2025 Mandala @ MITCo-sponsored by MIT Prajnopaya, Buddhist Student Club, Simmons Hall

The Breakfast Series is a regular series from the MIT Women's League. Women in the MIT community are invited to join us to hear from women faculty and administrators explore the role of women in the academy, sharing the pathways their professional lives have taken — the people and events that have influenced their direction. A full plated breakfast will be served, prepared by Chef Patrick Campbell. This event is open the MIT Community only.Bev Boisseau Stohl is a nonfiction writer with published essays in The Chronicle of Higher Education, the MIT Press, Brevity Blog, Watertown Lit Squad Sampler, and other publications. She has interviewed with Current Affairs Magazine, Reddit (AMA), Open Source radio, CounterPunch, Green and RedPodcast, The Boston Globe, and other social media. Chomsky and Me: A Memoir (OR Books, 2023) is the story of her 24 years as Noam Chomsky’s MIT assistant. Bev, Noam, and her dog Roxy have been featured in graphic novels, and animated in Michel Gondry’s 2013 film, Is the Man who is Tall Happy? Chomsky and Me was long-listed for the 2024 Mass Book Awards. Bev has performed stand-up comedy, appeared on TV news shows talking backward, and has dabbled in ukulele, guitar, piano, dulcimer, and woodworking.Space is limited. Please email kbennett@mit.edu to RSVP, and let us know if you have any dietary restrictions.

Writing Together Online offers the structured writing time to help you stay focused and productive during the busy fall months. Join our daily 90-minute writing sessions and become part of a community of scholars who connect online, set realistic goals, and write together in the spirit of accountability and camaraderie. We offer writing sessions every workday, Monday through Friday. The program is open to all MIT students, postdocs, faculty, staff, and affiliates who are working on papers, proposals, thesis/dissertation chapters, application materials, and other writing projects.Please register for any number of sessions:Monday, Wednesday, and Friday 9:00–10:30am (EST) Tuesday and Thursday, 8:00–9:30am and 9:30-11:00am (EST)For more information and to register, go to this link or check the WCC website. Please spread the word and join with colleagues and friends. MIT Students and postdocs who attend at least 5 sessions per challenge will be entered into a gift-card raffle.

On view October 1 -- December 11, 2025This exhibition draws on archival materials from the Aga Khan Documentation Center at MIT (AKDC) to explore a century of cultural heritage preservation in Aleppo, Syria. It takes as its point of departure the work of Kamil al-Ghazzi (1853–1933), the pioneering Aleppine historian whose influential three-volume chronicle, Nahr al-Dhahab fī Tārīkh Ḥalab (The River of Gold in the History of Aleppo), was published between 1924 and 1926.Ink, Stone, and Silver Light presents three modes of documentation—manuscript, built form, and photography—through which Aleppo’s urban memory has been recorded and preserved. Featuring figures such as Michel Écochard and Yasser Tabbaa alongside al-Ghazzi, the exhibition traces overlapping efforts to capture the spirit of a city shaped by commerce, craft, and coexistence. At a time when Syria again confronts upheaval and displacement, these archival fragments offer models for preserving the past while envisioning futures rooted in dignity, knowledge, and place.

Speaker: Marina Sirota (University of California, San Francisco)Title: From Data to Knowledge: Integrating Clinical and Molecular Data for Predictive MedicineAbstract: Alzheimer’s disease (AD) remains one of the most pressing medical challenges, with limited therapeutic options and heterogeneous disease trajectories complicating diagnosis and treatment. Recent advances in computational biology and artificial intelligence (AI) together with availability of rich molecular and clinical data, offer new opportunities to address these challenges by integrating molecular, clinical, and systems-level insights. In our recent studies, we developed a cell-type-directed, network-correcting approach to identify and prioritize rational drug combinations for AD, enabling targeted modulation of disease-relevant pathways across distinct cellular contexts (Li et al., Cell 2025). Complementarily, by leveraging large-scale electronic medical records (EMRs) integrated with biological knowledge networks, we demonstrated the ability to predict disease onset and progression while uncovering mechanistic insights into AD heterogeneity (Tang et al., Nature Aging 2024). Together, these complementary approaches illustrate the power of combining real-world clinical data, knowledge networks, and systems pharmacology to advance precision medicine for AD. This work highlights a paradigm shift toward AI-enabled, data-driven strategies that bridge molecular discovery and clinical application, ultimately informing novel therapeutic interventions and improving patient care.Biography: Marina is currently a Professor and the Interim Director at the Bakar Computational Health Sciences Institute at UCSF. Prior to that she has worked as a Senior Research Scientist at Pfizer where she focused on developing Precision Medicine strategies in drug discovery. She completed her PhD in Biomedical Informatics at Stanford University. Dr. Sirota’s research experience in translational bioinformatics spans nearly 20 years during which she has co-authored ove r 170 scientific publications. Her research interests lie in developing computational integrative methods and applying these approaches in the context of disease diagnostics and therapeutics with a special focus on women’s health. The Sirota laboratory is funded by NIA, NLM, NIAMS, Pfizer, March of Dimes and the Burroughs Wellcome Fund. As a young leader in the field, she has been awarded the AMIA Young Investigator Award in 2017. She leads the UCSF March of Dimes Prematurity Research Center at UCSF as well as co-directs ENACT, a center to study precision medicine for endometriosis. Dr. Sirota also is the founding director of the AI4ALL program at UCSF, with the goal of introducing high school girls to applications of AI and machine learning in biomedicine.In person or on Zoom at https://mit.zoom.us/j/93513735220