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DTSTART;TZID=America/New_York:20260924T160000
DTEND;TZID=America/New_York:20260924T170000
DTSTAMP:20260925T181840Z
CREATED:20260918T130101Z
LAST-MODIFIED:20260925T181840Z
UID:7323-1790265600-1790269200@ds.dfci.harvard.edu
SUMMARY:The Experiment Inside the Model: Exact Weighting Representations for Spatial\, Panel\, and Meta-Analytic Studies
DESCRIPTION:2026 Myrto Lefkopoulou Distinguished Lectureship Award\nDr. José Zubizarreta\, Daniel C. Tosteson Professor of Health Care Policy at Harvard Medical School and Professor of Biostatistics at the Harvard T.H. Chan School of Public Health\nHSPH\, Kresge G3 \nDr. Zubizarreta will deliver an in-person lecture on Thursday\, September 24 at 4:00 p.m. in Kresge G3\, followed by a reception in the Kresge Café. \nEarlier that day\, we will also host a Career Lunchtime Chat with Dr. Zubizarreta at 1:00 p.m. The location for the lunchtime chat will be announced soon. \nIf you plan to attend the lecture\, reception\, and/or Career Lunchtime Chat\, please RSVP using the link below. \nRSVP LINK \nIn addition\, if you would like to meet with Dr. Zubizarreta before his talk please use the sign-up link below: \nSIGN UP LINK
URL:https://ds.dfci.harvard.edu/event/the-experiment-inside-the-model-exact-weighting-representations-for-spatial-panel-and-meta-analytic-studies/
LOCATION:Harvard TH Chan School of Public Health\, 677 Huntington Ave\, Boston\, MA\, 02115
CATEGORIES:Symposium
ATTACH;FMTTYPE=image/png:https://ds.dfci.harvard.edu/wp-content/uploads/2026/09/Screenshot-2026-09-18-at-8.59.14-AM-e1789736405311.png
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261001T160000
DTEND;TZID=America/New_York:20261001T170000
DTSTAMP:20260925T181826Z
CREATED:20260925T181826Z
LAST-MODIFIED:20260925T181826Z
UID:7353-1790870400-1790874000@ds.dfci.harvard.edu
SUMMARY:Imaging Organs and Sequencing Blood: Integrative Approaches to Cardiometabolic Disease
DESCRIPTION:HSPH Biostatistics and DFCI Data Science Colloquium\nThursday October 1st at 4:00PM\nHarvard TH Chan School of Public Health\, FXB 301 \nZhi Yu\, M.B\, PhD\, Investigator\, Assistant Professor\, Mongan Institute\, Mass General Research Institute; Assistant Professor of Medicine\, Harvard Medical School \nhttps://hsph.harvard.edu/department/biostatistics/seminars-events/colloquium-seminar-series/
URL:https://ds.dfci.harvard.edu/event/imaging-organs-and-sequencing-blood-integrative-approaches-to-cardiometabolic-disease/
CATEGORIES:Symposium
ATTACH;FMTTYPE=image/png:https://ds.dfci.harvard.edu/wp-content/uploads/2026/09/Screenshot-2026-09-25-at-2.15.48-PM.png
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261008T160000
DTEND;TZID=America/New_York:20261008T170000
DTSTAMP:20261002T132828Z
CREATED:20261002T132828Z
LAST-MODIFIED:20261002T132828Z
UID:7393-1791475200-1791478800@ds.dfci.harvard.edu
SUMMARY:When More isn't Better: A Lesson from Rethinking Scale in Single-cell Foundation Models
DESCRIPTION:HSPH Biostatistics and DFCI Data Science Colloquium\nThursday October 8th at 4:00PM\nHarvard TH Chan School of Public Health\, FXB 301 \nLorin Crawford\, PhD\, Principal Researcher\, Microsoft Research\, Co-Lead Project Ex Vivo \nhttps://hsph.harvard.edu/department/biostatistics/seminars-events/colloquium-seminar-series/ \n  \nThe success of transformer-based foundation models on natural language and images has motivated their use in single-cell transcriptomics. In this talk\, we will assess how pre-training dataset size and diversity affect the performance of single-cell foundation models. Using a corpus of 22.2 million cells\, we pre-trained 400 models and evaluated over 6\,400 experiments. Our results show that current methods tend to plateau in performance with pre-training datasets that are only a fraction of the size\, challenging the assumption that ever-larger datasets are required for optimal generalization. This will lead us to the second half of the talk where we evaluate training data composition on model performance. Focusing on human hematopoiesis\, we train and analyze deep generative models with a variety of training datasets\, including cells from adult and developing tissues\, disease states\, and perturbation atlases. Here\, we observe that (1) deep generative models generalize poorly to unseen cell types and (2) addition of malignant or perturbed cells to healthy corpora does not consistently improve modeling of novel states. These findings highlight the nuanced roles of dataset size and heterogeneity\, suggesting that strategic curation\, rather than indiscriminate scaling\, is key for optimizing single-cell foundation models.
URL:https://ds.dfci.harvard.edu/event/when-more-isnt-better-a-lesson-from-rethinking-scale-in-single-cell-foundation-models/
LOCATION:Harvard TH Chan School of Public Health\, 677 Huntington Ave\, Boston\, MA\, 02115
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ds.dfci.harvard.edu/wp-content/uploads/2026/10/lcrawford-e1790947655998.jpg
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261015T160000
DTEND;TZID=America/New_York:20261015T170000
DTSTAMP:20261002T133413Z
CREATED:20261002T133238Z
LAST-MODIFIED:20261002T133413Z
UID:7399-1792080000-1792083600@ds.dfci.harvard.edu
SUMMARY:From Kentucky to Boston and Back: Memories\, Mentorship\, and the Many Pathologies of Dementia
DESCRIPTION:The Lagakos Distinguished Alumni Award\nHSPH\, FXB 301 \nDavid Fardo\, PhD\, Stephen W. Wyatt Endowed Professor of Public Health\, Department of Biostatistics\, Affiliate Faculty in the Sanders-Brown Center on Aging\, University of Kentucky \nAlzheimer’s disease and related dementias are defined by cognitive decline\, but the biology underlying the decline is remarkably complex. Multiple neuropathologies commonly coexist in the aging brain\, complicating efforts to understand the causes of dementia and offering opportunities for more targeted genetic discovery. In this talk\, I will describe our work using genome-wide association studies of deeply characterized autopsy cohorts to disentangle the genetic architecture of these pathologies. In a lecture about memory-affecting diseases\, it seems appropriate to spend some time remembering the people\, opportunities\, and experiences along the way. I will reflect on the mentors\, collaborators\, trainees\, and friends who made the work possible\, fulfilling\, and tun. \n\nLagakos Award
URL:https://ds.dfci.harvard.edu/event/from-kentucky-to-boston-and-back-memories-mentorship-and-the-many-pathologies-of-dementia/
LOCATION:Harvard TH Chan School of Public Health\, 677 Huntington Ave\, Boston\, MA\, 02115
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ds.dfci.harvard.edu/wp-content/uploads/2026/10/David-Fardo-2.jpeg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20261109T130000
DTEND;TZID=America/New_York:20261109T173000
DTSTAMP:20260925T182122Z
CREATED:20260925T182122Z
LAST-MODIFIED:20260925T182122Z
UID:7358-1794229200-1794245400@ds.dfci.harvard.edu
SUMMARY:2026 HCC Early Career Investigator Symposium
DESCRIPTION:The Harvard Cancer Consortium (HCC) will hold its 14th Annual Celebration of Early Career Investigators in Cancer Research on Monday November 9\, from 1:00 – 5:30 PM. \nThe event will feature a keynote address by Dr. William Dahut\, Chief Scientific Officer at the American Cancer Society\, as well as a series of presentations from early career investigators. \nA poster session/reception will follow. \nRegistration is now open at https://www.dfhcc.harvard.edu/ecis.
URL:https://ds.dfci.harvard.edu/event/2026-hcc-early-career-investigator-symposium/
LOCATION:Dana-Farber Cancer Institute\, 450 Brookline Ave\, Boston\, MA\, 02215\, United States
CATEGORIES:Symposium
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