Past Events

Setting and sticking to a consistent writing schedule is key to improving skills and accomplishing your writing tasks (don’t just take our word for it). COE graduate students are invited to join the CommLab writing group to share best practices, get feedback from your peers, and work on any writing project (dissertation, thesis, manuscript, fellowship, poster, presentation, or other forms of technical communications). We will meet weekly in 306 Egan for 2 hours; you do not have to attend all…

Join our weekly virtual workshop, "Challenging Conversations," every Tuesday from 5:00 PM to 6:00 PM. This community of practice helps you build the skill of navigating difficult discussions with peers and individuals of varying authority. Learn practical strategies, engage in role-playing exercises, and connect with like-minded peers to enhance your communication abilities. Register to join us on Zoom now to confidently handle challenging conversations in any context.

Join the Department of Bioengineering for our Fall Seminar Series, where we host scholars from outside institutions to come to campus and give a seminar on their research.

Looking to improve your conversational skills and effortlessly connect with others? This workshop series will equip you with the essential tools, techniques, and practice to connect with others, whether you are attending networking events, social gatherings, or simply looking to strike up conversations with new acquaintances. Join us for these fun-filled sessions where we’ll explore icebreakers, conversation starters, and strategies to keep the dialogue flowing naturally. Don’t miss out on this opportunity to boost your confidence and unlock new connections.…

Title: Making Deep Neural Network Transparent Date: 11/29/2023 Time: 3:00:00 pm Committee Members: Prof. Jennifer Dy (Advisor) Prof. Mario Sznaier Prof. Eduardo Sontag Prof. Peter Castaldi Abstract: As machine learning algorithms are deployed ubiquitously to a variety of domains, it is imperative to make these often black-box models transparent. The ability to interpret and comprehend the reasoning behind machine learning models plays a pivotal role in increasing  user trust. It not only offers insights into how a model functions but…

Title: Making Deep Neural Network Transparent Date: 11/29/2023 Time: 4:30:00 PM Committee Members:- Prof. Jennifer Dy Prof. Eduardo Sontag Prof. Mario Sznaier Prof. Peter Castaldi Abstract: As machine learning algorithms are deployed ubiquitously to a variety of domains, it is imperative to make these often black-box models transparent. The ability to interpret and comprehend the reasoning behind machine learning models plays a pivotal role in increasing user trust. It not only offers insights into how a model functions but also…