Join Miranda Dawson, a Postdoctoral Researcher at the MIT McGovern Institute for a conversation around Goldin+Senneby: Flare-Up.Miranda will explore how neuroimaging can go beyond diagnostics and answer a central question: does opioid dependency arise from the brain, the body, or their interaction? By selectively manipulating neuronal populations, her work reveals distinct forms of neuroplasticity that shape this relationship. Miranda's research will provide a framework to understand Goldin+Senneby's work, which explores the pharmaceutical industry and their interest in the lucrative treatments used to treat multiple sclerosis flare-ups.This event is free, but please register through the Eventbrite link in advance.About the SpeakerMiranda Dawson is a neuroengineer in the Department of Biological Engineering, developing advanced neuroimaging tools to study the brain–body connection. She earned her undergraduate degree from the University of Illinois at Urbana-Champaign and completed her PhD at MIT. Her research focuses on neural representations of physiological processes, particularly opioid-induced neuroplasticity across the central and peripheral nervous systems. Through this work, she aims to uncover the mechanisms underlying addiction and inform strategies for recovery.Graduate Student TalksMIT graduate students and postdocs explore current exhibitions at the List Center through the lens of their own research, background, and interests. Join us for this interdisciplinary lecture series where we dive into how art and research are overlapping on MIT’s campus.

Silent Meditation in the Chapel on Thursdays 6-8pm, open to everyone in the MIT Community. Some sessions include Guided Meditation at 6:30pm.

Interested in climate and sustainability and curious where you can make a difference? Attend the Climate and Sustainability Career Expo to learn about research, internships, and careers in climate.Salata Institute Climate and Sustainability Career Expo – Friday, November 7, 2025, 1-4:30 ET, Harvard’s Gutman Conference Center – 6 Appian Way, Cambridge, MA 02138Register for the event using this form. Shuttle transportation will be available for MIT students, making continuous loops between the main campus and Harvard from 12:15 p.m. to 5:00 p.m. To take the shuttle, meet at the steps of 77 Mass Avenue.How is a career expo different from a career fair?This event is intended to be a opportunity that encourages employers to showcase their work in the climate and sustainability space even if their full-time or internship opportunities are not yet posted. During the Career Expo employers will promote upcoming jobs, internships, research experiences, and projects at their organizations. While some employers may have roles posted by the event on Friday, November 7, 2025, many employers will open applications over the winter or in the spring.The partnership is supported by the following MIT Departments: Chemical Engineering, Civil and Environmental Engineering, Climate Education, Earth Atmospheric and Planetary Science, Mechanical Engineering, Sloan Climate Sustainability,Nuclear Engineering, Energy Initiaitve, Office of Sustainability, Undergraduate Advising Center, and Career Advising and Professional Development.Please note this event is an undergraduate and graduate student only event, please bring your student id with you to the career expo to confirm your registeration.

Chemistry Student Seminar (CSS) is a student-organized seminar series that host graduate students and postdocs to share their research in a friendly and informal environment. Free donuts and coffee are provided.

Speaker: Tatsunori Hashimoto (Stanford University)Abstract: Compute scaling has dominated the conversation with modern language models, leading to an impressive array of algorithms that optimize performance for a given training (and sometimes inference) compute budget. But as compute has grown cheaper and more abundant, data is starting to become a bottleneck, and our ability to exchange computing for data efficiency may be crucial to future model scaling. In this talk, I will discuss some of our recent work on synthetic data and algorithmic approaches to data efficiency, and show that in both cases, classical statistical perspectives based on nonparametric modeling and ensembling bring new insights and empirical benefits to modern questions of scaling and data efficiency.Biography: Tatsunori Hashimoto is an Assistant Professor in the Computer Science Department at Stanford University. Work from his group spans many areas within statistical machine learning and language models including language model post-training, uncertainty quantification, and data selection. He received his Ph.D. at MIT under the supervision of Tommi Jaakkola and David Gifford, and is the recipient of the NSF CAREER, Samsung AI researcher of the year award, a Kavli fellowship as well as best paper awards at ICML, ICLR, and CHI.