Speaker: Dr. Li Tao, UHH Biology Department
Title: How Cells Divide: Unlocking the Secrets of Centralspindlin, a Key Molecular Machine in Cytokinesis
Abstract: Cell division is a fundamental process that ensures the accurate segregation of genetic material into daughter cells. Dysregulation of this process underlies numerous human diseases, including cancer. My research focuses on unraveling the molecular mechanisms driving cytokinesis, with a particular emphasis on the centralspindlin complex. Centralspindlin, composed of the kinesin-6 motor (Pav/kinesin-6) and a GTPase-activating protein (Tum/RacGAP), is essential for central spindle assembly, cleavage furrow formation, and the precise positioning of the cleavage plane. Using a combination of in vitro biochemistry and in vivo cell biology, we demonstrate that Tum/RacGAP enhances Pav/kinesin-6 motor activity, converting it into a robust, plus-end- directed motor. This synergy is critical for centralspindlin’s localization and function during cytokinesis. Furthermore, we show that centralspindlin directly transports the Rho guanine nucleotide exchange factor (RhoGEF) to microtubule plus-ends, facilitating localized RhoA activation and proper cleavage plane positioning. This work provides novel insights into the regulation of cell division and highlights centralspindlin’s pivotal contribution to the mechanics of cytokinesis.
Speaker: Dr. Nathanial Brown, Penn State University
Title: Letting go of deficit models of student success.
Abstract: When it comes to student success in college, or the lack thereof, it’s easy to identify deficits in our students. They should learn more in high school, party less in college, and so on. While these deficit models have some truth, we will challenge their validity and explore some logical consequences. Then we will critically analyze a few components of higher education with an intentional avoidance of deficit thinking. The talk will be interactive and accessible to everyone in higher education.
Speaker: Dr. Travis Mandel, UHH Computer Science Department
Title: Investigating Novel Human-in-the-Loop AI Research Challenges in Environmental and Climate Science
Abstract: Artificial Intelligence (AI) has the potential to help natural scientists in a variety of domains collect better data, make better use of their time, and better protect the biodiversity of unique places such as Hawaii. However, despite recent advances in the field, it is still quite challenging to develop robust, reliable, rigorously-evaluated solutions that help scientists with tasks that are difficult and time-consuming. There are many interesting research problems in this space - in this talk, I will highlight some of our ongoing projects, discussing our efforts to compare a number of different approaches to interpolation and uncertainty estimation to aid climate scientists, and to assist scientific annotators in an effective and personalized way. These research projects would not be possible with the assistance of many UH Hilo undergraduate students as well as local high school students.
Speaker: Dr. Anita Marshall, University of Florida
Title: Reimagining Field Science for More Accessible & Inclusive Educational Opportunities
Abstract: Field learning can be a highly beneficial component of earth science education, influencing academic success and feelings of belonging as a geoscientist. However, it can also be a significant barrier when accessibility and disability-specific needs are not met. Through stories from her own personal journey through the geosciences and practical tips and outcomes from The GeoSPACE Project (a hybrid accessible field course for geology and planetary science), this presentation will present the rationale and mechanisms for enabling inclusive learning communities in any setting (field, lab or classroom) and the impact of making science education accessible to all.
Speaker: Dr. Sebastien Vievard, College of Engineering UH Manoa
Title: Spectroscopy using a Photonic Lantern at the Subaru Telescope
Abstract: A Photonic Lantern (PL) is a novel device that efficiently converts a multi-mode fiber into several single-mode fibers. When coupled with an extreme adaptive optics (ExAO) system and a spectrograph, PLs enable high throughput spectroscopy at high angular resolution. The Subaru Coronagraphic Extreme Adaptive Optics (SCExAO) system of the Subaru Telescope recently acquired a PL that feeds a R~4,000 spectrograph optimized for the 600 to 760 nm wavelength range. We present here the integration of the PL on SCExAO, and study the device performance in terms of throughput, field of view, and spectral reconstruction. We also present the first on-sky demonstration of a Visible PL coupled with an ExAO system, showing a significant improvement of x12 in throughput compared to the use of a sole single-mode fiber. We also highlight the faithful reconstruction of spectral features of `Aua [Betelgeuse] and discuss how this work lays the foundation for future advancements in high-throughput photonic instrumentation for high-resolution imaging.
Speaker: Dr. Ellen Meiser, Sociology Department
Title: Making it, Success in the commercial kitchen
Abstract: The restaurant industry is one of the few places in America where workers from disadvantaged backgrounds can rise to positions of power and prestige. Yet with over four million cooks and food-preparation workers employed in America’s restaurants, not everyone makes it to the high-status position of chef. What factors determine who rises the ranks in this fiercely competitive pressure-cooker environment? This book talk explores how the career path of restaurant workers depends on their accumulation of cultural capital with a particular focus on embodied cultural capital– that which is translated through and within workers’ bodies.
Speakers: Lichen Forster and Kamalani Poepoe, Geology Department
Title: TBA
Abstract: TBA
Speaker: Dr. Chester Dabalos, UHH Chemistry Department
Title: TBA
Abstract: TBA
Speaker: Dr. Steve Doo, UHH Marine Science Department
Title: TBA
Abstract: TBA
Speaker: Dr. Nicole Drakos, UHH Physics and Astronomy Department
Title: TBA
Abstract: TBA