Upcoming Speaker- Dr. Adam Gormley | November 3, 2023 | Rutgers University

Our next guest speaker will be Dr. Adam Gormley on Friday, November 3, 2023 at 3:00 pm in Wilkinson 132. Dr. Gormley is an Associate Professor of Biomedical Engineering at Rutgers University and an expert in nanobiomaterials. Prior to Rutgers, Adam was a Marie Skłodowska-Curie Research Fellow at the Karolinska Institutet (2016) and a Whitaker International Scholar at Imperial College London (2012-2015) in the laboratory of Professor Molly Stevens. He obtained his PhD in Bioengineering from the University of Utah in the laboratory of Professor Hamid Ghandehari (2012), and a BS in Mechanical Engineering from Lehigh University (2006). In January 2017, Adam started the Gormley Lab which seeks to develop bioactive nanobiomaterials using robotics and artificial intelligence. Dr. Gormley is currently the PI of an NIH R35 MIRA Award, an NSF CBET Award, and an NSF Designing Materials to Revolutionize and Engineer our Future (DMREF) Award. He was recently named a Rising Star by Advanced Healthcare Materials, is the recipient of the A. Walter Tyson Assistant Professorship, the Young Innovator Award by Cellular and Molecular Bioengineering, and the Presidential Fellowship for Teaching Excellence.

Gormley’s abstract: The seamless integration of synthetic materials with biological systems long remains a grand challenge, often curtailed by the sheer complexity of the cell-material interface. For decades, biomaterial scientists and engineers have designed around this complexity by rationally designing new materials one experiment at a time. However, recent advances in laboratory automation, high throughput analytics, and artificial intelligence / machine learning (AI/ML) now provide a unique opportunity to fully automate the design process. In this seminar, we put forth our efforts to develop a biomaterials acceleration platform (BioMAP) (i.e., self-driving biomaterials lab) that can rapidly iterate through design spaces and identify unique material properties that perfectly synergize with biological complexity.

2nd Annual Biomolecular Condensates Symposium- October 16-17, 2023

ICYMI: On behalf of the Duke Center for Quantitative Biodesign, we thank all attendees, invited speakers, faculty, and staff for making the 2nd Annual Biomolecular Condensates Symposium during Fall Break a success. Your expertise and participation are greatly appreciated. We are already looking forward to next year’s symposium.

Registration
Poster Session
Session II: Amy Gladfelter, Duke University (left)and (right) Edward Lemeke, Johannes Gutenburg University Mainz presenting: “Decoding Molecular Plasticity in the Dark Proteome.”

In Memoriam: Remembering Dr. Philip Benfey

Philip Benfey, ph.d.

INVESTIGATOR OF THE HOWARD HUGHES MEDICAL INSTITUTE AND THE PAUL KRAMER PROFESSOR OF BIOLOGY

The Duke Center for Quantitative Biodesign mourns the loss of our esteemed colleague, Dr. Philip Benfey, an investigator of the Howard Hughes Medical Institute and the Paul Kramer Professor of Biology. Dr. Benfey was a distinguished scientist, known for his pioneering work in genetics, molecular biology, and mathematical modeling. His groundbreaking research on cellular identity and root development in Arabidopsis thaliana was truly transformative.

Dr. Benfey’s ability to bridge theory and practice was exemplified by his founding of three companies—GrassRoots Biotechnology, Hi Fidelity Technologies, and Ground Control Robotics. He was recognized as a fellow of the American Association for the Advancement of Science and a member of the US National Academy of Sciences.

Beyond his scientific achievements, Dr. Benfey was a warm-hearted mentor and friend who inspired all who knew him. His legacy will continue to inspire future generations of scientists.

Our deepest condolences to Dr. Benfey’s family, students, friends, and colleagues. His memory will forever guide us in our pursuit of scientific excellence.

https://today.duke.edu/2023/10/duke-flags-lowered-philip-benfey-plant-biologist-who-studied-roots-window-development-dies

Sarah Shelton, Ph.D. | October 20, 2023| UNC-NCSU

Biography:

Dr. Shelton earned her B.S. and M.S. degrees in Environmental Sciences and Engineering at the University of North Carolina before joining the UNC-NCSU Joint Department of Biomedical Engineering for her Ph.D. During her doctoral studies under the guidance of Paul Dayton, she developed ultrasound contrast imaging and analysis methods to identify tortuous vasculature for improved cancer diagnosis. She earned a F99K00 award from the NIH to continue her studies of the vascular tumor microenvironment through a postdoctoral fellowship at Massachusetts Institute of Technology with Roger Kamm, with a co-appointment at Dana-Farber Cancer Institute with David Barbie. She rejoined the UNC-NCSU Joint Department of Biomedical Engineering as an Assistant Professor in 2023, and her current research is in the development of microfluidic, organ-on-chip models of disease to uncover how the tissue microenvironment and cellular interactions shape pathology and treatment response.

Abstract:

Microphysiological systems or “organ-on-chip” devices are three-dimensional models of simplified biological tissues that have expanded the types of hypotheses that can be explored in vitro. My work focuses on vascularized models of the tumor microenvironment to understand how the endothelial barrier interacts with circulating cells and the surrounding stroma in order to investigate factors that drive growth, metastasis, and resistance to therapy in oncology.One illustration of the capabilities of these models is the observation of metastasis-on-chip. By perfusing cancer cells through microfluidic vascular models in the presence of plasma proteins, we have begun to uncover how the clotting cascade influences the extravasation of cancer cells. Additionally, I developed vascularized models of the tumor microenvironment using cells from surgical resections to generate patient-specific devices. In this model, cancer-associated fibroblasts altered several functional indicators of endothelial phenotype including vascular morphology, barrier function, angiogenesis, and immune cell recruitment, likely through cytokine signaling. These types of devices allow us to dissect cellular interactions that drive disease using real-time imaging and other biological techniques.

Clay Wright, Ph.D. | October 6, 2023 | Virginia Tech

Biography:

Dr. Clay Wright’s research aims to understand how signaling networks facilitate both plasticity and robustness in plant form and function and to harness this knowledge to engineer proteins, signaling networks, and biosynthetic pathways for applications in agriculture and biotechnology. He received a B.S. in Chemical and Biomolecular Engineering from North Carolina State University prior to his Ph.D. in Chemical and Biomolecular Engineering from Johns Hopkins University and a Postdoctoral Fellowship in the Departments of Biology and Electrical Engineering at the University of Washington. Clay joined Virginia Tech as Assistant Professor in the department of Biological Systems Engineering. The Wright Plant Synthetic Biology lab integrates approaches from synthetic and computational biology, protein engineering, bioinformatics, molecular evolution, and genetics to quantify signaling dynamics, genetic interactions, and functional relationships in plant signaling.

Abstract:

Humanity is faced with an enormous challenge in the coming decades. The world’s population is rapidly growing, and we need to produce enough food, fuel, medicine and goods to support this growth in an environmentally sustainable and restorative way. Plants will inevitably provide many solutions to the problems we face, but we need to build environmentally sustainable, carbon-negative industries as soon as possible. To accelerate the development of improved agricultural systems that can produce more while using less, we apply synthetic biology approaches to map sequence-function relationships in plant signaling pathways and reengineer them. Towards this end we have developed genetically encoded, ratiometric biosensors for the plant growth hormone auxin in the model yeast Saccharomyces cerevisiae to reengineer how plants respond to this critical hormone. These biosensors have improved quantitative functional studies as well as directed evolution of plant auxin perception machinery. Additionally, these sensors can measure the production of auxin during different growth conditions and phases for S. cerevisiae, and may help us better understand auxin as an interkingdom signaling molecule. To effectively scale our reengineering efforts and expedite expansions to other signaling pathways we have recently developed open-source software for building plasmid and strain libraries using low-cost robotics.