BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.4.6//EN TZID:Europe/Helsinki X-WR-TIMEZONE:Europe/Helsinki BEGIN:VEVENT UID:187042@bioscience.fi DTSTART;TZID=Europe/Helsinki:20261021T150000 DTEND;TZID=Europe/Helsinki:20261021T160000 DTSTAMP:20261001T142742Z URL:https://bioscience.fi/events/mist-guest-seminar-prof-william-stafford- noble/ SUMMARY:MIST Guest Seminar: Prof. William Stafford Noble DESCRIPTION:Host: Balazs Balint (balazs.balint@utu.fi)\n\nCoffee and pulla served at 14:30\, first come first serve!\n\nAbout the speaker\n\nProf. Wi lliam Stafford Noble\, University of Washington\, USA\nMachine learning me thods for proteomics mass spectrometry data\n\nNoble research group develo ps and applies computational techniques for modeling and understanding bio logical processes at the molecular level. Their research emphasizes the ap plication of statistical and machine learning techniques\, such as hidden Markov models and support vector machines. The team applies these techniqu es to various types of biological data\, including protein and DNA sequenc es\, data from high-throughput genomic assays such as ChIP-seq and Hi-C\, and tandem mass spectrometry. Prof. Noble’s research group is currently developing methods for analyzing shotgun proteomics data\, for characteriz ing protein function\, structure and interactions\, and for understanding the structure and regulatory influence of chromatin.\n\nWilliam Stafford N oble is a Professor in the Department of Genome Sciences and in the Paul G . Allen School of Computer Science and Engineering at the University of Wa shington. He received the Ph.D. in computer science and cognitive science from University of California\, San Diego in 1998. Dr. Noble’s research applies statistical and machine learning methods to the analysis of comple x biological data sets. He is the author of more than 350 peer reviewed pu blications and has advised 39 postdoctoral fellows and 31 PhD students. Wi lliam is the recipient of the International Society for Computational Biol ogy Innovator award\, the US Human Proteome Organization Gilbert S. Omenn Computational Proteomics Award\, and is a Fellow and former member of the Board of Directors of the ISCB.\n\n \;\n\nSelected publications\n\nJha A\, Hristov B\, Wang X\, Wang S\, Greenleaf WJ\, Kundaje A\, Aiden EL\, B ertero A\, Noble WS. Prediction and functional interpretation of inter-chr omosomal genome architecture from DNA sequence with TwinC. Nat Commun. 202 6 Apr 20. in press\n\nSanders J\, Wen B\, Rudnick PA\, Johnson RS\, Wu CC\ , Riffle M\, Oh S\, MacCoss MJ\, Noble WS. A transformer model for de novo sequencing of data-independent acquisition mass spectrometry data. Nat Me thods. 2025 Jul\;22(7):1447-1453.\n\nSanders J\, Wen B\, Rudnick PA\, John son RS\, Wu CC\, Riffle M\, Oh S\, MacCoss MJ\, Noble WS. A transformer mo del for de novo sequencing of data-independent acquisition mass spectromet ry data. Nat Methods. 2025 Jul\;22(7):1447-1453.\n\nBittremieux W\, Noble WS. Self-supervised learning from small-molecule mass spectrometry data. N at Biotechnol. 2026 Apr\;44(4):538-539. ATTACH;FMTTYPE=image/jpeg:https://bioscience.fi/wp-content/uploads/2026/10 /MIST-WilliamS-thumbnail@300ppi.png CATEGORIES:Turku Bioscience Events LOCATION:Lauren 2 (MED D1016)\, Kiinamyllynkatu 10\, Turku\, 20520\, Finlan d X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Kiinamyllynkatu 10\, Turku\ , 20520\, Finland;X-APPLE-RADIUS=100;X-TITLE=Lauren 2 (MED D1016):geo:0,0 END:VEVENT BEGIN:VTIMEZONE TZID:Europe/Helsinki X-LIC-LOCATION:Europe/Helsinki BEGIN:DAYLIGHT DTSTART:20260329T040000 TZOFFSETFROM:+0200 TZOFFSETTO:+0300 TZNAME:EEST END:DAYLIGHT END:VTIMEZONE END:VCALENDAR