According to recent WPI data, transgender and nonbinary students are more likely to report experiencing discrimination due to their identity (47% of transgender and nonbinary students compared to 20% of cisgender students) and are less likely to report having a faculty or staff member who definitely cares about them (30% of transgender and nonbinary students compared to 38% of cisgender students).With a growing population of ~10% transgender and nonbinary students, we will use this workshop to share some experiences of transgender and nonbinary students on campus and in the classroom environment. We will report data from the Wellbeing Improvement Survey for Higher Education Settings (WISHES) survey, Enrolled Student Survey (2023), and additional follow-up focus groups and conversations.We will discuss and help you identify creative pedagogical tools to support this population and all students to thrive in your classroom, from lecture to lab and projects to seminars. All are welcome to attend this workshop!Please register by Thursday, October 30th, so we can finalize the headcount for lunch.

The Materials Science Behind Sustainable Steel ProductionAbstractIron- and steelmaking stand for about 8% of all global greenhouse gas emissions, which qualifies this sector as the biggest single cause of global warming [1,2]. This originates from the use of fossil carbon carriers as precursors for the reduction of iron oxides. Carbon is turned in blast furnaces into CO and – through the redox processes reducing iron oxide – into CO2, producing about 2 tons CO2 for each ton of steel produced.Mitigation strategies pursue the replacement of fossil carbon carriers by sustainably produced hydrogen and / or electrons as alternative reductants, to massively cut these CO2 emissions, thereby lying the foundations for transforming a 3000 years old industry within a few years [1,2].As the sustainable production of hydrogen using renewable energy is a bottleneck in green steel making, at least during the next decade (transforming this industry would need about 300 Million tons of green hydrogen each year, i.e. about 5 orders of magnitude more than produced around the globe today), the gigantic annual steel production of 1.85 billion tons requires strategies to use hydrogen and / or electrons very efficiently and to yield high metallization at fast reduction kinetic.This presentation presents progress in understanding the governing mechanisms of hydrogen-based direct reduction and plasma reduction of iron oxides and also shows how these methods work for other transition metal reduction processes [2-5]. The metallization degree, reduction kinetics and their dependence on the underlying redox reactions in hydrogen-containing direct and plasma reduction strongly depend on mass transport kinetics, Kirkendall effects, nucleation phenomena during the multiple phase transformations, chemical and stress partitioning, the oxide's chemistry and microstructure, the acquired (from sintering) and evolving (from oxygen loss) porosity, crystal plasticity, damage and fracture effects associated with the phase transformation phenomena occurring during reduction [5-8]. Understanding these effects, together with external boundary conditions such as other reductant gas mixtures (including also ammonia [8]), oxide feedstock composition [9], pressure and temperature, is key to produce hydrogen-based green steel and design corresponding direct reduction shaft or fluidized bed reactors (with and without plasma support), enabling the required massive C02 reductions at affordable costs. Possible simulation approaches that are capable of capturing some of these phenomena and their interplay are also discussed [3-8].BiographyDr. Dierk RaabeProf. Dr. habil. Dr. h.c.Managing Director, Max Planck Institute for Sustainable MaterialsMax-Planck-Str. 1, 40237 Duesseldorf, GermanyEmail: d.raabe@mpi-susmat.dehttps://www.mpi-susmat.dehttps://www.mpie.de/2763408/microstructure_physics_and_alloy_designDierk Raabe studied music, metallurgy and metal physics (summa cum laude) at RWTH Aachen (Germany). After his doctorate 1992 (summa cum laude) and habilitation 1997 at RWTH Aachen he received a Heisenberg fellowship and worked at Carnegie Mellon University and at the High Magnetic Field Lab in Tallahassee. He joined Max Planck Society as a director in Düsseldorf at the Max Planck Institute for Iron Research (now: Max Planck Institute for Sustainable Materials) in 1999. His main research interest is Sustainable Metallurgy, i.e. to make industrial production, use and recycling of materials more sustainable, focusing on basic research with high leverage for CO2 emission mitigation and lower energy consumption. His specific interests are in sustainable metals (specifically ���green’ steel, Nickel, Aluminium, Titanium etc.), recycling-oriented material design, metal physics, interfaces, phase transformation, atom probe tomography, materials theory, hydrogen, and artificial intelligence methods in materials science. He received the Gottfried Wilhelm Leibniz Award (Highest German Science Awards) and two ERC Advanced Grants (Highest European Research Grant). He is professor at RWTH Aachen (Germany) and at KU Leuven (Belgium). He is a Doctor Honoris Causa at the Norwegian Technical University Trondheim. He is a member and Senator of the German National Science Academy Leopoldina and of the US National Academy of Engineering. ZOOM MEETING LINK: https://wpi.zoom.us/j/93538117042

TIAA will help you make an informed decision based on legal issues, financial goals and personal wishes.

Looking for a way to make your day less stressful and more mindful...take some much-needed time for yourself and join us for Mindful Wednesdays! Drop-in meditation sessions are open to the entire WPI community, and no experience is necessary. A certified meditation teacher will offer guided meditations appropriate for both beginners as well as experienced meditators. People can join in person or via zoom.

Title:Mapping Biology with AI to Revolutionize Drug Discovery Abstract:The persistent challenge of "Eroom's Law", the decades-long decline in drug discovery R&D efficiency, necessitates new paradigms for biological research. This talk presents a high-throughput, data-driven approach centered on generating and modeling petabyte-scale morphological datasets. Using an automated platform, millions of experiments are performed weekly, applying diverse perturbations (e.g., small molecules, whole-genome CRISPR knockouts) to human cells, with phenotypic responses captured via high-content microscopy using the Cell Painting protocol. A key focus of this talk is the development and scaling of representation learning models to interpret this massive image data. We will detail the technical progression from weakly-supervised learning (WSL) to large-scale, self-supervised foundation models, specifically Masked Auto-encoders (MAEs). We will demonstrate that increasing model size and data volume yields more powerful representations that effectively recapitulate known biological relationships, creating robust "maps of biology." The practical utility of these models will be explored through case studies, including the identification of novel biological insights and the ability to uncover subtle, large-scale data artifacts, such as "proximity bias" in CRISPR-based functional genomics screens. Finally, we will discuss future directions focused on building a more holistic, multi-modal understanding of cellular states by integrating orthogonal datasets with these rich morphological profiles. Speaker:Safiye CelikDirector of Data Science, Recursion Bio:Safiye Celik is the Director of Data Science at Recursion, with 18 years of experience in computing and AI, including 12 years leading high-impact initiatives in industry and government research. She holds a PhD in Computer Science and Engineering from the University of Washington, where her research applied machine learning to characterize complex biological systems, uncovering novel insights in cancer and Alzheimer's disease. At Recursion, she leads a team that develops, deploys, and optimizes machine learning models to transform experimental data into comprehensive maps of biology, advancing the vision of industrializing drug discovery. Host: Professor Ulkuhan Guler

These trainings are divided into a 101- and 201-level and will be offered on a termly basis in Stratton Hall 311. Both trainings will include creating an action plan and discovering new resources for continued learning. Please contact Lauren Feldman (they/she) at diversity@wpi.edu with any questions or accommodations requests. All are welcome to attend! 101: Learn about identities, pronouns, and how to advocate for your students and colleagues. A-Term: Wednesday, September 10, 2:00-3:30pm ET Zoom: Tuesday, October 14, 1:30-3:00pm ET B-Term: Tuesday, October 28, 11:00am-12:30pm ET 201: Learn about LGBTQIAP+ history, queer identity in other cultures, and queer liberation. Participants are encouraged to either attend the 101 training or have solid foundational knowledge before attending the 201 training. A-Term: Wednesday, September 17, 2:00-3:30pm ET B-Term: Wednesday, November 5, 1:30-3:00pm ET