BBL / BYOC Series: June 25th – Cyber Institute
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Bryan Cwik Brown Bag Lunch Speaker
Dr. Bryan Cwik, Assistant Professor of Philosophy and University Studies at Portland State University, will be speaking at CMCI’s Brown Bag Lunch on Monday, February 11, 12:30 p.m., in the Collaboratorium. Title: Moving Beyond ‘Therapy’ and ‘Enhancement’ in the Ethics of Gene Editing Abstract: Since the advent of recombinant DNA technology, expectations (and trepidations) about…
Writing Working Group (Writing WG)
Come join the Writing Working Group on Tuesdays @1:30-4:30pm in the Collaboratorium (IRIC 352) for a consistent and accountable time and place to write!
Celebrating the “Collaboratorium” (IRIC 352)
Coffee, community, grassrooting. These are some of the things that brings IMCI together. At the heart of IMCI is the “Collaboratorium”. Faculty, students, and postdocs working in both modeling and empirical areas meet with postdoctoral scientists who devote full-time efforts to collaborative modeling. Our goal is to bring together the brightest minds across disciplines to…
Ethics of Gene Editing Talk Rescheduled
Dr. Bryan Cwik, Assistant Professor of Philosophy and University Studies at Portland State University, will deliver his talk titled “Moving Beyond ‘Therapy’ and ‘Enhancement’ in the Ethics of Gene Editing,” on Monday, April 8 at 12:30 p.m. in the Collaboratorium (IRIC 352). If you would like an opportunity to meet with Dr. Cwik while he…
Solve the Puzzle!
Several people reported the correct answer and students and postdocs were rewarded with chocolate at the CMCI Luncheon yesterday. The image was created by CMCI Postdoctoral Fellow Dharmesh Patel for the College of Science 2018 Photography and Graphic Arts Contest. Congratulations to CMCI student researcher Emmanuel Ijezie who submitted one of the top 5 images…
Brown Bag Lunch Series: LLM Reasoning in Healthcare: Faithful Explanations or Plausible Rationalizations?
Achieving trustworthy AI in healthcare remains a significant challenge, as existing eXplanation Artificial Intelligence (XAI) methods like attention maps or LIME/SHAP are often dismissed by clinicians and patients as uninterpretable. While the reasoning LLMs initially seemed promising for generating natural-language explanations, they often create unfaithful rationalizations that obscure a model’s true logic. To solve this,…
