Events

My research team leverages data science to tackle previously intractable questions about how social and chemical environmental factors influence health and wellness. Equally important, we collaborate with local organizations and communities to effectively communicate environmental risks, driving actionable solutions that reduce disease burden, save lives, and enhance overall well-being.

Evolution occurs when selective pressures from the environment shape inherited variation over time. Within the laboratory, evolution is commonly used to engineer proteins and RNA, but experimental constraints have limited our ability to reproducibly and reliably explore key factors such as population diversity, the timing of environmental changes, and chance. We developed a high-throughput system […]

Speaker Bio: Dr. Ford Versypt earned a B.S. from the University of Oklahoma and an M.S. and a Ph.D. from the University of Illinois, all in Chemical Engineering. She did her postdoc at MIT. She started her academic career at Oklahoma State University before joining the University at Buffalo as a tenured associate professor in […]

Please join us for an in-person post-event coffee hour where great ideas brew over a cup!

Artificial intelligence and machine learning have become important components of the computational toolbox that can be used to advance chemical research and discovery. Our group has been working on advancing AI/ML as it applies to the broad subfields of synthetic organic chemistry (for developing/discovering reactions), medicinal chemistry (for developing/discovering new functional molecules), and analytical chemistry […]

The Leslie lab develops novel computational methods to study cellular biological systems from a global and data-driven perspective. They seek to exploit diverse, high-throughput functional and genomic data to understand the molecular networks underlying fundamental cellular processes, including regulation of transcription, pre-mRNA processing, signaling, and post-transcriptional gene silencing. Today's talk will present recent machine learning […]

The initial Human Genome Project was a landmark achievement, serving as an essential resource for basic and clinical science, as well as for understanding human history, for over two decades. However, it is in need of an upgrade due to missing data, inaccurately assembled regions, and its inability to fully represent and identify sequence variants […]

Join us for a lecture from Professor David Mooney, the Pinkas Family Professor of Bioengineering in the Harvard School of Engineering and Applied Sciences, and a Core Faculty Member of the Wyss Institute. Professor Mooney will present his talk: Matrix Viscoelasticity: Control of Cell Fate to Medical Adhesives Reception to follow.