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UID:370@escience.washington.edu
DTSTART;TZID=America/Los_Angeles:20260527T163000
DTEND;TZID=America/Los_Angeles:20260527T172000
DTSTAMP:20260520T224012Z
URL:https://escience.washington.edu/events/uw-data-science-seminar-chinmay
 -ratnaparkhe-2/
SUMMARY:UW Data Science Seminar: Richard Colwell
DESCRIPTION:Please join us for a UW Data Science Seminar featuring UW Mater
 ials Science &amp\; Engineering PhD student Richard Colwell on Wednesday\,
  May 27th from 4:30 to 5:20 p.m. PT. The seminar will be held in IEB G109.
 \n"Predictive Modeling of Whole-Biomatter Algal Bioplastics"\nAbstract: Wh
 ole-biomatter algal plastics are an emerging class of sustainable material
 s produced by thermomechanically transforming algal biomass into structura
 lly functional bioplastics. Material performance in these systems is stron
 gly influenced by both processing conditions and biomatter composition\, b
 ut the relationships between these variables remain difficult to predict d
 ue to the complexity and variability of biological feedstocks.\n\nThis tal
 k presents a comparative analysis of three datasets of hot-pressed algal b
 iomaterials developed in the Roumeli Lab. The datasets span systems with v
 arying processing temperatures and pressures\, engineered biomatter analog
 ue compositions\, and multiple algal species with distinct biochemical pro
 files. Across these systems\, mechanical properties including strength\, s
 tiffness\, toughness\, and strain-to-break are analyzed using statistical 
 and machine learning approaches to evaluate the extent to which material p
 erformance can be predicted from fabrication and compositional parameters.
 \n\nThe project explores broader data science questions surrounding predic
 tive modeling in very small experimental datasets for this new family of m
 aterials\, including relationships between coupled mechanical properties\,
  the influence of replicate-scale variability on achievable model performa
 nce\, and methods for identifying reliable trends within sparse\, high-var
 iance experimental systems. By comparing trends across multiple related bi
 omaterials systems\, this work will assist efforts to identify which proce
 ssing–structure–property relationships may generalize across algal bio
 plastics and which remain system-specific.\n\nSpeaker Bio: Richard Colwell
  is a second-year Ph.D. student in the Department of Materials Science &am
 p\; Engineering at the University of Washington and is advised by Dr. Elef
 theria Roumeli. His research focuses on whole-biomatter algal bioplastics\
 , with an emphasis on understanding how processing and composition influen
 ce material structure\, performance\, and degradation. Prior to joining UW
 \, he earned a B.S. in Materials Science &amp\; Engineering from the Massa
 chusetts Institute of Technology and worked in sustainable materials devel
 opment in both startup and industry settings\, including plant-based food 
 materials at Lasso Labs (formerly Tender Food) and alternative packaging e
 valuation in Amazon.\n\n\nThe 2025-2026 seminars will be held in person\, 
 and are free and open to the public.\n\n
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