September 9, 2025
UW + Amazon Science Hub Research and Networking Mixer
The UW + Amazon Science Hub invites you to join us for an exciting event of connection and discovery during our Research & Networking Mixer on Tuesday, October 21st! The event aims to spark collaborative conversations on research focus areas, real-world applications, and intersecting interests. Several Amazon business groups, spanning a wide range of research areas, will be spotlighted during the event to share insights into their team and key research challenges they are aiming to solve. From there, we offer the opportunity for Amazonians and UW Researchers to build meaningful connections through our networking reception and lay the foundation to start new research collaborations.
Event Program
| 3:00 PM | Welcome Remarks |
| 3:15 PM | Amazon Science Talks*
World Wide Sustainability AWS Responsible AI Amazon Advertising *Amazon business groups will provide quick overview of business group, recent innovations, and what is on the horizon/what research problem they hope to solve. The list of research groups will be continuously updated as speakers are confirmed. |
| 3:55 PM | UW Keynote Address “Social Reinforcement Learning” Natasha Jaques, Assistant Professor Paul G. Allen School of Computer Science & Engineering |
| 4:30 PM | Networking Reception and Poster Session |
The UW + Amazon Science Hub is pleased to host a poster session as part of the networking reception. Please see below for additional details about the session.
Posters & Presenters:
- A Time-Space Capacitated Flow‑Refueling Location Model for Megawatt‑Class Electric‑Truck Charging with Optional Private‑EV Sharing
- Don MacKenzie, Professor, Civil & Environmental Engineering, University of Washington
- Mohammad Mehdi Oshanreh, Graduate Student
- An Egocentric Visuo-Tactile Sensing Platform for Capturing Bimanual Manipulations in the Wild
- Devin Murphy, Graduate Student Wearable Intelligence Lab, Electrical & Computer Engineering Department
- Capacitive Eyetracker for Real-time Fatigue Monitoring and Human-Machine Interface
- Jaehyun Chung, Associate Professor, Mechanical Engineering, University of Washington
- Shawn Kim, PhD Student
- Deriving Orthographic Data from Classical Japanese Texts with Machine-Learning Methods
- Paul Atkins, Professor, Asian Languages & Literature, University of Washington
- Michael R. Zeng, PhD Student
- From Ambiguity to Action: Dynamic Human-LLM Teaming in Multi-Modal Decision-Making
- Shuai Huang, Professor, Industrial & Systems Engineering, University of Washington
- Congjing Zhang, PhD Student, Amazon AI PhD Fellow
- Human-Machine Interaction Lab (HMI)
- Sam Burden, Associate Professor, Electrical & Computer Engineering Department, University of Washington
- Interactive and Flexible Human-Agent Collaboration via Interleaved Co-Planning and Co-Execution
- Amy Zhang, Associate Professor, Paul G. Allen School of Computer Science & Engineering
- Kevin Feng, PhD Student
- KathDB: Explainable Multimodal Database Management System with Human-AI Collaboration
- Magdalena Balazinska, Professor & Director, Paul G. Allen School of Computer Science & Engineering
- Guorui Xiao, PhD Student
- Learning to Detect Slip through Tactile Measures of the Contact Force Field and Physics-Based Features
- Xu Chen, Director of Boeing Advance Research Collaboration (BARC), Associate Professor, Mechanical Engineering, University of Washington
- Machine Learning Workflows for Predictive Modeling of Moiré Superlattices in 2D Materials
- Yueyao Fan, PhD Student, Materials Science and Engineering
- Multimodally sensing knitted fabrics for rehabilitation assessment
- Sen Zhang, Postdoctoral Scholar, Electrical & Computer Engineering, University of Washington
- Proactive Hearing Assistants that Isolate Egocentric Conversations
- Guilin Hu, PhD Student, Paul G. Allen School of Computer Science & Engineering
- Valid Inference With LLM Predictions From Text Narratives
- Tyler McCormick, Professor, Sociology and Statistics, University of Washington
- Adam Visokay, PhD Student
Event Details
Date & Time: Tuesday, October 21 3PM-5:30PM
Location: Denny Room(1st floor), Oak Hall
4295 Little Canoe Channel NE
Seattle, WA 98195
RSVP
Thank you for your interest. RSVPs for this event is now closed.
FAQs
Do I need to RSVP to attend this event?
Yes, RSVPs are required to attend this event. RSVPs for this event is now closed.
Can’t make it?
Sorry we’ll miss you at this event!
Can I attend the event virtually?
In an effort to strengthen connections, we are currently only offering this event in person. Thank you for your understanding!
Will parking be available?
Yes! We recommend using self-serve parking lots C04 or C06 (Central Plaza Garage). A map of available parking near campus can be found here.
Please contact Sharay (sharayr@uw.edu) to receive parking arrangements.
Who is the intended attendance of the event?
Amazon research scientists, UW Faculty and UW Graduate Students presenting research posters are welcome to the event.