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DTSTART;VALUE=DATE:20261208
DTEND;VALUE=DATE:20261209
DTSTAMP:20261113T150528Z
SUMMARY:NITMB Industry Exchange
UID:647257@northwestern.edu
TZID:America/Chicago
DESCRIPTION:New math for biology — from first principles to real-world problems.  On December 8\, 2026\, the NSF-Simons National Institute for Theory and Mathematics in Biology (NITMB) invites industry scientists to join our researchers in downtown Chicago for a day of conversations about how our pure research can translate to industrial sectors.   Across biotech\, pharma\, diagnostics\, genomics\, and agriculture\, the hardest problems often come back to the same core challenges:  pulling signal from sparse or noisy measurements\, staying accurate in high dimensions\, predicting from only a handful of experiments\, tracking change over time\, linking molecular readouts to phenotype\, or choosing the next construct or experiment when the design space is vast. Our researchers work on these very problems — inference\, prediction\, dynamical systems\, uncertainty quantification\, and optimization — and our aim at this Exchange is to explore connections between our work and the biological problems and applications of industry.  The day will feature short\, accessible lightning talks that situate introducing biological questions and problems\, mathematical toolkits\, and potential connections to industry. The talks will be grouped into three thematic verticals: Foundations and Shared Toolkits\, Agriculture and Biotech\, and Human Health. Each vertical will be followed by small-group breakout discussions led by the speakers. We will close with a Science Fair and Reception\, creating opportunities for attendees to connect with trainees\, learn about their work\, and engage with the research community.  What you might take away The day is built to surface overlap between our methods and your problems. Depending on where you work\, you’re most likely to find useful connections in:  • Tools & instrumentation — algorithms that extract biological meaning from complex measurements — separating signal from noise\, analyzing spatial or high-dimensional data\, predicting how systems change over time.  • Biopharma & biotech R&D — quantitative modeling of cell-state changes\, drug response\, physiology\, or sparse preclinical data.  • Clinical & translational — biomarkers\, pathology\, or longitudinal patient data — connecting biological measurements to treatment response and disease progression.  • AI diagnostics & precision medicine — biomarker signatures that must replicate across cohorts\, or tissue-based models that must generalize beyond training data and hold up under regulatory scrutiny.  • Enabling technologies — structure-aware sequence design\, guide or probe optimization\, generative sequence libraries\, or getting more out of each design–build–test round.  • Enabling technologies — structure-aware sequence design\, guide or probe optimization\, generative sequence libraries\, or getting more out of each design–build–test round.  Discussion groups will remain small to stay focused and substantive. To optimize this time\, come ready to share a problem from your own work\, for which current methods fall short.\n\nMore Info: https://www.nitmb.org/event/nitmb-industry-exchange/\n\nRegister: https://www.nitmb.org/event/nitmb-industry-exchange/
LOCATION:Suite 3500\, 875 N Michigan Ave\, Chicago\, IL 60611
TRANSP:TRANSPARENT
URL:https://www.nitmb.org/event/nitmb-industry-exchange/
CREATED:20261005T050000Z
STATUS:CONFIRMED
LAST-MODIFIED:20261005T050000Z
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