clearance, etc.) in order to efficiently generate novel compounds. A mechanistic understanding of distribution also enables predictive scaling from animal models to the clinic for more efficient translation. Towards this goal, the lab uses a joint theoretical and experimental approach, applying fundamental chemical engineering principles, to utilize models while developing new imaging agents and measuring their properties and distribution.

Quantitative Pharmacology – Therapeutic molecules must reach their intended target for efficacy in disease treatment. Mathematical models developed for imaging agents also apply to therapeutic distribution, often delivered in a pseudo-steady state fashion (such as repeated oral dosing). Using sophisticated in vivo microscopy techniques and multi-scale mathematical modeling, the distribution of therapeutics is investigated from the organ level down to the tissue, cellular, and subcellular length scale. The results can be paired with pharmacodynamic studies to maximize therapeutic efficacy. Mathematical models developed from these experimental studies will become increasingly important as the distinction between small molecule drugs and macromolecule biologics decreases for many new therapeutics with novel properties.

Biography

Positions Held at U-M

Associate Professor, Department of Chemical Engineering (2019-present)

Assistant Professor, Department of Chemical Engineering (2012-2019)

Positions Held Elsewhere

Junior Faculty, Harvard Medical School/Massachusetts General Hospital, Radiology (2011-2012)

Postdoctoral Research Fellow, Harvard Medical School/Massachusetts General Hospital, Center for Systems Biology (2008-2011)

Courses Taught

ChE 230 – Introduction to Material Energy Balances
ChE 344: Reaction Engineering and Design
ChE 574: Drug Delivery and Targeting
ChE 696: Principles and Predictions of Drug Distribution

Awards

National Science Foundation CAREER Award, 2016

NIH Research Scientist Career Development Award (K01 Mechanism), 2011

Harvard Medical School NIH T32 Training Grant in Molecular Imaging, 2008-2011

Sigma Xi Scientific Research Society, Full Membership, 2008

Ludwig Fellowship in Cancer Research, MIT, 2006

Presidential Fellow, MIT, 2003

Chemical Engineering Student Marshall, Pennsylvania State University, 2003

1st place AIChE Regional Conference Paper Competition, 2003